Licensing and procurement of solution services
Licensing sourced and structured for you, so spend matches what you actually deploy.
Overview
AI pricing is genuinely confusing. Licences, token consumption, reserved capacity, and support all bill differently, and the bill arrives after the decision. We make the number predictable before you commit to it.
What it covers
Fixed and variable, separated
Per-seat licensing behaves nothing like token consumption. We split the two in your model so a spike in usage does not look like a licensing problem, and a licensing renewal does not get blamed on the AI.
Consumption modelled against real usage
We estimate token spend from your actual document volumes and query patterns rather than a vendor calculator, then set budget alerts in Azure Cost Management before the first invoice, not after it.
Reservations and commitments
Where usage is steady enough to justify it, reserved capacity and Azure commitments cut the rate meaningfully. Where it is not, we say so rather than locking you into a discount you cannot use.
Procurement that matches delivery
Purchasing sequenced to the implementation plan, so you are not paying for capacity months before anything runs on it — the most common and most avoidable form of AI overspend.
How the engagement runs
A defined shape, so you know what happens next and what you get at each stage.
What you spend today across Microsoft licensing and Azure consumption, and which of it is attributable to work that is actually live.
A cost model for the proposed work with low, expected, and high usage scenarios, written so a finance lead can interrogate it without a technical translator.
We source the licensing, structure the agreement, and align the purchase timing with the delivery milestones.
What you end up with
A cost you can defend in a budget conversation, and a purchase schedule that tracks the work instead of preceding it.
Start with a free AI readiness assessment
Tell us the workflow. We'll tell you what AI can do with it.