Fix · test · harden
AI Rescue & Audit
For a RAG bot that hallucinates, an automation that fails silently, or an agent nobody trusts: find out why, fix it, and add tests so it stays fixed.
The problem
Many AI projects work in the demo and then drift: wrong answers, broken webhooks, rising latency, nobody sure what changed.
What we build
- An audit of prompts, retrieval, tool calls, workflows and logs, using real failing cases.
- Fixes to the general behaviour, not tuning that makes one example pass.
- A regression suite (golden cases, static checks, live smoke tests) you can run after every change.
- A short written report: what was wrong, what changed, how it was verified.
Guardrails
- Read-only first. Nothing changes in production without your OK.
- Bad data is tagged, never deleted.
See them run on real data.
The apps run real models on every click, so they sit behind a password. Ask for a login or a guided walkthrough: talk to our AI receptionist in Front Desk, drop invoices into Docket, or load forged applicants into Dossier. Or try them in public: score a lead, read your invoice, forge an applicant, or connect Docket and Dossier to Claude. Or hire us to build yours.