Most AI projects stall because the layer underneath was never designed, not because the technology failed. Six honest statements will tell you which stage to start at — and whether AI is a fair next step for you right now.
Answer the six statements above and we will tell you which stage of the sequence to start at — and whether AI is a fair next step or a distraction right now.
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The score is not a grade. It tells you where the binding constraint sits, so the next pound you spend goes somewhere it can work.
Automating now would harden the current process into software. The value in the next six months comes from clarity rather than technology: documenting how work moves, naming owners, and agreeing what each system is for.
Start at: Process or System
The pieces exist but do not talk to each other, so people are the integration layer. Master data, connected platforms and reporting will pay back faster and more reliably than an AI pilot would.
Start at: Data, Integration or Intelligence
Clean data, defined ownership and connected systems are in place, which is exactly the ground AI compounds on. Pick the highest-volume workflow, agree the approval points first, and measure against a baseline you capture beforehand.
Start at: Automation
Wherever you land, the sequence is the same — Process, System, Data, Integration, Intelligence, Automation
Bring us the part of the business that consumes the most management attention. We will map how it really works, show you where it costs you, and give you a sequenced plan to fix it.
Prefer to start smaller? We also run a single-process review on one workflow of your choosing.