Microsoft proposes Copilot seat counts from projected adoption; the usage dashboards report the real one. We right size the seats to the evidence, capture the credits, and gate every expansion behind adoption that actually happened.
This engagement is bought by companies that committed to Copilot early and now hold the usage data: a meaningful share of paid seats inactive or barely used, a per user premium stacking on top of existing Microsoft 365 licensing, and an account team proposing expansion before the current population has adopted.
It also serves organizations at the front of the decision, facing Copilot pressure inside an EA renewal and wanting the commitment structured around pilots, adoption thresholds, and price holds rather than a broad seat count justified by a demo. Either way, the currency of the conversation is your usage evidence.
Copilot spend goes wrong in ways that are fully visible in the admin data, once someone looks:
Every one of these resolves the same way: adoption evidence first, then the commercial moves. The engagement runs that sequence.
The engagement follows the four workstreams of our Copilot optimization statement of work. The adoption picture is built from usage data, the seat count is right sized to demonstrated need, the credit and pricing position is optimized, and expansion terms are gated so growth is earned by adoption.
| Deliverable | What it contains |
|---|---|
| Adoption evidence report | The usage segmented seat population, the cost of inactive and low use seats, and the verified contractual position. |
| Seat recommendation report | The target seat count, segment level licensing recommendations, savings quantification, and the reduction path against enrollment dates. |
| Commercial optimization summary | Target pricing, applicable credits and funding programs, and the concession package to pursue. |
| Expansion gating term sheet | Adoption thresholds, pilot structures with defined success criteria, and price holds on future seats. |
| Proposal assessments and briefs | Written assessments of Microsoft proposals and enrollment language, with preparation before every key meeting. |
The Copilot conversation is currently the most one sided negotiation in enterprise software: enormous vendor pressure, thin usage history, and pricing with no established market discipline. Usage evidence flips it. A seat population segmented by actual adoption is an argument no account team narrative survives.
Right sizing is not anti AI. Concentrating spend on the segments where Copilot demonstrably delivers, funding enablement where the barrier is training rather than value, and cutting seats that are simply inactive makes the AI program more defensible, not less.
We hold no position in the outcome: no reseller margin on Copilot seats, no Microsoft funding, no adoption services revenue waiting behind a bigger rollout. When a segment genuinely earns full Copilot, the recommendation says so, with the usage data attached.
One fixed, all inclusive fee covers all four workstreams, up to four advisory calls, and email support through the term, with the adoption baseline inside 10 business days so the evidence exists before the next Microsoft meeting.
AI and Microsoft licensing outcomes on the record.
A bank structured its Microsoft 365 Copilot rollout around measured adoption rather than a blanket commitment.
✓ Published case studyA San Francisco financial institution gained strategic flexibility and cut projected Azure OpenAI spend.
✓ Published case studyA Fortune 500 company cut its Microsoft EA renewal 20 percent with every SKU category negotiated as a position.
✓ Published case studyA UK financial services firm secured 35 percent savings and contract flexibility at its EA renewal.
The usage data already answers it. Copilot dashboards and Microsoft 365 admin reporting segment the population from daily active users to fully inactive seats, and that segmentation, by department and role, is the first deliverable of the engagement.
They come out of the commitment on the reduction path the enrollment permits, or they convert into enablement targets where the barrier is training rather than value. The distinction matters and the data shows which is which.
No. Segments split between full Copilot, lower cost options like Copilot Chat, and no AI license at all. Mapping segments to the right level is where most of the savings live, because the per user premium stacks on top of the underlying suite.
Microsoft runs credits, funding programs, and promotional pricing around Copilot adoption that most customers never claim because they never ask as a negotiating position. The commercial workstream identifies what applies to your situation and prices the package to pursue.
Contract terms that tie seat growth to measured adoption thresholds, pilots with defined success criteria, and price holds on future seats. They convert Microsoft's projected adoption story into a pay for what happens structure.
Copilot is now a standard pressure point inside EA renewals, which is exactly where unprepared clients over commit. The seat evidence and gating terms from this engagement slot directly into the renewal negotiation.
Yes, especially with adoption evidence and benchmarks in hand. Unit pricing, discount level, credits, and gating terms all move, and the engagement benchmarks your position against comparable agreements.
The adoption evidence report typically lands within 10 business days of complete usage data, with the seat recommendation and commercial package following in the next cycle. Fixed price, all inclusive.
The seat population segmented by real usage, credits captured, and expansion gated behind thresholds. That is an AI position, not an AI bet.
One letter a month. Negotiation moves, audit signals, and price book shifts.