Canadian AI Transparency Evidence Registry

Teams that wait for final obligations may have to reconstruct model purpose, data/provenance decisions, user disclosures and change history retrospectively. Smaller firms rarely maintain this information in one auditable record.

Buyers are legal, privacy, responsible-AI and product leaders. The immediate value is readiness and reusable disclosure evidence, not a claim that a specific new Canadian rule already requires the product.

The signal is policy-direction rather than settled regulation, so the opportunity is strongest as an adaptable disclosure/evidence layer that can serve procurement, customers and multiple regimes.

Interview 15 Canadian AI vendors and regulated adopters. Test which disclosures customers/procurement already request, whether firms can answer consistently and whether a structured registry reduces enterprise-sales friction.

A narrower Canadian-first product could win through low setup cost, disclosure templates, bilingual/exportable reports and change tracking, then map the same evidence to EU/US customer requirements.

Help smaller organisations answer transparency questions consistently before procurement or regulatory expectations harden.

Proxy based — medium confidence.

- Paid test offer: Paid governance or audit pilot: C$10,000–C$30,000 £150–£600/month equivalent for smaller organisations; £1,000–£3,000/month equivalent for regulated/multi-team use. Position below enterprise governance suites; public enterprise comparators such as OneTrust demonstrate much higher annual budgets.

Evidence basis: AI Governance (OneTrust) (£12,042–£157,680 per instance per year) is the closest verified adjacent anchor used here. Its buyer, duration and scope are not assumed to be identical; implementation is separated where the opportunity requires integration, assurance or managed delivery.

Ask a named compliance, legal, procurement or policy owner to fund a paid test of Canadian AI Transparency Evidence Registry lasting 8–12 weeks, using an opening price of C$10,000–C$30,000 and covering 10 live AI systems, procurements or assessed outputs. Paid scope: A lightweight AI transparency registry that records system purpose, model/provider, data/provenance, user disclosure, limitations, human oversight and material changes, then generates audience-specific transparency statements. Charge by organisation or governed AI portfolio and compare the fee with current legal/policy review time and the cost of assembling assurance evidence. Measure evidence completeness, review hours, material issues found, false-negative rate and approval lead time. Continue only if review time falls by at least 25%, at least 90% of required evidence is complete and no critical issue is missed. Stop or reprice if the buyer will not pay for the scoped review, the workflow misses a critical issue or savings do not cover the fee.

Raise the score when Canadian policy moves from consultation to concrete disclosure expectations or enterprise buyers demand consistent AI transparency packs. Lower it if the consultation produces only voluntary guidance with little buyer pressure.