04 · Add useful AI
Add AI to a Product or Workflow with Clear Controls.
Start with a defined user or operating task, test feasibility against representative work and design evaluation, permissions and fallback before production.
Common signs
This Path Is Useful When…
- People repeatedly search, summarize or classify complex information.
- A product could create more value with contextual assistance.
- An AI prototype works in a demo but lacks evaluation and operating controls.
- The business needs evidence before funding a larger AI program.
What the work can include
Connect the Decision to Delivery.
The exact scope follows the workflow, evidence and constraints—not a fixed package.
- 01AI opportunity and data-readiness assessment
- 02Assistants, retrieval and enterprise search
- 03Agent and workflow orchestration
- 04Model and product integration
- 05Evaluation, permissions, guardrails and fallback
- 06Quality, latency, cost and production monitoring
Production standard
Production readiness before feature volume
We define representative evaluations, permitted actions, human-review boundaries, fallback and monitoring before treating an AI prototype as a production product.
Smallest useful first step
Feasibility prototype
Test the riskiest AI capability against agreed tasks, quality thresholds, operating constraints and a non-AI fallback.
Plan the First StepStart with the Decision Your Business Needs to Make.
Dmytro Dvurechenskyi or the relevant product and engineering lead will review your note and recommend a practical next step.
Describe Your Challenge