AI Readiness Scorecard
$2,000–$5,000 · 1 week · Fixed scope, fixed deliverable
Most AI deployment failure is not a tooling problem. It is an insertion problem — capability deployed into workflows that were not designed to absorb it. The result is implementation friction, stalled pilots, unclear ownership, and deployment effort that does not convert into actual workflow change.
THE PROBLEM
Insertion versus adoption
AI capability has arrived. Deployment is active or imminent. But the friction is growing. Pilots stall. Adoption flatlines. Ownership is unclear. And the working assumption — that deployment effort is the constraint — keeps missing the real problem.
WHAT CHANGES IN 30 DAYS
You stop spreading deployment across workflows that are not ready
You know which AI initiatives should proceed, which should pause, what operating bottlenecks are blocking adoption, and who needs to own the fix before more rollout effort is wasted.
- You cut one or more AI initiatives that should not be moving yet
- You name the exact workflow or operating bottleneck blocking deployment
- You assign clear ownership for resolving that bottleneck
- You re-sequence rollout into a smaller number of higher-probability moves
SPECIFICALLY
One or more initiatives cut
That should not be moving yet
Exact bottleneck named
Workflow or operating constraint blocking deployment
Clear ownership assigned
For resolving each identified bottleneck
Rollout re-sequenced
Into a smaller number of higher-probability moves
WHAT IS DELIVERED
Five concrete outputs
Five-dimension readiness assessment
Across workflow structure, adoption sequencing, implementation governance, operating capacity, and organizational absorbability
Ranked map of deployment bottlenecks
With root cause identification for each constraint
Explicit owner map for each bottleneck
Clear accountability for resolving each identified constraint
Re-sequenced rollout plan
With explicit go/defer/cut decisions based on your readiness profile
Decision protocol for next 30–60 days
Framework for evaluating which deployment initiatives to pursue or pause
WHO THIS IS FOR
Companies that have AI capability available or incoming
Experiencing implementation friction, stalled pilots, inconsistent adoption, or unclear deployment ownership. The problem is structural, not technical.
ENTRY CONDITION
AI capability is being deployed or is about to be deployed
A decision-maker with authority over deployment sequencing and operating design is available. The problem is live, not speculative.
WHAT FOLLOWS
If the Scorecard confirms a specific deployment bottleneck requiring structural intervention, a Deployment Sequencing Sprint is available
A bounded three-week engagement that takes the highest-priority bottleneck identified in the Scorecard and works it to resolution, producing an executable deployment sequence, owner map, and decision protocol. Scope and pricing defined after diagnostic confirmation.