Iron Brick · Grounded AI

AI answers you can trace to the record

Large language models are only as trustworthy as the data they draw on. Iron Brick grounds AI in your systems of record through governed APIs, so every answer cites its source and respects who is asking.

The model is rarely the hard part

Connecting a model safely to current, authoritative data is. We treat AI as an integration problem first: retrieval and agent tools built on governed APIs, evaluation against real cases, and monitoring for accuracy, cost, and security once it is live.

What We Deliver

Grounded AI capabilities from Iron Brick.

AI Readiness Assessment

Your data, systems, and governance measured against the AI outcomes you want, with a phased roadmap.

Retrieval Grounded in Records

Answers built from documents and structured records fetched at question time, not from stale copies.

Citations by Default

Every statement links back to the record it came from, so reviewers can verify quickly.

Access-Aware Answers

Users only get answers drawn from records they are already allowed to see.

Evaluation & Testing

Accuracy checked against real cases before launch, with regression tests as prompts and models change.

AI Operations

Production monitoring for accuracy, latency, cost, and security, with runbooks your team can own.

Why Iron Brick

Integration depth first. AI is only as useful as the data and systems it can reach.

20 years of integration

Two decades of enterprise integration and 14 years of MuleSoft delivery, including federal, state, and financial-services programs.

Federal delivery

Delivery for FDA, HHS ACF and ORR, HUD, and DFC, directly and as part of prime contractor teams.

Security from day one

SOC and data center experience means access control, logging, and auditability are part of every design.

Federal capabilities and company data

Start with an AI readiness assessment

Get a clear view of which AI use cases your data can support today, and what it takes to get the rest ready.

Talk to an Architect