We give you an AI deployment plan that’s scoped, sequenced, and priced, built from your team’s current stage; whether you’re starting from scratch or AI is already part of your work.
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We build roadmaps for execution. Your engineers work alongside ours from week one, and the code stays in your repositories.
We measure each workflow’s current cost against what the AI version would cost to run, so anything that is not profitable gets cut before the build starts.
You get:
• A true cost figure for how the work runs today
• A forecast of what running it on AI would actually cost
• Inefficient use cases dropped before development starts
We recommend starting every AI project with a round of stakeholder interviews. We can run that process for you, or hand over guidelines for the insights you’ll need, then match each use case to the type of solution it requires.
You get:
• First-hand observation of how teams work today
• A clear read on where friction actually sits
• Each opportunity matched to the right build approach
We define what the model can read and who approves what, and classify every use case against the EU AI Act risk tiers before counsel sees it.
You get:
• Clear boundaries on data access and sign-off
• A risk rating ready for your lawyers
• A record of exactly which steps need a human check
We perform and provide you with a holistic pricing analysis across available models and alternative non-AI solutions.
You get:
• A clear call on licensing versus building in-house
• The real running cost behind that call
• More cost-effective alternatives flagged when they exist
We build the shared context, skills library, and connector layer that each new use case draws on, so you’re ensured a compounding return on your AI investment.
You get:
• Shared standards your brands and markets can reuse
• A structure that gets cheaper to extend over time
• Reusable building blocks instead of one-off setups per team