1. Decide which Copilot you are actually buying
Copilot Chat, Microsoft 365 Copilot, included agents + custom-built agents, and the newer Cowork-style capabilities sit at very different price points and serve different populations. A large share of value for knowledge workers who mostly summarise and draft can be met below the full per-seat tier - so the segmentation question comes before the volume question.
Also, what is the likely evolution of this segmentation in future going to be - so you can forecast the commercial vs ROI impact of becoming "Frontier" even if that's not what Day 1 looks like.
2. Fix data governance first
Copilot inherits your permissions model. Over-shared SharePoint sites, stale group access and unlabelled sensitive content become discoverable the moment you switch it on. This is the single most common reason pilots stall.
Audit and remediate over-permissive sharing links and site access
Apply sensitivity labels to the content that matters most
Retire or archive stale sites and duplicated document stores
Confirm retention and eDiscovery cover Copilot interactions
3. Build the cost model before the pilot ends
Consumption-based agent usage and per-seat licensing behave very differently on a budget line. Model both: a per-user run rate for the seats, plus a metered forecast for agents with an upper bound you are willing to defend. Attach measurement to it - time saved per role, adoption depth, tickets avoided - so renewal is a decision backed by evidence.
In addition to hard financial / ROI metrics, consider what softer / observable metrics make sense in your business that AI will enable. Time to value, new innovation, new ways of working, cultural & accessibility improvements all play a significant impact on user adoption when properly understood, communicated, explored and encouraged.
4. Choose the population deliberately
Readiness is uneven by function. Legal, finance, sales operations and customer service teams with heavy document and email load usually show returns fastest. Rolling out evenly across the whole organisation dilutes the signal and inflates the cost.
Wall to wall Copilot and Agents may make sense at the board level, but there will be significant variation in how that translates to different personas and priorities across the enterprise. This is why the journey & end game is just as important as the signing event and initial publicity.
5. Negotiate the terms, not just the price
AI SKUs and the associated token-based consumption economics are the newest and least settled part of Microsoft's commercial model, which is exactly where flexibility is worth more than headline discount.
Ramped seat commitments that follow your adoption curve may make sense
The right to reduce or reallocate seats at defined checkpoints
Price protection and clarity on how new AI capability is licensed mid-term
Funding, enablement and success support written into the agreement
A short readiness test
If you can answer these five in a single meeting - which Copilot, whose data, which people, what it costs, and what happens if adoption disappoints - you are ready to buy. If you cannot, the gap is cheaper to close now than to renegotiate later.