Most AI budgets get spread across pilots that never touch a P&L. We map your workflows, score every AI opportunity by ROI, and hand you a prioritized implementation plan — use-case-level ROI estimates, not vendor decks.
Most companies are past the experimentation phase and still can't answer the basic question: which AI investments will actually move a P&L? Pilots multiply, vendors pitch, and budget gets allocated on enthusiasm instead of evidence. Twelve months later, nobody can say what worked.
A diagnostic fixes the sequencing problem. Before you commit budget to building anything, you find out which workflows carry real ROI, which need better data first, and which aren't worth automating at all. Then you invest in that order.
Everything is scored, sequenced, and assigned. You leave with a plan your CFO can pressure-test and your teams can execute.
We sit with your teams, map how work actually flows, and score every AI opportunity on impact, effort, and risk. Each use case gets its own ROI estimate built from your numbers — hours, volumes, error rates — not industry benchmarks borrowed from a vendor deck.
Scope a diagnostic →Not everything deserves a build. For each opportunity we make the call: build it now, buy an existing tool, or wait until the data or the models are ready. You avoid the expensive mistake of building what you should have bought — or automating a workflow that wasn't worth it.
A working session with your leadership team, not a deck dropped in an inbox. We walk through the priorities, the numbers behind them, and the sequence — and take the hard questions in the room, so the plan survives contact with your CFO.
Two to four weeks, fixed scope, and a plan ranked by ROI. Book a scoping call and we'll tell you straight whether a diagnostic fits.
AI deployment for enterprise marketing teams.