Program & AI Leaders
Define mission acceptance criteria, decision ownership, evidence requirements, and conditions for operational use.
Government AI assurance
Advance the mission.
Examine the AI behind it.
Independent AI and agent assessment for agencies and delivery partners moving from procurement or pilot to operational use. Defined scope. Documented evidence. Clear decision ownership.
AI Mission Assurance
Operational authority calls for operational evidence.
The question is not simply whether an AI system works. It is whether the evidence supports this use, in this environment, with these permissions. ETE scopes the review around the program’s actual decision and requirements.
Explore the readiness assessment- System purpose and mission boundaries
- Mission acceptance criteria and representative task testing
- Data, vendor, model, and tool dependencies
- Agent permissions and effective human approval paths
- Intervention, recovery, and manual fallback
- Operating value, monitoring records, and change reviews
For the people accountable for deployment.
Acquisition & Procurement Teams
Examine vendor claims, documentation gaps, dependencies, and procurement-related AI risks.
Risk & Governance Offices
Establish a traceable record of findings, approval responsibilities, controls, and reassessment needs.
Federal Contractors
Scope independent assessment, evaluation documentation, and governance workstreams within a delivery program.
Evidence & Evaluation
A program-specific approach.
Assessment design can draw on the NIST AI Risk Management Framework and the requirements identified for the engagement. Authorized testing, technical review, evidence access, and specialist responsibilities are established before work begins.
ETE’s findings inform the decision. The responsible government organization retains approval and deployment authority.
Clarity starts with a conversation
Bring clarity to your next program decision.
Tell us about the intended use, program stage, and assessment or oversight requirements.