ASTRA
The AI journey, end to end
Not a readiness snapshot — the whole journey. Where you stand, which use cases are genuinely worth doing, what each would cost across the different ways you could run it, and the order to take them in. Assessed on your own operation, with no assumption about the technology you run.
What should we actually do about AI?
- Ambition & Strategy
- Skills & Capability
- Technology & Infrastructure
- Risk & Governance
- Analytics & Data Foundation
Five readiness dimensions, and a priority matrix that says what to do first.
Advisory first. A solution only if one is warranted.
The AI conversation almost always arrives as a product. Someone demonstrates something impressive, it plainly does something, and the question quietly changes from should we to which one. That is how organisations end up with three pilots and no operating change.
ASTRA runs in the other order. First, whether AI fits this business at all and in what form. Then structured design sessions with the people who actually do the work, to surface candidate use cases rather than receive them. Then a roadmap that is costed, sequenced and ranked by return — including the cases we recommend you do not pursue, and why.
And every surviving case is costed more than one way. The same use case priced on public cloud, on licences you may already hold, and on sovereign infrastructure you control — over three years. That is the comparison most AI conversations never put in front of a CFO, because most people in the room can only price one of the three.
ASTRA is stack-agnostic. It does not assume you run SAP, or any particular platform — the assessment is of your operation, your data and your organisation. Where you do run SAP, it reads that estate with the same depth VISTA does, and covers SAP’s own AI alongside everything else.
Four weeks. Structured design sessions with your people sit in the middle, so the use cases come from the operation rather than from us.
What you receive
Each deliverable is compiled from the stored analysis, with every figure traceable to the evidence behind it.
Readiness dashboard
The scored position across all five dimensions, on one page.
AI readiness audit report
The full assessment, evidenced, with the honest read on each dimension.
AI transformation roadmap
Costed and sequenced, dependencies named and the order defended.
Use case feasibility register
Every candidate scored on value, feasibility and data readiness — including the ones to drop.
Three phases, in this order.
Establish fit
Whether AI belongs in this business at all, and what kind. Some organisations should be told no, and we will tell them.
Surface the cases
Structured design sessions with the people who do the work, to find candidate use cases rather than be handed them.
Sequence and cost
A roadmap ranked by return, with what each case needs and what it takes to run it properly.
The test of an AI roadmap is whether the first item on it can start on Monday.
We would rather deliver a roadmap with three items on it than a strategy document with thirty.
Talk it through before you scope it.
A 45-minute session: what you are deciding, what evidence exists, and whether this is the right instrument for it.