In regulated industries, risk grows faster than the business does.
IntelCS — Intelligent Compliance Solutions — started from an unglamorous observation about how regulated organisations grow. Every new client, adviser, case or contract adds files somebody is accountable for, and the cost of staying on top of them climbs faster than the revenue that created them.
So functions review a sample, carry the rest as residual risk, and reconstruct the evidence months later when it is questioned. General-purpose AI made that worse, not better — fluent text with no traceable basis, and sensitive files handed to a commercial provider to get it. We took the opposite constraints as our starting point.
A finding is built from a page and a line, or it is not made at all.
Self-hosted models on our own estate. No commercial AI provider in the path.
An unverified claim is flagged, never quietly smoothed into the narrative.
Team
Practitioners who have run reviews, responded to regulators, and defended files under examination — the people who define what "defensible" has to mean here.
Retrieval, information extraction, and graph construction over messy real-world documents, with grounding treated as a hard constraint rather than an evaluation metric.
Deployment into regulated estates: isolation, residency, key handling, and the procurement questions that decide whether a tool is ever allowed near a case file.
We work with a small number of organisations at a time.
Each engagement starts with your rule-set and your own case material, so onboarding is deliberate rather than self-service. If that suits how your function works, start a conversation.