AI agents
AI agents on your HR team. They prepare. You decide.
They watch for events, read your records, do the checks and draft the work. Then they stop and ask before pay, tax, people records or money change.
Exit coordinator
Trigger: Sara Khan’s last day set to Wed 25 Nov
- Read monthly gross from payroll
- Counted 6 days of encashable leave
- Checked IT assets: laptop and ID card still assigned
- Worked out the full and final settlement
- Drafted the relieving and experience letters
Sara Khan · last day Wed 25 Nov
- · Full and final settlement worked out
- · Laptop and ID card on the return list
- · Relieving letter drafted
Your AI team, right now
Illustrative status board
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Payroll anomaly check
Watching
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Onboarding coordinator
Working
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Exit coordinator
Waiting for you
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Receipt reader
Done
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Policy assistant
Watching
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Weekly brief
Working
How an agent works
Every agent follows the same five steps
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01
Trigger
Something happens: an offer is accepted, a claim arrives, month-end comes round.
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02
Read
The agent reads your records, policies and rules, with the same access as the role it works for.
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03
Prepare
It does the checks and the maths, and drafts the documents.
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04
Ask you
It shows you exactly what will change, and waits.
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05
Record
Your decision is applied. Important changes are written to an audit log: who did what, and when.
Meet the agents
One job each, and a clear limit
Pick an agent to see what sets it off, what it does, what it hands you, and what it will never do.
Trigger
October payroll calculated for 48 employees
What it does
- 1Read salaries, pay components and revisions
- 2Compared every payslip with September
- 3Checked PF, ESI, PT and TDS for each work state
- 4Found 1 person with no salary set
- 5Flagged an overtime amount twice the usual
You approve
Locking the run
Never
Lock or pay a payroll run.
October payroll · 48 employees
- 3 changes since September
- PF went up for 12 people with the new ₹25,000 ceiling
- 1 flag: overtime for Rahul Verma is twice his usual
Trigger
Arjun Mehta accepted the offer
What it does
- 1Picked the Design onboarding template
- 2Set due dates from the joining date, Mon 2 Nov
- 3Assigned tasks to Arjun, his manager and HR
- 4Drafted the laptop and email request for IT
- 5Chose a buddy from the same team
You approve
The plan, before it goes out
Never
Send anything to a new joiner without approval.
Arjun Mehta joins Mon 2 Nov
- Day-one plan with his manager and buddy
- 6 documents to collect, including PAN and UAN
- Laptop and email request for IT
Trigger
Sara Khan’s last day set to Wed 25 Nov
What it does
- 1Read monthly gross from payroll
- 2Counted 6 days of encashable leave
- 3Checked IT assets: laptop and ID card still assigned
- 4Worked out the full and final settlement
- 5Drafted the relieving and experience letters
You approve
The settlement
Never
Pay a settlement or revoke access on its own.
Work out the same figures yourself: Leave encashment calculator · Gratuity calculator
Sara Khan · last day Wed 25 Nov
- Full and final settlement worked out
- Laptop and ID card on the return list
- Relieving letter drafted
Trigger
Neha Iyer attached a receipt to a claim
What it does
- 1Read the merchant, date and amount
- 2Matched the category to Travel
- 3Checked the amount against the travel policy
- 4Converted at October’s rate
- 5Filled in the claim line
You approve
The claim
Never
Approve or pay a claim.
New claim from Neha Iyer
- Cab fare · ₹640 · Travel
- Date matches her client visit
- Within the travel policy limit
Trigger
An employee asked about carrying leave forward
What it does
- 1Found the Leave policy 2026
- 2Read the carry-over section
- 3Looked up the employee’s own balance
- 4Worked out what lapses on 31 Dec
- 5Answered with the source
You approve
Nothing. It answers, it never changes data
Never
Change any record. It only answers.
Can I carry unused leave into next year?
- Up to 10 days of paid leave carry over
- You have 12.5 left, so 2.5 lapse on 31 Dec
- Source: Leave policy 2026 · Carry-over
Trigger
Monday morning, week of 26 Oct
What it does
- 1Counted leave, joiners and leavers
- 2Listed approvals waiting more than 3 days
- 3Checked statutory due dates
- 4Summarised the week for HR and managers
- 5Sent the brief
You approve
Nothing. It only reports
Never
Act on what it finds. It only reports.
Week of 26 Oct
- 4 people on leave, 2 joiners, 1 leaver
- 7 approvals waiting, 2 of them for more than 3 days
- TDS for October is due on 7 Nov
Names, dates and figures are illustrative.
More agents
More agents that prepare the work
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Payroll pre-run check
Before a run exists, it looks at the month, reconciles attendance, leave and joiners, and explains pay changes. It never locks payroll.
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Attendance check
It offers employees a filled-in correction for a missed punch, which they send themselves.
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Joiner and leaver handovers
Each joiner or leaver opens one Help Desk case per team, with deadlines and one status view. For a leaver, it prepares final settlement drafts for HR to approve.
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Filing prep
Peoplo.ai prepares the statutory files and reminds HR of due dates. A person downloads and submits them.
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Policy gaps
Each week it groups Help Desk questions that had no answer and drafts the missing paragraph. HR edits and publishes it.
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Appraisal cycle runner
It moves date-driven phases, chases late reviewers and flags calibration outliers. A person finishes calibration and closes the cycle.
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Monthly HR summary and drafts
HR gets a monthly summary, and AI drafts employment letters and policies for HR to review.
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Custom agents
HR describes a job in plain words, and Kili builds it from a fixed set of checks. It starts switched off and a person turns it on. Custom agents can check and remind, nothing more.
Control and visibility
See what agents do, and decide what stays with a person
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An AI Agents hub
"Your team" shows what each agent is running, what it found and what is next. "Browse and create" finds an agent by HR area. HR can rename an agent and set its tone.
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Time saved and risks caught
A Time saved card and a monthly report show the estimated hours saved and the risks caught before they reached the bank or ministry.
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Facts for approvers
Approvers see a facts brief on vendor bills, exits, pay changes, attendance corrections and onboarding tasks. Each brief lists the checks and doesn’t recommend a decision.
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Leave auto rules
HR writes rules, and matching leave requests are approved without a person. A manager or HR can reverse an approval within the time set in the rule.
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Ask an expert
When an agent or Kili isn’t sure, HR can send the question to a person at Peoplo.ai. Only what HR writes is sent.
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Agent record for auditors
Admins can export the agents’ work as a CSV. Important changes are also written to an audit log: who did what, and when.
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Approval for AI assistants
AI assistants such as Claude or ChatGPT, connected over MCP, can propose changes, and the person approves them in their inbox. New API keys made in the app have this on by default.
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Kili knows Peoplo.ai too
Kili answers questions about Peoplo.ai itself from the help articles, with a link. The help articles are in all 8 languages, in beta.
Guardrails
Powerful agents, with people in charge
Approval before action
Nothing that changes pay, a person’s record or money happens until a person confirms it.
Your permissions, not more
Agents and Kili work within the access of the role they act for. The password vault is never available to AI.
Approvals on the record
Important changes are written to an audit log: who did what, and when.
An off switch for each agent
Admins choose which agents run. Peoplo.ai works as a normal HRMS without them.
How do other Indian HR products describe their AI? See the best AI HRMS software in India, side by side.
Trust
You set the rules for the AI
Decide which agents run and what they may prepare. Changes to pay, people records and money always wait for a person. Built for GDPR, SOC 2 and India’s DPDP Act.
- Encrypted at rest
- Personal data is encrypted in storage.
- Two-step sign-in
- Protect every account, and sign in with Google or Microsoft.
- Audit log
- Important changes are written to an audit log: who did what, and when.
- DPDP and GDPR tools
- Export or erase a person’s data when they ask.
Ask Kili
Answers from your own policies and records
Employees, managers and HR ask in plain words. Kili answers from your company’s data and shows where every answer came from.
Employee asks
How many paid leaves can I carry into next year?
Up to 10 days. You have 12.5 left, so 2.5 days lapse on 31 Dec unless you use them.
Employee asks
Can I claim my broadband bill?
Yes, up to ₹1,500 a month under the remote work policy. Attach the bill to a claim and the receipt reader fills in the rest.
Employee asks
Which tax regime am I on?
The new regime, chosen in April. Declarations open again in January if you want to review it.
Manager asks
Who on my team hasn’t done this week’s check-in?
2 of 7: Vikram Shetty and Omar Haddad. Want me to send them a reminder?
HR asks
What was our attrition last quarter?
3 people left out of an average of 48, which is 6.3% for July to September.
HR asks
Who is due for a probation review this month?
2 people: Arjun Mehta on 12 Nov and Sara Khan on 25 Nov. Want me to remind their managers?
Sample questions and answers.
Bring your own AI
Works with Claude and ChatGPT
Each person can connect Claude Desktop, Claude Code or ChatGPT to Peoplo.ai over MCP with their own API key. The assistant sees only what their role allows, asks before making a change, and changes it makes are logged under that person’s name.
- Personal API keys you can revoke any time
- Same permissions as the app
- The password vault is never available to AI
Who on my team is on leave next week?
↳ Peoplo.ai · team leave calendar · read only
Two people: Ananya Rao, Monday to Wednesday, and Vikram Shetty, Thursday afternoon. One request is still pending your approval.
Approve Ananya’s request.
↳ Peoplo.ai · approve leave · change, asking first
AI runs
AI included in the plan
An AI run is one AI-assisted action, such as a payroll check or reading a receipt.
Fair use, shared across your company
About 5
AI runs per employee a month. We warn you at 80%. At 100%, AI features fall back to working without AI until the next month.
Questions
Frequently asked questions
Straight answers about Peoplo.ai for Indian companies.
Do Peoplo.ai agents change data on their own?
Not pay, people records or money. Agents prepare drafts, run checks and flag issues, and anything that would change pay, a person’s record or money waits for a person to approve it. If an admin allows it, an agent can send reminders and add notes by itself. Agents that only answer or report, such as the policy assistant and the weekly brief, never change data.
What happens if an agent gets something wrong?
You see exactly what will change before it is applied, line by line. You can edit the draft, reject it, or approve it. Nothing is applied until you do, and your approval is written to the audit log.
Can we turn agents off?
Yes. Admins choose which agents run from AI controls, and can switch any agent off at any time. Peoplo.ai keeps working as a normal HRMS without them.
Who can see what an agent did?
Admins and HR. Important changes are written to an audit log: who did what, and when.
What is an AI run?
One AI-assisted action, such as a payroll check, an onboarding plan, reading a receipt or answering a question. AI is included with fair use shared across your company: about 5 AI runs per employee a month in India.
What is the difference between agents and Kili?
Agents work in the background on one job each, triggered by events such as an accepted offer or a new claim. Kili is the assistant you talk to: employees, managers and HR ask questions in plain words and get answers from company records, with the source shown.
Can we use Claude or ChatGPT with Peoplo.ai?
Yes. Each person creates their own API key and connects Claude Desktop, Claude Code or ChatGPT over MCP. The assistant sees only what that person’s role allows, changes are marked so it can ask first, and the password vault is never available to it.
Put the agents to work on your data
We’ll run them on your policies and payroll rules in the demo.