An operations-heavy B2B company
We engineered an agentic AI layer — a custom MCP server and a locked-down RAG pipeline — that automates knowledge-heavy internal workflows without hallucinating or leaking data.
Enterprise churn was 2.1% in Q3, down from 3.4%.
The problem
The team wanted to automate knowledge-heavy workflows but couldn't trust off-the-shelf AI tools that hallucinated, had no access controls over sensitive data, and gave no audit trail for the actions they took.
Our approach
- 01
We built a custom Model Context Protocol server so internal tools and data sources became safe, governed actions for the agent.
- 02
We grounded every response in an enterprise RAG pipeline scoped to approved, permissioned documents only, returning citations so answers stayed traceable.
- 03
We instrumented each agent run with evaluation and audit logging, expanding autonomy only where the evals proved it was safe.
The outcome
An AI layer the team actually trusts — automating routine work while keeping every answer grounded, permissioned, and fully auditable.
Impact (figures pending confirmation)
- Manual work removed
- 40 hrs/week [confirm]
- Answer grounding accuracy
- 98% [confirm]
- Sensitive-data leaks
- 0 [confirm]
Build something like this
One senior team, end to end. Tell us what you're building and we'll architect the path to ship it.