Enterprise Procurement

Enterprise procurement for AI is a different beast than buying software usually is. Enterprise procurement involves multiple stakeholders, long evaluation periods, complex contracting, and extensive vendor due diligence. It's slow, but it exists for good reason: enterprises are managing risk at scale.

The procurement process typically starts with requirements definition. A business unit identifies a need: "We need to improve our customer service experience." They work with IT to draft a requirements specification. This document is detailed: "Must integrate with our CRM system, must maintain data within US data centers, must support 10,000 concurrent users, must comply with SOC 2, must have 99.9% uptime SLA, must provide API access, must support single sign-on." These requirements are non-trivial.

Next comes vendor identification and RFP (Request for Proposal). The procurement team identifies potential vendors and sends them the RFP. Vendors respond with proposals and pricing. The procurement team scores responses against the requirements.

Then comes evaluation. Security team does a security assessment of the vendor. Legal reviews the contract terms. Compliance checks regulatory alignment. IT assesses integration complexity. This phase can take months. Vendor questionnaires are extensive (hundreds of questions about security, disaster recovery, data handling, employee screening, etc.). Some vendors need to undergo detailed security audits.

Reference checking is standard. The procurement team calls existing customers of the vendor to ask "does this system actually work as promised?" Some vendors have reference customers in the same industry or company size who can speak to suitability.

Negotiation follows evaluation. Enterprise procurement teams negotiate contract terms extensively. They want: liability caps, SLA guarantees with financial penalties, data ownership clauses, exit clauses (what happens if you want to stop using this vendor), audit rights, support guarantees. Simple things vendors offer to consumers become complicated negotiation items.

Contracting can take months. Legal teams review multiple iterations. Both sides want to allocate risk appropriately. The vendor doesn't want unlimited liability for outages. The enterprise doesn't want to accept risk for something outside their control.

Only after all this does the actual purchase happen. For AI vendors especially, there are additional considerations: how will the vendor handle model updates, how will they manage data privacy, what's their approach to bias and fairness, do they have experience with regulated industries?

Many AI startups underestimate how time-consuming enterprise procurement is. A sales process that might take weeks for a consumer product can take a year for an enterprise. This requires patience, dedicated enterprise sales infrastructure, and willingness to customize your system to meet enterprise requirements.

There's also the budget cycle challenge. Enterprise budgets are typically allocated annually. If a procurement process runs 6-12 months, you need to align with the budget cycle or your purchase gets deferred to the next year.