AI PROCUREMENT GOVERNANCE
AI Procurement Governance
Independent assessment of AI vendors, contracts and platform decisions, so you buy against your requirements rather than against their demonstration.
The problem
AI vendor demonstrations are built to work. They run on curated data, on the happy path, in front of people who cannot easily probe them. The failure modes that will cost you money are the ones that never appear in a demo: performance on your data, cost at your volume, and what happens when you want to leave.<br/><br/>Selecting on a demonstration is how organisations end up locked into technology that underdelivers, with a contract that makes moving expensive.
Who We Support
Organisations mid-procurement You have a shortlist and need someone technical and impartial to pressure-test it. Boards approving significant AI spend You need assurance the recommendation in front of you survives scrutiny. Buyers running a competitive process You need requirements and evaluation criteria written by someone who knows where vendors hide weakness.
What we do
Requirements definition written from your operations, not from vendor feature lists<br/>Technical assessment of shortlisted platforms against those requirements<br/>Cost modelling at your real volumes, including the pricing that scales badly<br/>Lock-in and exit analysis: data portability, integration depth, switching cost<br/>Contract review focused on liability, model change, data rights and service levels<br/>Reference calls with comparable deployments, arranged and run by us<br/>Scored recommendation with the reasoning shown
What you get
Process mapping workshops with operational leads
Data availability and quality assessment per process
Benchmarking against comparable operational AI deployments
Technology landscape review for relevant use cases
Risk assessment including operational resilience and workforce impact
Written roadmap with implementation specifications
STAGE 2: DECIDE
Reliability after signature
We deliver a complete AI governance package
1. Audit your current AI usage.
2. Define your AI Usage Policy.
3. Deploy the Vendor Risk Toolkit.
4. Conduct staff alignment training.