$300K–$1M+
Potential cost of the wrong AI decision
40–70%
Typical reduction in wasted or misdirected spend
6–12 months
Typical window before the cost becomes visible
Case Studies
01
PROFESSIONAL SERVICES FIRM
$2.8M revenue
Unified Operational Focus
Three competing rollouts. One defined operating decision.
Decision clarity restored in one session
Situation
Leadership walked into a progress meeting and discovered that three departments had each selected their own AI tool without a shared decision framework.
Decision needed
The team wanted to debate which tools to keep, but the real decision was larger: what parts of the business should never be handed to a machine?
What changed
We answered that question in one session. Customer support stayed human for twelve months, leadership signed a one-page decision, and the arguing stopped.
Result
Two tools were canceled before renewal because they no longer fit the boundary. One stayed. The team stopped chasing vendors and started executing.
02
HEALTHCARE SERVICES GROUP
$4.2M Revenue
Internal Capability Maximized
A six-figure contract paused while the internal path became clear.
$300K+ retained through internal capability
Situation
Leadership was 72 hours from signing a six-figure AI contract, but the team was split and no one could say who owned the decision.
Decision needed
The team had spent weeks negotiating terms, but the real question was whether the business needed an outside vendor or a clearer internal owner.
What changed
We defined the problem, mapped the options, and assigned a clear owner. The team could handle 60% of the need internally once the decision was properly framed.
Result
More than $300K stayed in the business. The solution was built in-house, and the person responsible for the decision finally owned it clearly.
03
SPECIALTY MANUFACTURER
$3.1M Revenue
Resource Reallocation
A nine-month pilot without a finish line. Resolved in one week.
Leadership focus restored. Three future mistakes eliminated.
Situation
A promising AI pilot had been running for nine months, but no one had defined what success looked like, so the project kept consuming attention.
Decision needed
The tool was useful in a limited way, but no one had authority to end it. The decision had become harder because stopping felt like admitting the investment had failed.
What changed
We gave the pilot a 30-day window, clear success criteria, and a named owner. Once the criteria were visible, leadership made the call in one week.
Result
The team got its focus back and eliminated three future options that would have created bigger problems if the pilot had continued drifting.
Before you spend on tools, lock the decision.
Most leaders recognize at least one of these. The decision slowing your AI progress has a name. Let’s find it.