Agencies are adopting AI faster than they can verify it. We work on both sides of that. We independently validate the AI systems agencies buy, we work alongside those systems once they're in, and we use AI across our own delivery so the work moves faster and costs less. Every one of those rests on the same rule: a named person on our team is accountable for the result.
Built by consultants, for consulting work.
We have our own proprietary, AI-augmented toolkit for the parts of an engagement that consume time without adding judgment. It runs across our business transformation, technology and IV&V work. The toolkit does the first draft; our consultants do the thinking, check every output against its source, and sign what goes to the client. The result is the same standard of work, delivered faster, with more of the engagement spent on judgment and less on transcription.
We use AI on your data only with your written approval, and only for the tasks you approve.
Client data goes only into enterprise AI tools that do not train on it, never into consumer AI accounts.
A named member of our team reviews and owns every AI-assisted deliverable.
Independent verification of the AI systems agencies buy.
IV&V has always asked whether a system does what was promised, and whether the risks are visible while there's still time to act. We bring the same discipline to AI, working from the frameworks agencies are measured against.
Around the system, we do the rest of the work: procurement due diligence on the vendor's claims before the contract is signed, and adoption and governance once the system is in, so it's used the way it was approved.
Is the system governed, mapped, measured and managed, with clear accountability, a defined intended use, tested performance and risks treated over time?
For generative AI, the twelve risks NIST identifies, including confabulation, information integrity, data privacy and harmful bias.
The federal minimum practices for high-impact AI: pre-deployment testing, impact assessments and ongoing monitoring. It binds federal agencies, and it is a sound benchmark for any state or municipal program.
Our team holds the credentials that test this work.
AIGP
IAPP
Artificial Intelligence Governance Professional
AI governance, law and responsible deployment.
AAIA
ISACA
Advanced in AI Audit
Auditing AI systems.
AAIR
ISACA
Advanced in AI Risk
AI risk governance and lifecycle risk management.
CISA
ISACA
Certified Information Systems Auditor
Information systems audit.
CRISC
ISACA
Certified in Risk and Information Systems Control
IT risk and controls.
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