For CEOs and GMs deciding where AI should land first.
Engagement scope and pricing established post-discovery.
Most AI rollouts that fail were misrouted at the start. The team that picked the platform was not the team that did the work. The pilot that launched was not the workflow most worth changing. The Workflow Diagnostic exists to fix the order — to map your team's actual work before the platform decision is made.
The license-to-use gap is measurable on Day 1. Across published Microsoft 365 Copilot deployments, the active-use rate sits near 36% of paid seats.1 The diagnostic surfaces which seats are working, which workflows fit them, and which ones need different tools or different change support.
1 Microsoft 365 Copilot active-use rate referenced from Microsoft disclosures + Stackmatix (April 2026). Pending Researcher verification per Day-13 deadline.
Two scopes
Founder's Edition
1 week, single function. Built for SMEs and founders who want a clear answer on one workflow.
1 week · single function
Standard
2 weeks, multi-function. Built for organizations evaluating where AI should land across two or more functions.
2 weeks · multi-function
What you get
By the end of the engagement you have a workflow map naming where AI can absorb the task, where AI can support the task without owning it, and where AI should not be near the task at all. Plus a change-effort estimate for each — because the technical lift and the human lift are usually different sizes.
Frameworks applied