Insights

Fully AI enabled: inside each module, and in a chat

AI reads a resume against an opening, explains a payroll flag, reads a receipt or a tax proof and drafts a helpdesk reply, on the screen where the work happens. The assistant answers from your company's data within each person's role. Every result is a suggestion, and a person decides.

  • AI inside each module
  • Answers for every employee
  • Why is this blocked?

A sample chat. An employee asks for a day of casual leave, checks the request and confirms it. A payroll admin asks why payroll cannot be released and is told who must approve it.

AI inside each module

On the screen where the work happens

Each one sits in its module and is switched separately from the chat. These are sample screens: the labels and states are the product's, and the names and figures are made up.

Recruitment

Resume match

A score and reasons on the candidate page, against the opening's requirements: what the resume shows and what it does not.

Runs:
When an application arrives, or when a recruiter asks.
You decide:
It never rejects or moves a candidate. The recruiter decides.
A sample candidate page. Resume match shows a score of 78 out of 100, four requirements shown in the resume and two not shown, labelled as an AI suggestion. Sample data.
Payroll

Payroll change explanation

Plain words for the checks that fired on a computed run, and what to check first.

Runs:
Once after a run is computed. Again only if a recompute changes the flagged lines.
You decide:
It never changes, holds or releases a run.
A sample payroll exception report. AI explains two flags, excessive loss of pay and a salary decrease over the threshold, with what to check first for each. Sample data.
Expenses

Expense receipt reading

Reads the amount, date, vendor and category from an uploaded bill, and warns if it may already be on another claim.

Runs:
When a person uploads a receipt, once per file.
You decide:
The person checks and changes it. Nothing is submitted by itself.
A sample expense claim. A hotel bill is read as 4,720 rupees on 21 October 2026, with a warning that this amount may already be claimed for this date. Sample data.
HR helpdesk

Helpdesk reply draft

Suggests a category when a ticket is raised, and drafts a reply from your knowledge base when an agent asks.

Runs:
Category when a ticket is created. Draft when an agent clicks.
You decide:
The agent edits it. Nothing is sent until they press Send reply.
A sample helpdesk ticket about HRA on a payslip, with a suggested category of Payroll and a reply draft based on a knowledge base article. Sample data.
Reports

Report from a sentence

Type what you want and AI picks the report or sets up the custom report. It returns a report definition, not data.

Runs:
When a person asks. The data is read fresh under their own access each time.
You decide:
They check it and open it. Nothing is saved or sent by itself.
A sample report screen. The sentence attrition by department last quarter finds the Attrition trend report for 01 July to 30 September 2026. Sample data.
Income tax

Tax proof reading

Reads the section, amount, financial year and issuer from an uploaded proof, and shows how they compare with what was declared.

Runs:
When a person uploads a proof, once per file. Proofs on the 80D, 80DD, 80DDB and 80U lines are not sent.
You decide:
It never approves a proof or changes a declaration.
A sample tax proof. The section and financial year are the same as declared, and the amount is 15,000 rupees less than the 1,50,000 rupees declared. Sample data.
Performance and documents

Review and letter drafts

Feedback on each goal for a manager writing a review, goal ideas, a 1:1 summary, and wording for a letter template. Letter drafts can be in English or Hindi, though issued letter PDFs cannot print Hindi yet.

Runs:
When a person clicks.
You decide:
It goes into the normal box to edit. AI gives no score or rating. Disciplinary and POSH letters have no AI.
A sample feedback draft on one goal, and a sample letter template draft with merge fields and a fill in marker. Sample data.
Surveys

Survey summary

The themes in a closed survey's open-text answers, and actions HR could take. It shows no names and no quotes.

Runs:
Once after a survey closes, and again only if more responses arrive.
You decide:
It changes nothing. HR decides what to do.
A sample survey summary built from 184 comments, with two themes and two actions to consider, without names or quotes. Sample data.
Reports

Attrition reasons

Plain words on each department's exit figures, and what to check. It explains past trends. It is not a prediction, and it says nothing about any person.

Runs:
Once a month, at department level only.
You decide:
It gives no risk score and changes nothing.
A sample attrition report for 12 months to October 2026, explaining exits by department, with small departments left out. Sample data.
Learning

Learning suggestions

Courses from your own catalogue for each person, from their role and skills.

Runs:
Once a month, or when a person asks. Again only if role or skills change.
You decide:
Nothing enrols anyone. The person decides.
A sample list of three suggested courses with a reason for each and a button to open the course. Sample data.
Setup

Setup from Excel or PDF

Suggests which NeevHR field each column of an employee or migration file holds, and fills a draft leave policy from your policy PDF.

Runs:
When a person uploads a file, once per file.
You decide:
Nothing imports, saves or publishes by itself. It reads what the document says, not what the law requires.
A sample import mapping with three column suggestions, and a sample leave policy read from a PDF with three leave types. Sample data.
The rules every AI feature follows

You stay in charge of what it does

  • A switch per module

    NeevHR switches a module's AI on for your company, and your AI admin can turn it off. With it off, the screen is the normal complete screen, with no empty box and no prompt.

  • AI suggests, a person decides

    It never rejects, approves, pays or changes a record by itself. Every result is labelled as an AI suggestion, with the date it was made.

  • No repeat call for unchanged data

    The same record with the same input never calls the model twice. The stored result is reused at no charge, and nothing calls the model when a page opens.

  • The same role permissions

    AI text shows only to someone who may already open the record and the fields it was built from. Disciplinary and POSH have no AI.

  • Prepaid credits

    AI runs on credits your company buys. When they finish, stored results still show, no new run starts, and the feature keeps working without AI.

What goes to the AI provider

Feature by feature, in plain words

When your company switches a feature on, this goes to our AI provider, Anthropic, which may process it outside India. Files are sent whole, and a file can contain what is printed on it, so ask people to upload only what the claim or proof needs. See the privacy policy.

What each AI feature sends to the AI provider
FeatureWhat is sent
AI assistant (chat)The question, and the record data needed to answer it within that person's role, such as their own payslip summary or leave balance. The assistant's tools do not read bank account, IFSC, PAN, Aadhaar, UAN, ESI number, address, tax details, health or disciplinary data, a candidate's phone or email, or another person's individual pay. Whatever a person types in a question goes as typed.
Resume matchCleaned resume text and the opening's title and job description. Automatic rules take out the name, contact details, ID numbers, address, personal details and pay first. Rules work on patterns, so something written in an unusual way could remain.
Expense receipt readingThe whole receipt file as uploaded (image or PDF), and your expense category names. No detail is added from the record, but a file can contain what is printed on it, such as a name or a card or account number.
Tax proof readingThe whole proof file as uploaded (image or PDF), and the product's tax section names. A file can contain what is printed on it, such as a name, PAN or account number; those are not kept or shown from the reading. Proofs on the health-related lines (80D, 80DD, 80DDB, 80U) are not sent. The check is by the line a file is uploaded on, so a health paper uploaded on another line would go.
Leave policy from a PDFThe whole PDF as uploaded, and the names of your leave types. A PDF whose text shows a PAN or Aadhaar number is refused. A scanned page has no text to check, so it can still go if it shows one.
Import column matchingColumn headings, and up to three masked samples per column that show the shape of a value, not the value. Columns for PAN, Aadhaar, bank, pay and other personal details send no sample. The rows of the file do not go.
Payroll change explanationThe checks that fired, with a line reference for each person, the percent change in net pay, loss-of-pay days, overtime hours and variable pay as a percent of gross. No name, employee code, department, bank detail, PAN or rupee amount.
Helpdesk category and reply draftThe ticket subject and the conversation with the employee, after automatic rules remove names, contact details and ID numbers, your ticket category names, and matching knowledge base and Help Centre text. Internal notes and attachments do not go. Confidential categories and tickets that read as a private matter do not use AI.
Report from a sentenceThe sentence typed, and the names of the reports and fields the person's role may use. No employee data. A sentence with a person's full name, code, email, phone or ID number is refused.
Review, goal and 1:1 draftsFor a review: each goal's title, description and weight, and the employee's own note and self percent. For a goal: the designation, department and existing goal titles. For a 1:1: the agenda, shared notes, action items and that person's own private note. Automatic rules remove names, codes, contact details, ID numbers, bank details and pay figures first. Ratings, pay and the other person's private note do not go.
Letter template draftThe letter type, language, template name and category, and the names of the merge fields. No employee data: details stay as merge fields until a letter is issued.
Survey summaryThe question text and open-text answers, with no name, employee code or department attached, after automatic rules remove names, contact details, ID numbers and pay figures from the words. A question goes only with at least the survey's minimum group of comments. An answer that reads as a health, private, disciplinary or POSH matter is left out.
Attrition reasonsFor each department large enough to show: its name, average headcount, exits, attrition percent, trend, and counts of exit types and resignation reasons. No name, employee code, pay, rating or exit interview text.
Learning suggestionsThe person's designation, department and skill names, and your catalogue's course titles, types, hours and skills. No name, employee code, contact detail, pay, rating or attendance.
AI you stay in control of

Your people get answers. You keep the keys.

Employees stop waiting for HR on routine questions, and anything that would change a record comes back to a person to confirm. Your admin decides the rest.

Who can use it

It is switched on module by module, and your AI admin can turn a module off. Your Company Admin has it from day one and decides who else gets the assistant: everyone, or only the people you name.

How much it can use

AI runs on prepaid credits your company buys, never the employee. You see the balance at any time, and when the credits finish, AI stops. There is no surprise bill.

Who used how much

A usage report by person and department, with date and module filters, ready to export. It shows questions asked and credits used, never what anyone asked.

What it can see

Exactly what the person's role can open on screen. The assistant's tools do not read another person's pay, or bank, PAN, Aadhaar, UAN, ESI number, address, health and disciplinary data. An uploaded receipt or proof is sent whole, and a file can contain what is printed on it. Anyone who tries a trick to get more is warned once, then blocked for a day.

Key capabilities

What AI assistant does in NeevHR

AI inside each module

Resume match, payroll change explanation, receipt and tax proof reading, helpdesk drafts, report from a sentence, review and letter drafts, survey summary, attrition reasons, learning suggestions and setup from Excel or PDF. See them below.

Answers for every employee

Leave balance, attendance, shift, holidays, expense claims, tickets, courses, and their own payslip summary, CTC, loans, goals and released rating.

Why is this blocked?

Why payroll cannot be released and who must approve it, who a request is waiting on, why someone cannot see a record, and whether an approver has been set.

Drafts you confirm

It prepares a leave request, a regularization or a helpdesk ticket as a review card. Managers review leave decisions by name. Nothing happens until the person confirms.

Help and policies

How-to and policy answers from the Help Centre and your company's documents, with the article cited. When it is unsure it says so and points to HR.

English, Hindi and Gujarati

It replies in the language the person writes in.

Read only where it matters

In Payroll, Compensation, Variable pay, Benefits, Loans, Recruitment and Performance it only reads. It cannot run payroll, change a salary, make an offer or change a rating.

Workflow

How AI assistant works, step by step

  1. 1

    Switch on

    NeevHR switches it on for your company, module by module, and your AI admin can turn a module off. Your Company Admin has it from the start.

  2. 2

    Choose people

    Your admin decides who may use it. Each person reads a notice on what is sent before first use.

  3. 3

    Ask or work

    People ask in plain words, or see a suggestion on the record they are working on, with the same permissions they have on screen.

  4. 4

    Confirm

    Anything that would change a record comes back as a review card, and only the person's confirmation carries it out.

Benefits

  • Routine questions get answered without waiting for HR
  • A stuck payroll or approval names the real cause and who can fix it
  • No per-employee AI fee: your company buys prepaid credits and uses them as needed
  • AI works on the module's own screen, and the same input is never charged twice

Who uses it

Employees
Ask about their own leave, attendance, payslip and requests.
Managers
See who is on leave and what is waiting, and review decisions by name.
HR and payroll
Find out what is blocking a run or an approval, and why someone cannot see something.
Recruiters, agents and approvers
See resume, ticket and proof suggestions on the record they already work on.
Company Admin
Decide who may use it, watch the credit balance and read the usage report.
Configuration points

Set as rule sets by your HR admin, assigned to employee groups.

  • AI on each module's screens: a switch per module
  • Which modules the assistant works with, per company
  • Which employees may use it
  • Which roles may use it
  • Which roles may draft actions
Reports & analytics

Every list becomes a report; every report a chart that drills to records.

  • Credit balance
  • Questions and credits by person, with date and module filters
  • Export of usage
Built on the NeevHR platform

AI assistant does not run in a silo

Like every module, it sits on one effective-dated employee record, with India's statutory rules, configuration and governance shared across the platform.

Built for India, only India

PF, ESI, PT, LWF and TDS, gratuity, bonus and the DPDP Act 2023 are part of the core product, not an add-on. INR and the India financial year throughout.

Depth without the drag

Process discipline and statutory accuracy for growing and mid-market companies, without the cost or the multi-year rollout of a tier-one suite.

A guided go-live

Implementation time depends on employee count, data quality, integrations and payroll complexity.

Configured by your HR admin

Leave, attendance, payroll, expense and appraisal are configurable rule sets assigned to employee groups. A trained HR admin can own them, no certified consultant required.

AI assistant: frequently asked questions

Can someone use it to see another person's salary?

No. It never gives another person's individual pay, for any role, whoever asks. Company pay appears only as totals, and small groups are hidden so nobody's pay can be worked out.

Can an employee find out why a colleague cannot see something?

No. Each check follows the permission of the screen behind it. Only people who manage users or roles can check another person's access. Anyone else is told to ask their HR admin.

What data goes to the AI provider?

The provider is Anthropic, which may process data outside India. For the assistant: the question and the record data needed to answer it; its tools do not read bank account, IFSC, PAN, Aadhaar, UAN, ESI number, address, health or disciplinary data. For a module's AI, when your company switches it on: cleaned resume text, and uploaded receipts or proofs as whole files. A file can contain what is printed on it, so it can show a name, PAN or account number. Proofs on the health-related lines (80D, 80DD, 80DDB, 80U) are not sent. The table on this page lists each feature.

Does AI decide anything by itself?

No. It never rejects, approves, pays or changes a record. Each result is labelled as an AI suggestion, and a person uses it or ignores it.

Are we charged again when a page is opened or nothing has changed?

No. Nothing calls the model when a page opens, and the same record with the same input reuses the stored result at no charge. Some features run by themselves once switched on, such as resume match when an application arrives; these use credits and have a monthly limit per feature.

Is every AI feature on by default?

No. NeevHR switches a module's AI on for your company, and your AI admin can turn it off. With it off, the screen is the normal complete screen, with nothing about AI.

Can our HR team read employees' questions?

No. The usage report shows how many questions a person asked and the credits used, never the questions or the answers.

How is it charged?

Your company buys prepaid credits. Each answer uses credits according to its length, and only the company recharges, never the employee. See the pricing page.

Explore related modules

One platform, one employee record.

See AI assistant on your own data

A tailored walkthrough for your team, no generic deck.

Book a demo