Our Process
We collaborate with your team to identify meaningful evaluation criteria based on your AI system’s purpose, risks, and expected outcomes. Then, we build a lightweight, testable suite that reveals not just how your model performs, but why. Whether you're pre-deployment, mid-rollout, or live in production, our custom suites give you the clarity to move forward with confidence.
Sample Timeline
- Week 1: Discovery session to define use case, goals, and model context
- Week 2: Draft of initial evaluation suite, with stakeholder review
- Week 3–4: Iterative refinement + optional run on historical or shadow data
- Week 5+: Integration into existing workflows or reporting cadence
Sample Deliverable
A tailored evaluation dashboard or PDF report with:- Custom metric definitions and visualizations
- Precision/recall, suitability scores, and efficiency tradeoff charts
- Highlighted edge cases and segment-specific findings
- Actionable recommendations for improvement or expansion
Optional: API endpoints or exportable formats for internal tools