Prioritized use case backlog. Kill list. ROI scenarios. Pilot blueprint. Governance model. 12-month roadmap. Leadership playbook.Each one answers a specific question. Each one drives a specific decision. Nothing exists to pad the output.
Most AI initiatives fail because they start with technology. Here's what works instead.
A ranked list of every AI opportunity in your business—scored by impact, feasibility, and strategic fit.
Ideas that look attractive but will drain resources—with clear reasoning for why each one fails the test.
Financial projections—with hard value, soft value, leading indicators, and break-even timelines. Assumptions stated explicitly.
A 30-60-90 day plan for testing top use cases—with success criteria, failure triggers, resource requirements, and even scale conditions.
A framework defining who owns AI decisions, how vendors get evaluated, how initiatives get approved, and what happens when key people leave.
A sequenced plan showing what to do now, next, and later—with milestones, dependencies, resource requirements, and decision points.
A plain-English guide covering what leaders need to understand about AI—and what they can safely ignore. Includes questions to ask vendors, red flags to watch, and decision frameworks.
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