Week 1 — Identify
Select 1–2 high-value use cases aligned to business outcomes. Deliverable: Use-case selection memo + risk assessment.
The AI Discovery Lab: From Curiosity to Capability
Four weeks. Four sprints. One repeatable workflow your teams can own.
What the Lab Is
A hands-on environment where teams learn to apply AI responsibly to real workflows. Each sprint blends learning, testing, and measuring adoption impact.
How It Works
Week 2 — Test
Build small workflow prototypes and validate constraints. Deliverable: Working prototype + constraint documentation.
Week 3 — Measure
Quantify time and quality impact with clear success metrics. Deliverable: Impact scorecard (time saved, quality metrics).
Week 4 — Systemize
Create documentation, ownership, and enable internal champions. Deliverable: Workflow playbook + champion training plan.
Each team leaves with an AI-ready workflow and a confidence model for scale.
Who the Lab is for
The AI Discovery Lab is for teams ready to apply AI in real workflows.
If your teams are past the slideware and experimenting on their own, but you want guardrails, shared patterns, and measurable outcomes, this is where they get a structured four-week sprint to turn ideas into working workflows.
Outcomes You Can Expect
One repeatable workflow per team (e.g., automated reporting, intelligent document review, or workflow triage).
+25% average process speed increase across participating teams.
Reusable training assets and playbooks you can use for future cohorts.