Decide
AI Strategy
Work out where AI actually pays in your business, and in what order to do it.
The problem
Most firms are being sold AI in pieces, by vendors with one thing to sell. The result is a pilot in one department that never connects to anything, and a board that cannot tell whether it worked. The question is not which tool, it is which parts of your operation carry enough repeated manual effort to be worth automating at all.
What we build
- Process and time mapping across the lead to cash workflow
- A scored opportunity register with effort, cost and payback per item
- A sequenced roadmap with dependencies
- A data readiness assessment
- A build or buy call per opportunity
- A governance and approval model for where humans stay in the loop
How the engagement runs
Three to five weeks. Interviews with the people doing the work, not just the executive team. Ends in a working session with your leadership, not a slide handover.
What you get
- The opportunity register
- The sequenced roadmap
- The data readiness findings
- A written recommendation on what not to build
Where this does not fit
If you already know the one process you want fixed and it is clearly worth fixing, skip this and go straight to a build. Strategy work is for when the field is wide and the order matters.
Related solutions
- Embedded AI LeadershipAn AI lead inside your business on a standing monthly commitment, accountable to your executive team.
- AI Solution ArchitectureThe technical design for how AI, your data and your existing systems fit together.
- Workflow AutomationThe deterministic plumbing underneath: systems connected, manual steps removed, processes redesigned around what the tooling can now do.
Start with a discovery call.
An hour on how your business runs, where the time goes, and whether AI is worth spending money on yet. You get our read either way.