Advisory
Technology advisory on AI products and internal AI flows
Independent direction before you commit budget. We take no vendor margin and resell nothing, so the recommendation follows the business case. That includes the times the honest answer is to build less than you were planning, or nothing at all.
What this covers
Opportunity assessment
Going through your processes and products to find where AI actually pays back, ranked by effort against return.
Feasibility and cost modelling
What a given system would genuinely cost to build and to run, including the human time around it that usually gets left out.
Data readiness review
Whether your data can support what you want to do, and what has to change first if it cannot.
Internal AI workflow design
How your own teams should be using AI day to day, which tools are worth standardising on, and where the real productivity is.
Governance, risk and compliance
Approval paths, audit trails, data handling and the controls your sector expects, designed before anything ships.
How we approach it
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01
Start from the numbers
What the current process costs, how often it runs, and where the errors land. Opinions about AI come after that.
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02
Rank by return, not by novelty
The most interesting use of AI is rarely the most valuable one. We separate the two explicitly.
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03
Stay independent
We take no vendor margin and resell no platform, so the recommendation is not shaped by what we would rather sell you.
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04
Leave you something you can act on
A written recommendation with costs and sequencing, usable whether or not you build it with us.
What you end up with
Every engagement is scoped to an agreed outcome and quoted as a fixed fee, so you know the cost before work starts.
- A prioritised register of opportunities with effort and return
- Honest build and run costs for the options worth considering
- A clear read on whether your data supports the plan
- A view on how your teams should use AI internally
- A written recommendation you can act on with anyone
