Most organizations do not have an AI idea shortage. They have a prioritization problem. Dozens of teams want Claude, every demo looks promising, and the question landing on the CIO and CFO desk is not whether AI works but where it earns its place first and what it is worth. Answering that well is a decision-economics problem before it is a technology problem.
Merito AI Strategy and Roadmap exists to make that call defensible. We run value and opportunity discovery against real workflows, build a scored use-case portfolio across the surfaces in scope, model the business case for the candidates that matter, and sequence an adoption roadmap that finance can fund and delivery teams can actually execute. The output is a ranked plan with owners and funding gates, not a backlog of equally weighted ideas.
Scope is framed by the A through E engagement frameworks, which describe which Claude surfaces are in play, from the agentic CLI in developer workstations through packaged-application work to the non-developer workplace and the full enterprise composition. Naming the surfaces up front keeps the portfolio honest about where value is real and where the operating-model lift is heavy. When the plan is set, the work routes directly into Merito readiness, governance, rollout, and operations services instead of stopping at a slide.
When the roadmap is approved and the program needs governance, guardrails, and a readiness baseline before scale, Merito carries it into AI Readiness and Governance so funded use cases ship under controls leadership has already agreed to.