Build AI systems with traceability - require explanations for every decision not just outputs
AI that explains its reasoning reduces risk and enables iterative improvement. Add manual review gates for high-stakes decisions to maintain human oversight while automating routine cases. This prevents black-box AI problems and protects against legal, ethical, and brand risks.
When to use
When building AI-powered features into your product, especially for decisions that affect users or business outcomes. Critical for regulated industries or high-stakes use cases.
Don't do this
Building AI features that just output decisions without explanation, making it impossible to debug errors or understand why the system behaved a certain way.
1 Founder Who Did This
Required AI to output both score (hot/warm/cold) and reasoning for every lead evaluation. Added Slack approval gates for hot leads with buttons to approve/reject, maintaining human oversight for important decisions.