AI product features
Ship AI product features with production controls from day one.
Product teams need AI features that respect permissions, usage limits, evaluation, and clear ownership inside the existing product surface.
Conceptual UIConceptual interface for illustration. Not a live product console.
Example workflow
- 01
Identify the product surface and user job to be done.
- 02
Define permission and data boundaries.
- 03
Design the agent or generation workflow.
- 04
Connect approved tools and product APIs.
- 05
Add evaluation, usage metering, and fallbacks.
- 06
Place human review where consequences require it.
- 07
Ship behind feature flags with monitoring.
- 08
Hand off operating ownership to the product team.
Controls
- · Role-based feature access
- · Tool permission boundaries
- · Usage and cost controls
- · Evaluation before release
- · Human review for high-impact actions
- · Observability and incident paths
Outcomes to measure
- · Feature adoption
- · Task completion rate
- · Unsupported-answer rate
- · Review burden
- · Cost per successful action
- · Incident rate