Advisory / GenAI Vendors

GenAI Vendor Services 2026

AI platform commitments, multi model RFPs, token pricing strategy, and indemnity clauses. Buyer side only across OpenAI, Google Gemini, and Microsoft Copilot.

MultiModel RFPs Run

TokenPricing Strategy

When we help

Three moments we step in

Scenario 01

AI platform commitment

Procurement is asked to commit to a multi year AI platform deal. You want an independent view on commitment shape, ramp, and exit terms.

Scenario 02

Multi model RFP

An RFP across OpenAI, Google Gemini, and Microsoft Copilot. You want benchmarked pricing and a model independent decision framework.

Scenario 03

Token pricing

Token cost is climbing faster than usage. You want a pricing strategy that anchors the run rate before scaling AI workloads further.

How we help

Four phase buyer side procedure

Phase 01

Scope and baseline

Workload baseline, model coverage, token consumption, and current commitment posture across the vendors in scope.

Phase 02

RFP build

Multi model RFP run. Pricing, terms, indemnity, and data clauses normalized to a single decision grid.

Phase 03

Negotiation

Commitment shape, ramp, and exit negotiated. Token price floor secured. Bundle pressure unwound from underlying platform deals.

Phase 04

Close and governance

Side letter signed. Indemnity and data protection clauses contained. Token consumption governance handed back to procurement.

Deliverables

What you get at close

AI platform cost model

Independent token and seat cost model over a one to three year commitment. Ramp and burn down quantified.

Multi model RFP grid

RFP across OpenAI, Google Gemini, and Microsoft Copilot normalized to a single decision grid.

Token pricing strategy

Token price floor, escalator cap, and unit pricing protection across the commitment term.

Indemnity and data clauses

Training data, output ownership, and indemnity scope reviewed and negotiated against publisher template.

Side letter at close

Signed instrument locking pricing, indemnity, and exit clauses across the commitment term.

Executive briefing

CFO and audit committee summary of commitment, cost trajectory, and residual risk.

Outcome

What changes after we engage

25 to 50%

Off opening
token quote

Models on the
RFP grid

100%

Independent of
vendor channel

Indemnity clauses
left unchallenged

48hr

Engagement
opening time

Engagement model

Two ways to engage

Pick a Fixed Fee engagement for a single AI platform commitment or RFP. Pick Vendor Shield for continuous defense across the GenAI vendor stack and adjacent platform deals.

Model it first with our AI contract risk scorer.

Option A

Fixed Fee Engagement

Scope

Single AI platform commitment or multi model RFP. Fixed scope from intake through close.

Timeline

6 to 10 weeks typical. Same week start once scope is signed.

Pricing

Fixed fee. Quoted on scope. No hourly billing.

Best for

Live AI platform commitment or multi model RFP with a defined deadline.

Option B

Vendor Shield

Scope

Continuous GenAI defense. Token monitoring, indemnity review, standing buyer side counsel across the stack.

Timeline

12 to 24 month subscription. Renews annually.

Pricing

Annual subscription. Quoted on commitment size.

Best for

Estates running multi vendor GenAI strategy across application teams and procurement.

Vendor Shield detail →

“

The vendor opened with a commitment that doubled token cost over three years. Redress modeled the multi model alternatives and closed the commitment at a token price the CFO could defend.

VP Procurement, Fortune 500 financial services

AI platform commitment

Your next AI motion is an opportunity

Token commitment up for sign off. Multi model RFP running. Indemnity clause unresolved. We start where you are. Run our free Claude enterprise tools to model seat and token cost before you commit. See the multi cloud leverage strategy that sits behind every hyperscaler commit.

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