Capability — AI Governance
You Do Not Advise on Ethics.
You Make AI Provably Accountable.
End-to-end AI lifecycle governance — from design to deployment — with bias detection, explainability validation, and defensible model assurance built in.
233
AI incidents documented globally in 2024 *
The Stakes
Ungoverned AI Is Not a Future Risk. It Is a Present One.
AI incidents documented globally more than doubled in a single year. The Stanford AI Index recorded 233 documented incidents in 2024 — spanning privacy violations, discriminatory outcomes, and safety failures. *
Meanwhile, only 4% of organizations have a cross-functional team dedicated to AI compliance. * Assessed Intelligence engineers governance structures — the documentation, controls, audit trails, and oversight mechanisms that make AI systems provably accountable.
The evidence
Only 28% of organizations have formally defined oversight roles for AI governance *
Only 4% of organizations have a cross-functional team dedicated to AI compliance *
77% of organizations are actively building AI governance programs, yet most lack technical controls to enforce them *
40% of organizations flag AI explainability as their top risk, but only 17% are actively mitigating it *
97% of organizations hit by AI-related security incidents lacked proper AI access controls *
Evidence-Backed Metrics
What Unaccountable AI Costs
IBM Cost of a Data Breach *
97%
Of organizations hit by AI-related security incidents lacked proper AI access controls at the time
Stanford HAI AI Index *
233
AI-related incidents documented globally in 2024 — spanning privacy, bias, and safety failures
IAPP Governance Survey *
28%
Share of organizations with formally defined oversight roles for AI governance
Engineering Accountability Into AI
Responsible AI governance is not a policy document. It is a set of controls, audit trails, and accountability structures that hold up when a regulator, customer, or board asks: can you prove this system is fair, documented, and overseen?
What We Deliver
AI Governance That Passes Scrutiny
End-to-End Lifecycle Governance
Governance built into AI from design through deployment — not added as a late-stage review that creates friction without creating safety.
Bias Detection & Explainability
Systematic bias testing, fairness evaluation, and explainability validation — so AI decisions can be explained to any stakeholder who has the right to ask.
NIST AI RMF & EU AI Act Alignment
Governance frameworks built on NIST AI RMF, ISO/IEC 42001, and the EU AI Act — so compliance is defensible, not just declared.
Human-in-the-Loop Controls
Accountability structures and human oversight mechanisms embedded into AI operations — ensuring human judgment remains present where it matters most.
Get Assessed Today
Make Your AI Provably Accountable.
Assessed Intelligence engineers the governance structures that turn AI compliance from an aspiration into a demonstrable, auditable fact.
Forged by Experience · Driven by Purpose · Built to Endure