Token economics, data residency, indemnity, rate card lock, and the renewal clauses that decide the long term cost of every enterprise AI vendor contract. Buyer side. Independent.
Enterprise AI contracts are being signed faster than any software category in memory, on paper the legal team has never seen before. Ask all twenty questions before signature and score yourself at the bottom: eighteen or more answered yes is negotiating posture; under ten means pause the signature.
The token price at signature means nothing if the vendor controls the price book at every anniversary.
A model trained on your prompts has absorbed your business. These clauses outlive the contract.
The default in most AI contracts is no indemnity at all. Everything here is negotiated or absent.
The vendor default is no latency commitment and a generic throughput ceiling.
The renewal price lock is the highest value clause in any AI contract. Without it, the vendor sets year two unilaterally.
Count your ticks above.
We benchmark AI vendor terms across published engagements with BBVA, Lowe’s, and leading banks, and negotiate the twenty clauses above before signature. Fixed fee or contingency: no savings, no fee. The full playbook is in the enterprise AI procurement strategy paper and the AI platform contract negotiation paper.
Contact Us Score your negotiation posture →The cost of an enterprise AI contract in year two is not the cost in year one. The price stays the same. The token consumption triples. The contract decides who absorbs it.
A buyer side playbook for AI platform contract negotiation. Token economics, rate card lock, and indemnity language.
Independent. Buyer side. Written for CIOs, CFOs, and procurement leaders carrying enterprise software contracts. No vendor influence. No sales kickback.
Open the white paper in your browser. Corporate email only.
Open the Paper →Independent. Buyer side. We have advised on 70 enterprise AI vendor contracts in the last twelve months.
Buyer side GenAI insight. No vendor influence. Read in five minutes.