5-150 employees
You are large enough that informal handoffs are breaking, but not so large that an enterprise transformation team owns the problem.
A structured audit for owner-led and leadership-led companies that need to know where AI can create real capacity before they spend implementation money.
You are large enough that informal handoffs are breaking, but not so large that an enterprise transformation team owns the problem.
Discovery Day works when the people who know the business can name the bottlenecks and make implementation decisions.
Examples include slow intake, manual reporting, quote delays, rework, missed follow-up, or knowledge trapped in key employees.
Discovery Day is a filter. It is designed for companies that can act if the numbers support the investment.
Current-state map of where requests, decisions, data, and handoffs actually move.
Annual time-value, hours reclaimed, payback range, complexity, and confidence level.
What to build first, what to defer, and what should remain human-controlled.
Module options with expected effort, value, dependencies, and owner decisions.
Continuous, quarterly, or annual refresh paths so the system does not drift.
Discovery Day finds slow intake, manual status updates, and reporting rework. The first build focuses on the highest-confidence modules instead of boiling the ocean.
If the application is a fit, we schedule Discovery Day and collect the fee before discovery begins.