Strip the category language and these products are structured databases of AI systems plus the workflows that keep them current: intake, classification, approval, evidence, monitoring, reporting. That is genuinely valuable at scale and genuinely replicable in a spreadsheet below it. The buying mistake is treating the platform as the governance — vendors sell scaffolding, and scaffolding around an organization that has not assigned owners or classifications holds up nothing.
The vendor conversation, scripted
"Show ingestion from our actual stack" — manual-entry-only inventories die within a quarter.
"Walk one system from intake to audit-ready evidence" — the demo that exposes thin products.
"Which EU AI Act artifacts do you generate today, now that the August 2026 core regime applies?" — specifics or vapor.
"What do comparable deployments cost, all-in, year one?" — no public pricing means you anchor first.
"What happens to our records at contract exit?" — governance evidence held hostage is its own risk.
Named vendors, and why we have not listed them yet
The market has real players — the names recur in analyst coverage — but our network's rule is that named-vendor facts come from vendor pages with dates, and quote-based enterprise sites publish little to verify. Rather than break the rule for completeness, vendor panels will appear here as verifiable facts do. The capability checklist above is deliberately vendor-neutral so it works in any demo you take.
Category questions
Why does no AI governance vendor publish prices?
Because the category sells enterprise deployments — seats, integrations, jurisdictions — priced per deal. We refuse to launder analyst estimates into fake price tables, so this page names capabilities to demand instead of numbers to compare. When a vendor publishes real pricing, we will verify and list it with a date; until then, assume quote-based and negotiate accordingly.
Which capabilities actually matter in a governance platform?
Six cover most needs: a system inventory that ingests from where models actually live (cloud consoles, repos, MLOps stacks) rather than manual entry alone; risk classification mapped to the frameworks you face; workflow for approvals with named owners; evidence storage an auditor can navigate; monitoring hooks for drift and incidents; and reporting that regulators and customers accept. Demo against your messiest real system, not the vendor's sample data.
Build, buy, or spreadsheet?
Spreadsheet until it breaks — genuinely. A maintained inventory with owners and classifications is more governance than most organizations have. Buy when scale, jurisdictions, or audit cadence outgrow it. Build only if governance tooling is strategically yours to own; the compliance-calendar dates on our frameworks page are unforgiving deadlines to hit with a side project.