Deploying GPT across your enterprise? Do not sign vendor agreements without understanding the commercial, legal, and operational risks. We help you build a defensible AI procurement strategy and negotiate contracts that protect your data, budget, and flexibility.
We do not partner with AI vendors, sell licences, or take vendor incentives. Every recommendation is built to protect your budget, your data, and your flexibility.
Objective analysis of enterprise AI platforms: capabilities, pricing structures, data handling policies, integration requirements, and long-term viability. No vendor bias, just facts.
We review AI vendor agreements for hidden risks: data usage rights, model training on your data, IP ownership, SLA gaps, liability limitations, and pricing escalation clauses. You know exactly what you are agreeing to.
Leverage-based negotiation strategies specific to AI vendors. We know what is negotiable, what benchmarks to use, and how to structure agreements that maintain flexibility as the market evolves.
Beyond individual deals, we help you establish procurement policies, vendor evaluation scorecards, and contract standards that scale across your organisation as AI adoption grows.
Ad-hoc AI purchases across departments create compliance chaos and budget overruns. We audit existing AI spend, consolidate vendor relationships, and renegotiate terms across the entire AI portfolio.
AI contracts contain unique data risks: model training on your inputs, IP ownership ambiguity, and output liability gaps. We review every clause through the lens of enterprise risk management and regulatory compliance.
Let us review your AI vendor agreements and show you exactly where the risk and savings are — with a no-obligation business case.
No commitment until you see a business case with projected savings. The entire onboarding process typically takes less than two weeks.
Mutual NDA to protect your confidential information before any data is shared. Standard process, typically same-day.
Confidential call to discuss your AI landscape, vendor evaluations, contract deadlines, and procurement challenges. No obligation.
Share your AI vendor agreements, proposals, and usage data. We review them under NDA and identify every risk and optimisation opportunity.
Detailed business case showing projected savings, risk reduction, and our fixed advisory fee — so you can see the ROI before you commit.
Once approved, we hit the ground running. Your AI advisory engagement kicks off immediately with a dedicated team.
No commitment. No cost until you see the business case.
We do not partner with AI vendors. We do not sell licences. We do not take incentives. We just help you stop overpaying.
No reseller conflicts. No vendor partnerships. No referral fees from OpenAI, Microsoft, Google, or Anthropic. Every recommendation is built entirely around your interests.
Our team includes former enterprise AI licensing specialists who know the tactics, tools, and technicalities from the inside. We have reviewed 60+ enterprise AI contracts across 15+ platforms.
500+ enterprise clients across 50+ countries trust us to protect their interests in the most complex licensing environments. We bring the same rigour to AI contracts that we bring to Oracle, SAP, and Microsoft.
Our engagements typically deliver 10-30x return on investment. Average savings of 35% on enterprise AI vendor deals. We save you more — significantly more — than we cost.
Real outcomes from real AI advisory engagements. Every case below started with a client facing AI vendor pressure — and ended with measurable savings and protected interests.
Identified critical IP risks in a $4M annual OpenAI agreement, negotiated explicit data protections, and reduced commitment by 40%.
Read case study →Separated Copilot from core EA renewal, negotiated annual right-sizing and capped escalation, avoiding $2.8M in unnecessary commitment over 3 years.
Read case study →Consolidated 14 separate departmental AI subscriptions into 3 enterprise agreements, reducing total AI spend by 38% while improving governance.
Read case study →Objective evaluation of Google Gemini vs competing platforms, identified $1.5M in hidden infrastructure costs, and structured a pilot-first agreement with exit protections.
Read case study →Built a centralised AI procurement framework with standardised evaluation criteria and contract templates, eliminating $3.5M in redundant departmental AI purchases.
Read case study →Oracle, Microsoft, SAP, Salesforce, IBM, Broadcom, AWS, and GenAI. Browse 500+ real-world outcomes across 9 vendor practices and 40+ countries.
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