AI for HR that answers, files, and follows through
Custom AI for onboarding, policy questions, case management, and document generation, built on your HRIS with employee data kept inside your own environment.
How it works
An HR generalist supporting 400 people spends most of the week answering the same forty questions and chasing eight systems for one new hire's laptop, badge, and payroll record. Almost none of that is HR work; it is retrieval and coordination that happens to land in an HR inbox. We build AI that takes the retrieval and the chasing, answers from your actual handbook with the clause attached, and leaves the judgment calls, the sensitive conversations, and every employment decision with your team.
A policy helpdesk that quotes the handbook
Employees get an accurate answer in seconds, with the exact policy section it came from attached.
- Grounded in your handbook, benefits guides, and country-specific policies
- Every answer cites the document and section so HR can verify it
- Says it does not know and routes to a human rather than guessing
- Lives in Slack, Teams, or your portal with SSO and role-aware answers
Onboarding and offboarding that actually complete
One HRIS trigger fans out into every provisioning, payroll, and compliance step, then reports what is still open.
- Starts from the HRIS record, with no duplicate data entry anywhere
- Creates accounts, orders equipment, books day-one sessions, assigns training
- Offboarding revokes access on the last-day timestamp and confirms it in writing
- Live checklist with owners, due dates, and escalation when a step stalls
Employee data that stays where it belongs
Personnel records are the most sensitive dataset most companies hold, so the system is built for least privilege from the first sprint.
- Deployed in your tenancy, so employee records never leave your environment
- Field-level redaction of health, pay, and disciplinary data before any model call
- Role and region-aware retrieval, so a manager sees only their own reports
- SOC 2 controls, full audit log, and no employee data used to train any model
Where teams use it
Built for real revenue work.
HR inboxes buried in benefits questions
Open enrollment turns four generalists into a call center for three weeks. The assistant answers plan comparisons, eligibility, and deadline questions straight from your carrier documents, and hands off the genuine exceptions with the context already gathered.
New hires waiting on access they needed on day one
The moment a candidate is marked hired in the HRIS, provisioning, payroll setup, and training assignment run in parallel instead of sequentially, and the manager gets one view of what is still outstanding.
HRIS records that quietly drift out of date
AI reconciles the HRIS against payroll, directory, and ticketing data, then surfaces missing managers, duplicate records, and expiring work authorization for review. It proposes the correction; a person applies it.
“The thing that changed our week was not the chatbot, it was that every answer arrived with the handbook section attached, so we stopped re-litigating what the policy actually said. Our team went back to doing employee relations work instead of lookups.”
FAQ
Questions, answered.
How is AI actually used in HR?
The dependable wins are operational rather than decisional: answering policy and benefits questions from your own documents, running onboarding and offboarding checklists across systems, drafting letters and case summaries, and keeping HRIS data clean. AI handles retrieval, coordination, and first drafts. People keep the judgment, the difficult conversations, and the decisions.
Is it safe to put employee data into an AI system?
Only with a design that assumes it is not. We deploy inside your tenancy so records never leave your environment, redact health, pay, and disciplinary fields before any model call, enforce role and region-aware access in the retrieval layer, and log every query for audit. Contracts prohibit your data from being used to train models, and we build the export and deletion paths you need to satisfy GDPR and US state privacy requests.
Will AI make employment decisions like promotions or terminations?
Not in anything we build. Hiring, promotion, discipline, and termination decisions carry real exposure under Title VII, the ADA, and the ADEA, and automated decision tools in that space now attract audit and notice obligations in New York City, Illinois, Colorado, and the EU. Our HR systems retrieve, summarize, and draft. A named human reviews and owns the outcome, and the audit trail records who decided what and when.
How long does an HR AI build take, and what does it cost?
Most HR builds ship a working first release in four to six weeks and complete in eight to twelve, depending on how many systems the workflows touch. We quote a fixed project cost after a scoping week, so there is no hourly meter and no change-order theater. You own the code, the prompts, and the data model outright at handover.
Keep exploring
More from the Leadify platform.
Custom AI Software
Purpose-built AI systems delivered on a fixed price, with the IP transferred to you.
Conversational AI
The assistant layer behind policy Q&A in Slack, Teams, and your service portal.
AI for Recruiting
The hiring side: resume parsing, interview scheduling, and audited screening support.
Give your HR team its week back
Send us your handbook and the twenty questions employees ask most, and we will show you the answer quality on your own policies before you commit to anything.