HR Automation
Internal HR Chatbot and Employee Assistant Built on Your Policies
Your HR team answers the same questions about PTO, payroll, benefits, and onboarding hundreds of times a month. We build an internal HR chatbot that answers from your actual handbook, benefits docs, and HRIS data, with source citations and role-based access so employees get correct answers in seconds.
The Problem: HR Drowns in Repeat Questions
HR teams spend a large share of every week fielding the same questions: how much PTO is left, when payroll lands, what the parental leave policy is, how to expense a flight. Answers live scattered across a 60-page PDF handbook, a benefits portal, a wiki, and people's heads. Employees either wait days for a Slack reply or guess wrong, and HR has no time left for hiring, retention, or actual people work.
How Our HR Chatbot and Employee Assistant Solves It
We deploy a RAG chatbot grounded in your real HR documents and connected to your HRIS where allowed. It answers in plain language, cites the exact policy section it pulled from, and says 'I don't know, here is who to ask' instead of inventing answers. Role-based access means a manager sees headcount policy details an individual contributor does not, and personal data like a specific PTO balance is gated behind authenticated, employee-scoped queries.
Where It Lives and What It Connects To
The assistant runs where employees already work: Slack, Microsoft Teams, or an internal web widget. It ingests your handbook, benefits guides, expense and travel policies, and onboarding docs, and can read from HRIS systems like BambooHR, Workday, or Rippling for personalized answers. Every answer links to its source so employees and HR can verify, and unanswered questions are logged so you can close documentation gaps.
Why Nerai Labs
Our team has shipped production systems handling 50K+ daily executions, and our founder built data and automation systems at MercadoLibre, Mercado Pago, Pomelo, and Scale AI. We treat HR data as sensitive by default: PII handling, audit logs, and access scoping are designed in from day one, not bolted on. You own the system and the data; we build it to your stack.
How it works
- 01
Scope and Ingest
We catalog your HR docs and data sources, define access roles, and load everything into a retrieval index with citations preserved.
- 02
Ground and Test
We tune retrieval against your real questions, add guardrails so the bot defers instead of guessing, and validate answers with your HR team before launch.
- 03
Deploy and Improve
We ship into Slack, Teams, or a web widget, then track usage and unanswered questions to refine answers and fill documentation gaps over time.
What you get
- Employees get correct HR answers in seconds instead of waiting days for a reply
- HR reclaims hours each week previously spent on repeat policy and payroll questions
- Every answer cites the exact policy source, so staff can verify and trust it
- Role-based access keeps personal and manager-only data scoped to the right people
- Unanswered questions are logged, exposing gaps in your handbook and policies
- Faster onboarding as new hires self-serve answers from day one
Questions
Will the chatbot make up answers it doesn't actually know?
No. We ground every response in your real HR documents using retrieval, and we add guardrails so the assistant says it doesn't know and points to the right contact rather than guessing. Each answer cites the exact source section so anyone can verify it.
How do you keep sensitive HR data and PII secure?
Personal data like PTO balances or salary details is gated behind authenticated, employee-scoped queries, so people only see their own information. We design PII handling, role-based access, and audit logging in from the start. You own the data and the deployment.
Can it connect to our HRIS, like BambooHR, Workday, or Rippling?
Yes. We can connect to common HRIS platforms to deliver personalized answers such as remaining PTO or benefits enrollment status. Where direct integration is not available, the assistant still answers policy questions from your documents and routes personal requests to the right person.
Where do employees use it, and how long does it take to launch?
It runs inside Slack, Microsoft Teams, or an internal web widget, wherever your team already works. Timelines depend on how many sources and integrations are involved, but a focused first version grounded in your handbook is typically live in a few weeks.
