AI vendors price on their growth story and lock you in before the market settles. We step in when the enterprise agreement lands, when credits get sized on promises, and when a three year AI commit deserves three years of scrutiny.
Our GenAI vendor practice centers on the GenAI contract advisory service: OpenAI, Anthropic, Microsoft Copilot, and Gemini agreements sized from adoption evidence and negotiated with price protection, flexibility, and exit terms in a market that reprices quarterly, supported by benchmarking and the GenAI knowledge hub.
Our GenAI vendor engagements run for one all inclusive fixed price or on contingency at 25% of the savings we deliver.
OpenAI, Anthropic, Copilot, and Gemini agreements negotiated from usage evidence: flexibility, price protection, and exit terms in a repricing market. A published case saved 28 percent.
See the service →Your token, seat, and platform pricing measured against comparable AI agreements.
See the service →The pricing guides, negotiation plays, and vendor intelligence behind the practice.
See the service →Agreements, entitlements, usage, and spend mapped in the first two weeks.
Your quote against comparable closed deals for your size and industry.
Target position, concession plan, and timing built around the vendor’s fiscal calendar.
We run the sequence with your team through to signature and document the close.
BBVA avoided a three year AI lock in and saved 28 percent on its OpenAI engagement.
Leading US bank saved $2.5M through GPT pricing benchmarking.
Lowe's achieved $1.2M in AI cost avoidance through commercial advisory.
European insurance group re scoped its AI engagement for 30 percent savings.
Most AI procurement advice comes from vendors' own partner ecosystems, in the middle of a land grab. We built Redress the other way.
No reseller agreements, no referral fees, no stake in any AI vendor winning your stack. The recommendation follows the evidence.
Consumption commitments and seat deals negotiated across every enterprise vendor, applied to a market where those two models collided.
Published case studies: BBVA avoiding a three year lock in with 28 percent savings, a European insurance group saving 30 percent, and Azure OpenAI flexibility won for a financial institution.
All inclusive fixed fees with first deliverables in 10 business days, or contingency at 25% of the savings we deliver: you keep 75%, and if we save you nothing, you pay nothing.
Very. The market has no settled list price, which means benchmarks from real closed deals move numbers fast. See the published cases above.
From measured token and seat usage over a real pilot, never from the vendor's adoption forecast. Short terms beat big discounts while the market moves.
Model portability, data rights, and renewal pricing. All three are negotiable before signature and expensive after.
Completely. No vendor money, no reseller margin. Your side only.
OpenAI, Anthropic, Microsoft Copilot and Azure OpenAI, Google Gemini and Vertex AI, and the surrounding platform and credit structures, negotiated as one position where they overlap.
Fixed price, all inclusive, or contingency at 25% of the savings we deliver: you keep 75%, and if we save you nothing, you pay nothing.
No. We advise and prepare, and your team keeps the chair and all vendor communications. Every proposal gets a written assessment before you respond.
Usage and adoption data, current agreements and proposals, and the AI roadmap context. First deliverables land within 10 business days of complete data.
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.
One letter a month. Negotiation moves, audit signals, and price book shifts.