AI has to earn its place
The AI Workflow Sprint is a contained specialist engagement for companies that already understand the work, the owner, the information, the risks, and what acceptable performance means.
Discuss a workflow sprintStarting investment: $25,000.
A specialist lane
A workflow is ready when leadership can name the objective, accountable owner, permitted information, consequence of failure, human checkpoints, and tests that determine whether the change is usable.
If those facts are still unclear—or the problem crosses the company rather than one workflow—the Executive Business Diagnostic is the right first step.
The sprint
The engagement includes process mapping, information design, safeguards, configuration or narrow implementation, testing, training, and handoff.
Confirm the objective, owner, current workflow, approved information, risk boundary, and acceptance tests.
Map the human steps, information flow, review points, exceptions, and smallest useful implementation.
Configure the contained workflow and test normal, difficult, incomplete, and failure cases with accountable users.
Document ownership, train the team, observe real use, and leave a maintainable operating path.
Human-controlled by design
AI does not become the strategy, workflow owner, or final judge.
Only approved sources enter the workflow; unrelated private data stays out.
Exceptions, escalation, and manual fallback are defined before launch.
The work is reviewed in normal operations, not judged by the demo.
Start with workflow truth
Bring the current work, accountable owner, information boundaries, risks, and acceptance tests. If the company-level constraint is still unclear, begin with the diagnostic.
