What We Do
Independent AI Oversight Across the Deployment Lifecycle
ETE Oversight supports government agencies, contractors, technology providers, and organizations deploying consequential AI systems from acquisition through operational oversight.
Four service lines covering the full AI governance lifecycle — from procurement due diligence through continuous oversight — built specifically for government and public-sector AI environments.
01
AI Procurement Due Diligence
02
AI Deployment Readiness
03
Governance & Remediation
04
Continuous AI Oversight
01
AI Procurement Due Diligence
Examine. Identify. Document.
Independent review of AI vendors, proposed systems, available evidence, governance documentation, known limitations, and deployment considerations — before or during acquisition. Identify risks before commitment.
Includes
- AI vendor and product assessment
- Pre-procurement risk identification
- Documentation and evidence gap analysis
- Proposed use-case risk review
- Governance and human oversight requirements
- Procurement risk findings and executive brief
02
AI Deployment Readiness
Evaluate. Document. Verify.
Independent evaluation of whether sufficient evidence, governance, controls, documentation, human oversight, and monitoring structures exist to support an informed deployment decision.
Includes
- Independent AI system evaluation
- Risk assessment across 10 structured categories
- Human oversight and accountability review
- Vendor transparency and dependency review
- Documentation gap analysis
- Deployment evidence package and executive brief
03
Governance & Remediation
Govern. Remediate. Strengthen.
Development and implementation of governance frameworks, policies, accountability structures, and controls — and support for remediating material findings identified during assessment.
Includes
- AI governance framework development
- Policy and acceptable-use standards
- Accountability structure design
- Human oversight plan development
- Finding remediation support
- Governance documentation and records
04
Continuous AI Oversight
Monitor. Reassess. Maintain.
Governance does not end at deployment. ETE provides ongoing oversight programs that track AI system changes, maintain risk registers, and ensure accountability structures remain current as AI evolves.
Includes
- Periodic AI reassessment programs
- AI lifecycle and change monitoring
- Risk register maintenance
- Vendor change review
- Governance documentation upkeep
- Executive oversight reporting
Core Capabilities
Sixteen individual capabilities across our four service lines.
Independent AI Evaluation
Structured, documented evaluation of AI systems, products, vendors, and implementations. Independent findings not influenced by the AI developer or vendor.
AI Risk Assessment
Identification and classification of risks associated with AI use, including operational, data, privacy, reliability, accountability, and governance risks.
AI Governance
Development of governance frameworks, policies, roles, responsibilities, and controls that establish accountability around organizational AI use.
AI Assurance
Structured assurance processes that provide documented evidence of AI system evaluation, governance controls, and risk management.
AI Vendor Assessment
Independent evaluation of AI vendors, tools, and platforms — including data practices, contractual terms, reliability claims, and governance documentation.
AI Procurement Due Diligence
Pre-procurement review of AI products and vendors to identify risks, documentation gaps, and governance considerations before acquisition.
Generative AI Governance
Governance frameworks and controls specifically designed for generative AI use — including content review, output reliability, and data handling.
AI Lifecycle Monitoring
Ongoing oversight of AI systems after deployment — tracking changes, reassessing risks, and maintaining governance documentation over time.
AI Governance Documentation
Creation of documented governance artifacts including AI inventories, risk registers, policy documents, and accountability records.
AI Policy Development
Development of internal AI-use policies, acceptable-use standards, and governance procedures tailored to the organization.
AI Risk Registers
Structured risk registers that document identified AI risks, classifications, controls, and remediation status.
Human Oversight Assessment
Evaluation of whether appropriate human review, approval, and oversight mechanisms exist around AI-assisted decisions and outputs.
AI Control Evaluation
Assessment of existing controls around AI use — identifying gaps, weaknesses, and areas requiring additional governance.
Government AI Readiness
Specialized readiness assessment for organizations seeking to work with government and public-sector customers.
AI Governance Implementation Support
Practical support for implementing governance frameworks, policies, and controls within the organization.
AI Testing / Evaluation Coordination
Coordination and documentation of AI evaluation activities — including test planning, evidence collection, and findings documentation.
Ready to discuss your needs?
We respond to all consultation requests within one to two business days.
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