HR and People Ops Release Notes
Release notes for HR, payroll and people operations platforms
Products (7)
Latest HR and People Ops Updates
- October 2026
- No date parsed from source.
- First seen by Releasebot:Oct 14, 2026
Reintroducing Rippling Automated Compliance: AI for every stage of compliance
Rippling reintroduces Automated Compliance with multi-framework support, automated evidence collection, AI-assisted remediation, an auditor portal, and publishable Trust Centers, helping GRC teams manage audits and customer security reviews in one connected platform.
Today, we're reintroducing Rippling Automated Compliance with a set of new features to help Governance, Risk, and Compliance (GRC) teams run every stage of their compliance program: before, during, and after an audit.
We've added multi-framework support, broader integration coverage, a built-in audit portal, publishable Trust Centers, and embedded AI workflows to speed up repetitive work like framework setup, remediation, and security questionnaires.
Those capabilities allow Automated Compliance to support mature, multi-framework GRC programs – whether they use other Rippling products or not – while also helping customers of Rippling's HR and IT tools bring compliance work closer to their systems of record.
Multi-framework setup and reusable libraries
Automated Compliance is compatible with multiple templated frameworks, including SOC 2, ISO 27001, and HIPAA today, as well as GDPR and PCI DSS, on the way in December.
Rippling AI can help you set up any of those templated frameworks, build a custom framework, or import your existing program, so GRC teams can connect their data sources and map their controls while saving hours of manual work upfront.
Libraries of policies, controls, evidence monitors, risks, and vendors can be reused across frameworks, so GRC teams never have to start from a blank page.
Automated evidence collection and inline remediation
Evidence can be automatically collected from connected third-party systems, just as they are from first-party Rippling HR and IT solutions, so GRC teams don't spend their time collecting screenshots and exports.
As controls are monitored, Rippling helps identify missing evidence, outdated policies, and incomplete monitors, proactively suggesting remediations that admins can carry out with AI.
“The thing that has probably moved us the farthest is the AI remediations. That's by far the biggest time savings… We don't have to do a whole lot of architecture review because the AI remediations have already done that for us. So our time to remediation has gone down significantly.
Jefferson McMillan-Wilhoit
CEO at Flourish & Thrive LabsOnce the audit begins, a built-in portal gives teams a dedicated place to manage requests from their independent auditor and keep their audit moving without rebuilding the same evidence package in a separate system.
Continuously demonstrate compliance post-audit
The next body of work is turning compliance into customer-facing trust. Prospects want proof before they sign a contract, and sales teams need a faster way to move through security review without routing every request through GRC.
GRC teams can use Trust Centers to publish approved compliance documentation and give prospects a clear, controlled way to understand their security posture. When lengthy security questionnaires come in from prospective customers, AI-assisted answer banks help teams respond quickly, using approved context from the compliance program they already maintain.
Instead of reacting to every new customer request, teams can complete documentation once and reuse it across sales cycles, compounding time savings with each new deal.
Context is king
When paired with Rippling's first-party HR and IT products, Automated Compliance turns live operational data into audit-ready evidence and unlocks the full scope of AI-powered remediation.
Most compliance products do a good job of tracking all the work that needs doing, but those tools can't do the work themselves. That leaves GRC teams stuck filling in all the coordination gaps: figuring out where the evidence lives, finding who owns the system that needs fixing, then following up to confirm that fix actually happens, and finally sharing the proof with an auditor.
Furthermore, staying compliant as your company changes — as people join, move, or leave — is where a lot of those same point solutions struggle to keep up. Rippling handles those changes automatically, so evidence tied to employee data, access, devices, and training stays current.
By moving compliance directly into your company's system of record, Rippling helps you stop treating audits as fire drills and start treating them as a byproduct of how your company already operates.
“It's been such a headache to do compliance with disconnected systems. And now that everything is connected… I know what I'm looking at. I know what needs to get done because it's right there in front of me.
Jefferson McMillan-Wilhoit
CEO at Flourish & Thrive LabsGet started
As the saying goes, context is king. It's true of compliance, it's true of AI, and it's doubly true where those two meet in Rippling.
Learn more about Automated Compliance here.
And book a demo to see what continuous compliance can look like here.
DISCLAIMER
Rippling and its affiliates do not provide tax, accounting, or legal advice. This material has been prepared for informational purposes only, and is not intended to provide or be relied on for tax, accounting, or legal advice. You should consult your own tax, accounting, and legal advisors before engaging in any related activities or transactions.
Original source - Sep 23, 2026
- Date parsed from source:Sep 23, 2026
- First seen by Releasebot:Sep 23, 2026
Give every employee AI that has the context to be useful
Rippling introduces new Rippling AI capabilities with plugins, skills, and automations that add role-aware context, reusable prompts, and governed workflow automation across connected business systems and company permissions.
What we’re launching
We’re introducing new capabilities in Rippling AI: plugins, skills, and automations*. Together, they help employees use AI with tailored context about their role, team, and policies, turn proven instructions into reusable prompts, and automate recurring work. They’re all governed by the policies and permissions already in Rippling.
General-purpose AI tools are powerful. But at work, AI is only useful when it understands the context around the task: who is doing the work, where they sit in the org, what systems they work in, who they work with, and what information they’re allowed to access. Without that context built-in to their AI tooling, employees are left with the hassle of copying data from other systems into their prompts, figuring out which MCPs to connect, and unknowingly rebuilding workflows their colleagues have already created.
The context that makes AI powerful varies by person and changes constantly. A manager may need access to their team’s staffing, performance, or approval data, but an individual contributor shouldn’t see the same information. What's useful for HR may not be relevant or appropriate for Finance. And as employees join, change roles, or leave, access and workflows need to change with them.
Rippling AI brings those pieces together. Plugins connect approved third-party business systems, skills package repeatable instructions, and automations* run AI prompts under the right conditions and permissions.
Plugins
Plugins connect Rippling AI to third-party MCPs, giving employees a way to complete work across their tech stack from within Rippling. AI becomes more powerful because it can access data and take actions across the business systems employees already use. For example, an HR manager preparing for performance calibration can use Rippling AI to identify the right managers to include, check Google Calendar for their availability and send invites, and draft emails in Gmail – all from Rippling.
Combined with Rippling’s MCP Gateway, companies can control which business systems each employee can connect to and what actions they’re allowed to take. That means employees can use AI with context around their role, team, and work, without exposing data they shouldn’t see or forcing companies to manage a separate permission layer.
Skills
Skills are reusable instructions for Rippling AI to package and share best practices. Written in natural language, they describe how work should get done, including rules to follow, files to reference, systems to check, approved plugin actions, and the format the output should follow. For example, managers and recruiters can use an Offer Deck skill to create compelling offers for their top candidates, incorporating information about their roles, teams, feedback themes, and more.
Skills can be shared with employees based on role, team, reporting line, or other workforce attributes. As employees change roles or teams, access will adjust automatically. Skills can also be automatically enabled for all or a subset of employees, so Rippling AI follows company-approved processes every time.
Automations
Automations* let teams prompt Rippling AI on a recurring basis, without manual prompts. Like traditional workflows, automations can run on a schedule, when Rippling data changes, or when an event in Rippling occurs. They can also be triggered by an email or Slack message, and when events occur in third party systems.
In Rippling AI, employees can describe processes they want to automate using natural language, and it will generate the workflows with the steps, prompts, and triggers needed. Automations are governed by Rippling permissions, so employees will only access the data and actions they’re allowed to use. For example, executives can create an automation to monitor key Slack channels and flag any issues that need their attention.
How it works in practice
Consider a frontline manager preparing for the week ahead: the manager needs to know what could disrupt operations before it becomes a problem. That work usually entails checking multiple systems to reconcile workers’ hourly schedules, staffing changes, time off, training status and deadlines, access issues, timecard exceptions, and pending approvals.
With Rippling AI, that weekly brief can be generated automatically.
Before the week starts, an automation runs a company-approved skill for frontline planning. Rippling AI starts with the workforce context already in Rippling, then uses plugins to pull in additional context from connected systems like Outlook, Google Calendar, Slack, Teams, Atlassian, and other tools employees use every day. Because it is built on Rippling’s workforce context, it understands which employees report to the manager, which locations or teams they oversee, and what information the manager is allowed to see.
The brief is delivered to the manager in Slack every Monday morning, with the issues most likely to disrupt the week: an uncovered shift, a new employee missing required training before their shift, a timecard exception that needs approval, or an equipment issue that could keep someone from starting work on time. Rippling AI also recommends next steps and identifies owners. The manager starts the week with a prioritized plan, instead of searching across systems or getting blindsided by escalations throughout the week.
Built on Rippling’s workforce context
Rippling’s advantage is the workforce context behind these capabilities: employee identity, team, manager, permissions, and policies. That context makes Rippling AI more useful because it understands the business around every request. It also makes AI safer to scale because access follows the employee as the organization changes.
A frontline manager can get a week-ahead brief with updates about their team, not every team or their team from last quarter. Employees can use a performance review coach with the right guidance for their specific roles. A support manager can investigate a low CSAT score with approved customer and team context.
The companies that get the most from AI won’t be the ones with the most one-off prompts. They’ll be the ones that turn useful AI work into governed, reusable workflows that stay current as the business changes.
Rippling AI is built for that shift.
See it in action.
- Join the waitlist
DISCLAIMER
Rippling and its affiliates do not provide tax, accounting, or legal advice. This material has been prepared for informational purposes only, and is not intended to provide or be relied on for tax, accounting, or legal advice. You should consult your own tax, accounting, and legal advisors before engaging in any related activities or transactions.
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- Sep 22, 2026
- Date parsed from source:Sep 22, 2026
- First seen by Releasebot:Sep 22, 2026
Ignite AI pay and time agents help close payroll with fewer surprises
Paylocity adds AI-powered payroll and time agents that flag data anomalies, explain issues, and guide fixes before payroll submission. The new tools help validate employee data, correct time issues, analyze payroll variances, and give admins a central hub to manage AI access and activity.
New agents save time and increase accuracy across payroll and time processes — proactively resolving data anomalies, explaining why they happened, and showing you where to act prior to payroll submission.
There’s no room for data errors across payroll and time, because even small ones have ripple effects that impact downstream processes and create compliance risks. Chasing issues like missing direct deposit accounts or unresolved time corrections add up as you hunt for owners and make corrections, creating stress in the hours leading up to payroll submission.
Our payroll and time agents work together to make these business-critical processes run like clockwork. They proactively scan for data problems, including missing employee information, timecard errors, and payroll anomalies — then help automate resolution before they escalate into bigger problems. You can close every payroll with fewer headaches and surprises while staying in control of the process.
42% of leaders rank AI that flags payroll irregularities and recommends corrections as their top priority — making it the most in-demand capability.
- March 2026 Qualtrics Study
Proactively resolve gaps in employee data
Gaining higher efficiency and accuracy starts with employee data because it underpins almost every process. The Data Inspection Agent scans it proactively and flags anything that needs your review, so you can address issues fast before a downstream process exposes them.
- Comprehensive data validation: Evaluates employee data against more than 100 checks to identify missing or potentially inaccurate information.
- Clear alerts and summaries: Quickly see anything that requires attention, like invalid direct deposit accounts or missing local tax information.
- Recommended next steps: You can address straightforward issues in a few clicks or easily go directly to the source to resolve more complex ones.
“There's no room for error in payroll. The new agents in Paylocity’s platform help with things like analyzing payroll and automatically correcting time, so we stay more proactive and keep the team ahead of any potential issues.”
Amy Gunn, Utah MammothFind and correct time issues before they impact payroll
Manually checking timecards and managing requests is rarely a manager’s top priority, but unresolved issues can create a fire drill before payroll submission. The Time Correction Agent continuously monitors time data, so things like missed punches, break violations, and time corrections are resolved fast and proactively.
- Continuous data monitoring: Checks for missed punches, early clock-ins, late clock-outs, location or device issues, missed meals, and unauthorized overtime.
- Alerts in context: Supervisors get prompted wherever they manage time, including on the Home screen and from the mobile app.
- Policy-informed recommendations: Suggested resolutions reflect relevant company and workforce policies.
- Easy resolution: Supervisors can approve or deny requests, adjust punches, notify employees, correct cost centers, and make bulk edits — all in one flow.
See subtle payroll shifts and understand what they mean
Big payroll variances are easy to spot, but small ones can still slip through. Rather than spending hours reviewing every change manually, the Payroll Analysis Agent helps you understand any shifts prior to submission and focus your time where it’s most needed.
- Comparison against historical data: See any variances compared to previous runs, highlighting trends or changes that warrant a closer look.
- Clear summary of trends: Understand what changed and why it matters in plain language so you can focus your review.
- Analysis of each payroll component: Dive into detailed analysis of earnings, deductions, taxes, and net pay with granular insight you can act on.
“I’m so impressed with what I’m seeing from Paylocity. My team’s lives will literally be changed with the simplifications and weight it will take off their shoulders.”
Victoria Crowther, Win BrandsManage AI confidently at every step of the process
In areas like payroll and time where things just need to be right, it’s critical to have visibility and control over the role AI plays. The Ignite AI Hub is a dashboard that gives you one place to manage these agents alongside the other AI embedded across Paylocity.
- See the number of issues they’ve surfaced over time and break them down by type to better understand trends.
- Understand how teams are adopting them and the number of AI corrections applied by users.
- Control which agents are active and who has access.
- Identify additional processes where our agents could support your team, including recruiting or doing data analysis.
Get started with Ignite AI
Don’t leave data accuracy to chance or spend hours hunting for issues manually. Our payroll and time agents do it for you and pull you in where you’re needed, so you can focus on strategy and your people. Request a demo to see our agents in action and how we’ve embedded them across our ONE platform for HR, Finance, and IT.
If you’re a client, reach out to your Paylocity team to learn more about these new capabilities and how to get access.
Original source - Sep 16, 2026
- Date parsed from source:Sep 16, 2026
- First seen by Releasebot:Sep 17, 2026
What’s New Blog | August 2026
Paylocity adds Paylocity Retirement, guided benefits renewals, a Home calendar widget, and finance updates for expense card syncing, smarter categorization, and streamlined purchase request approvals.
Explore new and enhanced ways to support employees, simplify everyday tasks, and stay connected across benefits, retirement, expenses, and Home.
This month’s releases spotlight what’s next for a more connected employee experience — including the introduction of Paylocity Retirement and meaningful enhancements that make benefits, expenses, purchasing, and everyday scheduling easier to manage in one place.
Benefits
Connect payroll and retirement in one employee experience
Retirement planning should feel connected to the rest of the employee experience. Paylocity Retirement gives employees access to key retirement details directly within Paylocity, while helping employers bring payroll and retirement together in one streamlined solution. By reducing fragmented workflows, organizations can offer a unified experience for managing an important part of employees’ financial well-being.
Take the friction out of benefits renewals
Benefits renewals often require coordination across clients, brokers, and support teams. An optimized guided setup experience brings the renewal process into Paylocity so clients and brokers can prepare and renew plans without the back-and-forth. The in-platform workflow creates a clearer, self-service path for getting ready for the upcoming enrollment period.
Home
See shifts, time off, and company events at a glance
Employees can find company dates and schedule information all in one place. The calendar widget in Home brings together scheduled shifts, time off, company events, and anniversaries in a consolidated view.
Paylocity for Finance
Make expense reporting faster with connected cards and smarter categorization
Expense reporting is easier when transactions, receipts, and coding work together. Employees can connect a personal credit card to import eligible transactions and match receipts while creating expense reports. For physical card activity, configured rules or AI assistance can help categorize transactions, reducing repetitive data entry and supporting more consistent expense information for employees and finance teams.
Simplify purchase requests from approval to management
An updated purchase request approvals experience gives teams clarity and control over purchasing workflows. With an intuitive setup and streamlined request list, users can quickly identify what needs attention and keep approvals moving.
If you're already a Paylocity client, visit the Product Training Catalog or PEAK for more details.
Benefits:
Benefits Guided Setup
Benefits:
Paylocity Retirement
Home:
Calendar Widget
Paylocity for Finance
Want to learn more about these releases? Navigate to the Help Menu>What's New to find what is new for each product area!
Original source - Sep 16, 2026
- Date parsed from source:Sep 16, 2026
- First seen by Releasebot:Sep 17, 2026
Your Help Desk Queue Doesn't Need More Headcount, It Needs an AI Help Desk
Rippling introduces Helpdesk, an AI help desk that resolves repetitive IT requests before they become tickets. It uses employee, device, and app context to handle access, password resets, device replacements, and company-specific how-to questions with admin-controlled policies and audit logs.
If you run IT at a growing company, you already know the shape of the problem: password resets, access requests, "my computer is slow," and "the Wi-Fi is broken again," on repeat, every single day. An AI help desk is built specifically to close that gap, resolving the routine, repeatable share of requests using context an IT admin would otherwise have to look up by hand.
In a recent Rippling webinar, IT community manager Carter Francis sat down with Todd Horner (a 20-year IT veteran and former one-person IT team) and Matt Lombardo (a 20-year MSP veteran) to talk about why that queue keeps growing, and to dig deeper into Rippling Helpdesk, the agentic IT support product that resolves requests before they ever become tickets.
Here's what they covered.
The same four or five problems, every single week
Ask any IT admin what fills their queue and you'll hear the same list: password resets, access requests, device issues, and how-to questions that are already answered in a wiki nobody reads. Todd put it bluntly: "at companies around 500 employees, it wasn't unusual to have four people working help desk tickets eight hours a day, and 40-50% of the time, you already know the answer the moment you read the subject line."
Matt's MSP experience backed this up from a different angle. Tier-one tickets, he said, are "pretty much deterministic and repetitive," as the answer is often known before the ticket is even opened. The tickets aren't complex, just repetitive and high-volume.
Todd's estimate lines up with industry research: Gartner-cited figures put password resets alone at up to 50% of total help desk ticket volume. This isn't a problem unique to any one company or team: it's structural to how IT support has worked for years.
That repetition has real costs beyond annoyance. Todd noted that heavy repetitive-ticket load stunts IT professionals from growing into more interesting, higher-skill work. And as Matt pointed out, the constant handling of the same categories, without ever solving why they keep coming in, is exactly what an MSP model is built to scale, not resolve.
The real cost of the status quo
The repetition isn't just a productivity drag; it has a dollar figure attached. Forrester has estimated that a single password reset costs an organization around $70 once you factor in help desk labor, and that large enterprises can spend well over $5 million a year on password resets alone. Multiply that across access requests, device issues, and how-to questions, and the same math applies to most of what fills an IT queue: a small number of ticket categories, repeated at scale, quietly becoming one of the more expensive line items in IT operations.
The limits of your current ticketing system
Todd was direct about the limits of tools like Jira Service Desk, Zendesk, and Freshdesk: they're "glorified to-do lists." They help make sure things get tracked and closed out, but they very rarely take action or auto-resolve anything themselves. And if you've built custom automations or approval chains on top of one of these tools, you already know the tax: every time something changes, you're rebuilding it, and if the person who built it leaves, the next person is starting from scratch.
Meanwhile, the usual answer to a growing queue (hiring more IT headcount) doesn't scale the way it used to. As Todd said, "more people equals more tickets," and IT teams are increasingly asked to do more with less. Outsourcing to an MSP isn't a full answer either: Matt was clear that MSPs are built for coverage and volume, not resolution. They still have to touch every ticket, track SLAs, and bill for time, even when the outcome was never in question.
What an AI help desk for IT actually looks like in practice
This is the gap Rippling Helpdesk is built to close: instead of helping you manage a growing queue, it resolves requests before they ever reach it. Because Rippling already holds employee identity, device data, and app integrations, Helpdesk can draw on that context directly:
- Granting and revoking access
- Verifying device eligibility for a replacement
- Answering how-to questions specific to your company rather than pulling generic troubleshooting advice from the internet.
To get a deeper dive on how Rippling Helpdesk works, check out this article that walks through a good example of this in action: an employee reporting a slow laptop, where Helpdesk checks the device's age and memory usage in Rippling MDM before deciding whether to guide a fix or kick off a replacement.
Helpdesk resolves four categories that Todd says make up 50% or more of the average IT queue:
- Access requests
- Password resets
- Device replacement requests
- How-to questions
Rather than functioning as a ticketing system, it's built to deflect tickets and resolve issues before they ever become IT's problem.
Employees interact with it the same way they already submit tickets, inside Rippling, Slack, or Teams. No new tools or new habits to build.
Guardrails: policies, skills, and a "solve once" philosophy
The most common question about AI taking action on IT systems is some version of "how do I stay in control?" The webinar addressed this directly, and it's worth being specific about how:
It's fully admin-controlled: IT sets the policies and instructions, allowing you to automate a step fully or require approval at every point, eventually fully-automating approvals once you trust the pattern.
Request policies define the steps before access is granted: Justification requirements, time limits, and specific approvers (like having the RevOps owner approve Salesforce access) can all be configured per app, and the same logic extends to device management actions.
Skills handle the bespoke stuff: For issues that are specific to your company, such as an old printer with a weird fix or VPN quirks, you give the AI explicit instructions once. From then on, it applies them automatically instead of guessing or pulling generic advice from the internet.
- Todd called this the "solve once" philosophy: solve a problem one time, and you've effectively solved it forever.
Everything is logged: Every AI-resolved action shows who asked, when, and which policy allowed it, visible in the product and downloadable as a CSV for audits.
As Matt framed it, "IT admins are less worried about automation itself than about black-box decisions with no audit trail." The policies, approval steps, and logging are the direct answer to that concern.
The upside: time back, not just tickets closed
Todd's framing for the impact was simple: automating away 35-55% of the queue can give IT professionals meaningful time back in their day, time that goes toward the harder troubleshooting and higher-impact projects that actually grow their skills and move the business forward, rather than the same repetitive tickets on loop.
For teams running lean, or for the one-person IT shops Todd used to be part of, that's a meaningful shift: the difference between spending a career doing password resets and actually building something. Set against Forrester's $70-per-reset estimate, resolving even a fraction of that volume automatically isn't just a time savings: it's a direct line item reduction.
Want to see how an AI help desk would handle your queue? Read the launch announcement, request a demo, or reach out to your Rippling contact.
DISCLAIMER
Rippling and its affiliates do not provide tax, accounting, or legal advice. This material has been prepared for informational purposes only, and is not intended to provide or be relied on for tax, accounting, or legal advice. You should consult your own tax, accounting, and legal advisors before engaging in any related activities or transactions.
Original source - Sep 10, 2026
- Date parsed from source:Sep 10, 2026
- First seen by Releasebot:Sep 10, 2026
Open enrollment, without the fire drill
Rippling introduces a revamped open enrollment workflow with Quick Renewals, Benefits Decision Support, and Open Enrollment Management. The update helps admins and brokers move faster from plan renewal to enrollment, while giving employees guided plan comparisons, recommendations, and enrollment support.
Open enrollment compresses a year's worth of planning and preparation into a few deadline-driven weeks.
As companies head into open enrollment season, benefits admins and brokers are racing to finalize plans and pricing, then preparing employee-facing educational materials, like webinar slides and company-branded benefits guides. Once open enrollment starts, they're playing whack-a-mole with employee questions about their benefits, monitoring elections and following up with everyone who hasn't enrolled. All the while, the work is spread out across carriers' plan documents, rate sheets, presentations, reports, Slack and email.
Today, we're reintroducing our open enrollment in Rippling with: Quick Renewals, Benefits Decision Support, and Open Enrollment Management.
Together, they give benefits admins and brokers a faster path from plan renewal to completed enrollments, with fewer follow-ups for benefits teams and less guesswork for employees.
Start open enrollment faster with Quick Renewals
70% of benefits renewals in Rippling keep the same plans from one year to the next. In these renewals, the only plan change is the price.
Quick Renewals lets administrators and brokers focus on exactly that.
When a company keeps its existing plans, the benefits admin or the broker can carry those plans into the new year, update pricing, and set the new open enrollment window. Rippling brings forward the remaining plan information, shortening the path to a completed renewal.
For brokers supporting several clients through open enrollment, this means less time repeating last year's setup and more time focused on benefits strategy and employee education.
Give employees personalized guidance as they enroll in benefits
Once open enrollment starts, that's when the Slack pings, emails, and office hours get booked up with questions.
What's the difference between these plans? Which plan is best for me and my family? What's the difference between an HSA and a FSA?
Benefits Decision Support helps employees answer those questions as they are going through benefits enrollment within Rippling.
Employees can compare plans side by side and see the cost of each available option. They can also model common scenarios, like pregnancy or a minor accident, to see how those costs would change under each plan.
With Rippling AI, employees can also answer a few questions and get a personalized recommendation for their plan options. Rippling matches their answers against their available plans to show which one fits best.
For benefits admins and brokers, this creates a better first line of support. Employees can resolve more of their routine plan and cost questions as they enroll, leaving benefits teams with more time to focus on exceptions and the questions that need their expertise.
Catch enrollment gaps before the deadline does
Setting up the plan is just the start. Benefits teams still need to draft the materials to explain each plan, respond to questions in Slack, track completion, and ensure that employees complete their benefits elections.
Open Enrollment Management handles most of that work.
Using the plans configured in Rippling, it can draft company-branded educational materials, such as benefits guides and FAQs. When given access to supported channels such as Slack and email, Rippling AI can answer routine benefits questions from employees, bringing the benefits admin into questions that require additional review. As open enrollment begins, Rippling monitors live enrollment status and follows up over Slack and email with employees who need to complete their elections, and sends regular progress updates to admins.
Each of these capabilities remain under the admin's control: they approve the educational content, set up the Slack channels where Rippling AI can reply to benefits questions, and set the reminder schedule for employees. This allows Benefits teams to handle escalations and maintain a clear view of completion, while Rippling handles the execution.
One connected workflow from renewal through enrollment
Rippling's advantage is simple: the plan, pricing, eligibility, employee, and enrollment data that open enrollment depends on is already in one system. That lets admins and brokers move from finalized plans to completed benefits elections without rebuilding the same context across different tools, while employees get guidance based on the benefits actually available to them.
The result is less repetitive work for benefits teams, fewer follow-ups, and more confident decisions for employees.
Availability
Quick Renewals is live for eligible Benefits Administration customers, and Benefits Decision Support is available as a beta. Open Enrollment Management will launch in October, and customers can join the waitlist today.
DISCLAIMER
Rippling and its affiliates do not provide tax, accounting, or legal advice. This material has been prepared for informational purposes only, and is not intended to provide or be relied on for tax, accounting, or legal advice. You should consult your own tax, accounting, and legal advisors before engaging in any related activities or transactions.
Original source - Sep 9, 2026
- Date parsed from source:Sep 9, 2026
- First seen by Releasebot:Sep 17, 2026
Turn data analysis into a conversation with Ignite AI
Paylocity introduces the Answer & Insight Agent in its AI Assistant, bringing real-time natural-language data analysis, clear summaries, charts, source links, and action-taking from a single conversation. It also adds the Ignite AI Hub for AI oversight and access control.
The new Answer & Insight Agent allows you to analyze data, explore trends, and make informed decisions fast, all within the AI Assistant.
Answering everyday questions usually requires running reports, exporting spreadsheets, or waiting on someone else to look through them. When you add up all the small moments spent sifting through data, it’s one of the biggest drains on your time — and the one-off requests just keep piling up.
The Answer & Insight Agent allows you to ask just about any question and get answers in real time, pulling from your company data across the platform. You get instant insights without the overhead of reporting, writing SQL queries, or knowing the right way to analyze data. Just ask your question in natural language, and our agent gets you an answer, fast.
“What I'm seeing the most value in is the ability to analyze data with a simple conversation. Getting ready for board meetings, I used to dig through data for specific answers. Now I just say, 'How many vacancies do we have open in X department?' and get an answer in seconds.”
Kristen Oberlin, The Lawrenceville SchoolAsk just about any question and get a clear answer
The agent can help with anything, from looking up a data point you need going into a meeting to doing detailed analysis across teams. Some examples include:
- Performance: “What trends are we seeing in performance across the team?” and "Who’s received performance feedback but hasn't been followed up with?"
- Compensation: "Are any employees outside their expected pay band?" and “What’s the average salary and distribution for customer support roles?”
- Time & Labor: "What does overtime look like in hours and cost by role?" and “What teams have the highest overtime and how is it trending?”
- Recruiting: "How long does it typically take to fill product design roles?" and “What’s the budget impact of hiring for the role earlier?”
Go beyond raw data with answers you can understand and act on.
Get clear, organized summaries and comparisons in plain language instead of a spreadsheet to sort through. Every answer includes a link to source data if you need to dig deeper.
See important patterns called out for you.
Trends and changes that might otherwise go unnoticed are front and center, helping you spot issues and opportunities faster.
Visualize data with charts and graphs.
The agent finds the right way to present data, so you can understand what’s going on and get context to make effective decisions.
Go from chat to action.
Take action without leaving your flow, like assigning tasks, changing an employee’s role and compensation, or initiating lifecycle events like on- or offboarding.
“Instead of running reports on things like salary trends, I can just ask, 'Tell me the average pay of our clerical staff,' and get a detailed chart without digging through the data. When a manager comes in with a quick question or someone asks in a meeting, I get an answer right away.”
Genevieve Gonnigan, Lincoln Park ZooKeep the conversation going
Our agent isn't built around a fixed set of questions, so one question can lead to another.
Drive from broad to specific questions to get exactly what you need.
Start with "Where are we seeing pockets of overtime?" Then narrow in: "Which roles or teams have the highest overtime usage?" And go one level deeper: "Are any individuals disproportionately contributing to it?"Return to previous threads through chat history.
Conversations are saved, so you can pick up an analysis from last week or keep building on a previous thread without retracing your steps.
Have confidence with transparency and control over your data
You can trust the Answer & Insight Agent because it’s built within our proven platform and prioritizes transparency at every step — from citing its sources to measuring impact across your organization.
Each response includes clear context and links back to source data, so you can verify the output, dig deeper, and take action confidently.
It respects existing roles and access, so people only see what they're allowed to.
You control how AI works across your business.
The Ignite AI Hub gives you a single dashboard to see what AI is doing and manage it with confidence. Measure its impact like how many questions it’s answered, track adoption across teams, and control who has access — all in one place.
“The piece that stood out to me is the new Ignite AI Hub. It gives us the ability to control the agents, turn them on and off, and see what they're doing and the actual value they're creating for us in time savings and task automation.”
Robyn Klawitter, Mountainside FitnessGet started with Ignite AI
We’re building AI into Paylocity to give you time back to focus on people and your strategy. The Answer & Insight agent is one of the best examples of that, getting you out of hunting for data and building reports and back into the driver’s seat where you can have greater impact.
To see everything this agent and our entire platform can do for your business, request a demo.
If you're a client, reach out to your Paylocity team to learn more about these new capabilities and how to get access.
Original source - Sep 9, 2026
- Date parsed from source:Sep 9, 2026
- First seen by Releasebot:Sep 10, 2026
Turn data analysis into a conversation with Ignite AI
Paylocity introduces the Answer & Insight Agent in its AI Assistant, giving users real-time answers, trend analysis, plain-language summaries, charts, and action steps from company data. It also adds the Ignite AI Hub for visibility, access controls, and impact tracking.
The new Answer & Insight Agent allows you to analyze data, explore trends, and make informed decisions fast, all within the AI Assistant.
Answering everyday questions usually requires running reports, exporting spreadsheets, or waiting on someone else to look through them. When you add up all the small moments spent sifting through data, it’s one of the biggest drains on your time — and the one-off requests just keep piling up.
The Answer & Insight Agent allows you to ask just about any question and get answers in real time, pulling from your company data across the platform. You get instant insights without the overhead of reporting, writing SQL queries, or knowing the right way to analyze data. Just ask your question in natural language, and our agent gets you an answer, fast.
“What I'm seeing the most value in is the ability to analyze data with a simple conversation. Getting ready for board meetings, I used to dig through data for specific answers. Now I just say, 'How many vacancies do we have open in X department?' and get an answer in seconds.”
Kristen Oberlin, The Lawrenceville SchoolAsk just about any question and get a clear answer
The agent can help with anything, from looking up a data point you need going into a meeting to doing detailed analysis across teams. Some examples include:
Performance:
“What trends are we seeing in performance across the team?” and "Who’s received performance feedback but hasn't been followed up with?"
Compensation:
"Are any employees outside their expected pay band?" and “What’s the average salary and distribution for customer support roles?”
Time & Labor:
"What does overtime look like in hours and cost by role?" and “What teams have the highest overtime and how is it trending?”
Recruiting:
"How long does it typically take to fill product design roles?" and “What’s the budget impact of hiring for the role earlier?”
Go beyond raw data with answers you can understand and act on.
Get clear, organized summaries and comparisons in plain language instead of a spreadsheet to sort through. Every answer includes a link to source data if you need to dig deeper.
See important patterns called out for you.
Trends and changes that might otherwise go unnoticed are front and center, helping you spot issues and opportunities faster.
Visualize data with charts and graphs.
The agent finds the right way to present data, so you can understand what’s going on and get context to make effective decisions.
Go from chat to action.
Take action without leaving your flow, like assigning tasks, changing an employee’s role and compensation, or initiating lifecycle events like on- or offboarding.
“Instead of running reports on things like salary trends, I can just ask, 'Tell me the average pay of our clerical staff,' and get a detailed chart without digging through the data. When a manager comes in with a quick question or someone asks in a meeting, I get an answer right away.”
Genevieve Gonnigan, Lincoln Park ZooKeep the conversation going
Our agent isn't built around a fixed set of questions, so one question can lead to another.
Drive from broad to specific questions to get exactly what you need.
Start with "Where are we seeing pockets of overtime?" Then narrow in: "Which roles or teams have the highest overtime usage?" And go one level deeper: "Are any individuals disproportionately contributing to it?"Return to previous threads through chat history.
Conversations are saved, so you can pick up an analysis from last week or keep building on a previous thread without retracing your steps.
Have confidence with transparency and control over your data
You can trust the Answer & Insight Agent because it’s built within our proven platform and prioritizes transparency at every step — from citing its sources to measuring impact across your organization.
Each response includes clear context and links back to source data, so you can verify the output, dig deeper, and take action confidently.
It respects existing roles and access, so people only see what they're allowed to.
You control how AI works across your business.
The Ignite AI Hub gives you a single dashboard to see what AI is doing and manage it with confidence. Measure its impact like how many questions it’s answered, track adoption across teams, and control who has access — all in one place.
“The piece that stood out to me is the new Ignite AI Hub. It gives us the ability to control the agents, turn them on and off, and see what they're doing and the actual value they're creating for us in time savings and task automation.”
Robyn Klawitter, Mountainside FitnessGet started with Ignite AI
We’re building AI into Paylocity to give you time back to focus on people and your strategy. The Answer & Insight agent is one of the best examples of that, getting you out of hunting for data and building reports and back into the driver’s seat where you can have greater impact.
To see everything this agent and our entire platform can do for your business, request a demo.
If you're a client, reach out to your Paylocity team to learn more about these new capabilities and how to get access.
Original source - Sep 3, 2026
- Date parsed from source:Sep 3, 2026
- First seen by Releasebot:Sep 17, 2026
How Ignite AI Helps Recruiters Focus on the Right People, Faster
Paylocity introduces new recruiting agents in Ignite AI to speed candidate screening with fit recommendations and resume summaries, while giving hiring teams transparent controls, compliance guardrails, and centralized oversight in the Ignite AI Hub.
New recruiting agents automate repetitive processes, freeing you to focus on engaging candidates and partnering with hiring managers.
Hiring teams today aren’t short on candidates. They’re short on time. Every open role brings a wave of applications and resumes, and teams in high-volume environments need to move quickly without sacrificing quality.
New recruiting agents in Paylocity address these challenges by helping teams prioritize candidates who are the best match for open roles and quickly understand their qualifications. They’re embedded within existing recruiting processes, so you gain efficiency right away and stay in your flow. By making screening faster and easier, you get time back to engage candidates while staying in control of every hiring decision.
52% of decision makers are actively looking for new AI solutions in areas like recruiting to stay innovative and efficient.
- March 2026 Qualtrics Study
Narrow in on high-quality candidates, fast
With hundreds of candidates applying for open roles, working through all of them takes time many teams don’t have. The Candidate Fit Agent supports both efficiency and quality by surfacing applicants for review based on the most important criteria for the role.
Set search criteria based on role requirements.
Recommended criteria:
We give you a start by suggesting skills, certifications, education, and more to look for based on the job description.
Customize your search:
You can tune recommended criteria or create your own to home in on the top candidates.
Compliance guardrails:
Alerts flag any criteria that are vague or could potentially create compliance risk so you can adjust them proactively.
Review fit along with transparent rationale behind each assessment.
Prioritized candidate list:
Applicants that match the most criteria are surfaced first along with a summary of what’s driving their fit strength.
You stay in control:
While the agent makes suggestions, you own the decisions. We provide transparency into what’s driving every fit assessment, so you have the context you need.
“As a seasonal business, we do a lot of bulk recruiting — so as we’re ramping up, we get hundreds of applications a week. Having Ignite AI help accelerate the review and look for specific criteria that we are looking for will save us so much time.”
Ryan Zimmerman, POLYWOODUnderstand qualifications at a glance
Resumes vary widely in format, length, and level of detail, creating headaches as you search for qualifying information on your top candidates. The Resume Summary Agent does the legwork by turning resumes into short summaries to triage candidates before doing a deeper review.
Get summaries that are structured and easy to understand.
Qualification insights:
The agent scans resumes and presents key information in a clear, predictable format — including skills, work history, and education.
Critical details up front:
By making it easy to understand basic fit, you can focus energy on recognizing transferable skills and evaluating candidates in the context of the role.
Gain confidence with granular visibility and control
Being able to see where AI is active and what it’s doing is paramount in sensitive processes like recruiting. Our Ignite AI Hub is a centralized dashboard for you to easily manage recruiting agents alongside all the other AI embedded across Paylocity.
See adoption and impact like the number of candidate fit assessments generated and resumes summarized.
Turn agents on and off so you can roll out automation based on your needs and comfort level.
Configure each agent individually, including who has access to use it, whether candidates are informed about how AI is used in the process, and if they have the option to opt-out.
As part of our commitment to responsible AI, our recruiting agents went through an independent audit that found no evidence of bias in the recommendations and insights they provide. The agents do not remove applicants from view or make hiring decisions — you and your team stay in control of decisions and can assess every candidate before deciding which to engage.
Get started with Ignite AI
Recruiting comes down to making the right human decisions for your business and for candidates. Our recruiting agents handle the manual work so you can invest more of your time into finding the right people.
Request a demo to see everything Ignite AI can do, and why our ONE platform for HR, Finance, and IT stands apart.
If you’re a client, reach out to your Paylocity team to learn more about these new capabilities and how to get access.
Original source - Sep 3, 2026
- Date parsed from source:Sep 3, 2026
- First seen by Releasebot:Sep 3, 2026
How Ignite AI Helps Recruiters Focus on the Right People, Faster
Paylocity adds Ignite AI recruiting agents that speed up candidate screening with fit prioritization and resume summaries. The new tools help hiring teams surface strong matches faster, add compliance guardrails, and manage AI settings from a central hub while keeping decisions in human hands.
New recruiting agents automate repetitive processes, freeing you to focus on engaging candidates and partnering with hiring managers.
Hiring teams today aren’t short on candidates. They’re short on time. Every open role brings a wave of applications and resumes, and teams in high-volume environments need to move quickly without sacrificing quality.
New recruiting agents in Paylocity address these challenges by helping teams prioritize candidates who are the best match for open roles and quickly understand their qualifications. They’re embedded within existing recruiting processes, so you gain efficiency right away and stay in your flow. By making screening faster and easier, you get time back to engage candidates while staying in control of every hiring decision.
52% of decision makers are actively looking for new AI solutions in areas like recruiting to stay innovative and efficient.
- March 2026 Qualtrics Study
Narrow in on high-quality candidates, fast
With hundreds of candidates applying for open roles, working through all of them takes time many teams don’t have. The Candidate Fit Agent supports both efficiency and quality by surfacing applicants for review based on the most important criteria for the role.
Set search criteria based on role requirements.
Recommended criteria:
We give you a start by suggesting skills, certifications, education, and more to look for based on the job description.
Customize your search:
You can tune recommended criteria or create your own to home in on the top candidates.
Compliance guardrails:
Alerts flag any criteria that are vague or could potentially create compliance risk so you can adjust them proactively.
Review fit along with transparent rationale behind each assessment.
Prioritized candidate list:
Applicants that match the most criteria are surfaced first along with a summary of what’s driving their fit strength.
You stay in control:
While the agent makes suggestions, you own the decisions. We provide transparency into what’s driving every fit assessment, so you have the context you need.
“As a seasonal business, we do a lot of bulk recruiting — so as we’re ramping up, we get hundreds of applications a week. Having Ignite AI help accelerate the review and look for specific criteria that we are looking for will save us so much time.”
Ryan Zimmerman, POLYWOODUnderstand qualifications at a glance
Resumes vary widely in format, length, and level of detail, creating headaches as you search for qualifying information on your top candidates. The Resume Summary Agent does the legwork by turning resumes into short summaries to triage candidates before doing a deeper review.
Get summaries that are structured and easy to understand.
Qualification insights:
The agent scans resumes and presents key information in a clear, predictable format — including skills, work history, and education.
Critical details up front:
By making it easy to understand basic fit, you can focus energy on recognizing transferable skills and evaluating candidates in the context of the role.
Gain confidence with granular visibility and control
Being able to see where AI is active and what it’s doing is paramount in sensitive processes like recruiting. Our Ignite AI Hub is a centralized dashboard for you to easily manage recruiting agents alongside all the other AI embedded across Paylocity.
See adoption and impact like the number of candidate fit assessments generated and resumes summarized.
Turn agents on and off so you can roll out automation based on your needs and comfort level.
Configure each agent individually, including who has access to use it, whether candidates are informed about how AI is used in the process, and if they have the option to opt-out.
As part of our commitment to responsible AI, our recruiting agents went through an independent audit that found no evidence of bias in the recommendations and insights they provide. The agents do not remove applicants from view or make hiring decisions — you and your team stay in control of decisions and can assess every candidate before deciding which to engage.
Get started with Ignite AI
Recruiting comes down to making the right human decisions for your business and for candidates. Our recruiting agents handle the manual work so you can invest more of your time into finding the right people.
Request a demo to see everything Ignite AI can do, and why our ONE platform for HR, Finance, and IT stands apart.
If you’re a client, reach out to your Paylocity team to learn more about these new capabilities and how to get access.
Original source