Custom AI Agents

An internal assistant (RAG) answers questions using your company's knowledge: documents, wikis, tickets, and databases. An automation agent executes multi-step tasks on its own, integrating with your tools to complete repetitive work.

RAG (Retrieval-Augmented Generation) combines a language model with your data sources. Instead of making up answers, the assistant first searches your documentation and generates grounded responses, with source citations so you can verify them.

The ones you already use: wikis and document managers, Google Drive, Notion, CRMs, ERPs, ticketing systems, databases, and any service with an API. We design the integration around your infrastructure.

Yes. We work with access control and per-team permissions, and design solutions in compliance with GDPR. Your data is only used to answer within your organization.

We define together which steps can run autonomously and which require human validation. On critical steps we always keep oversight to ensure control and quality.

It depends on the scope and available data. We usually start with a scoped pilot to validate value before scaling, so you see results quickly without big upfront investments.