AI Compliance
AI Compliance is the practice of applying the same evidence-native, engineering-led discipline to AI systems as to any other regulated technology: documenting model purpose and risk, capturing training-data provenance, logging model behaviour, and maintaining human-oversight controls that produce verifiable evidence.
Explanation
As African regulators move toward AI governance frameworks, the mistake will be to treat AI compliance as a separate, document-heavy exercise. It is not. An AI system is another producer of evidence — prompts, model versions, training-data sources, output logs, and override records — that should feed the same Evidence Architecture as every other control.
The defensible posture is to instrument AI systems so their behaviour is observable and attributable, exactly as you would for a payment flow or an access decision.
Why it matters
Model risk and data-provenance failures are audit findings waiting to happen; instrumenting them early avoids a parallel, fragile compliance project later.
Investors and enterprise buyers now ask about AI governance specifically; evidenced controls answer that question on demand.
How StackWeaver applies it
StackWeaver extends the Evidence Architecture to AI systems — capturing model-version, prompt, and output evidence and mapping it to the client’s broader control set rather than standing up a disconnected AI-governance tool.
What this relates to
- Evidence-Native SystemsSystems where compliance proof is a property of how they operate — captured at the source — not a document produced under deadline.
- Evidence ArchitectureThe three-layer model for how compliance evidence is created, connected, and consumed: Created & Captured → Stored & Connected → Verified & Consumed.
- Compliance EngineeringTreating compliance as something built into systems through engineering — enforced, tested, and monitored — rather than added through documentation.
- Trust InfrastructureThe market category StackWeaver operates in: technology able to continuously demonstrate that it can be trusted, not just claim it.