Enforce AI policy.
See what is happening.
Prove it to your auditor.
Mandate is a Canadian-built control plane that sits between your people and every AI provider they use. It enforces your configured policies at the point of use and records every decision automatically.
Questions your current tools cannot answer.
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Can you name the last time sensitive data entered ChatGPT, and what your organization did about it?
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Can you show an auditor a structured record of what your AI policy actually enforced this quarter?
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A region label is not a legal jurisdiction. Auditors and counsel are starting to ask which one your vendor actually sits under.
18%
of Canadian organizations have systems in place to govern AI across everyday operations.
IBM Institute for Business Value · May 2026
75%
of Canadian workers using AI rely on unsanctioned, consumer-grade tools rather than enterprise-approved solutions.
IBM Institute for Business Value · September 2025
57%
of enterprise employees have entered high-risk information into publicly available AI assistants.
TELUS Digital · 2025
For every request
One audit event. Hash-chained. Verifiable.
Every mediated AI request produces one structured audit event and one usage event. Joined by correlation id. SHA-256 linked to the row before. Signed checkpoints anchor the trail. Your auditor verifies the export without Mandate tooling.
- User
- j.smith@legalfirm.ca
- Tool
- ChatGPT (chat.openai.com)
- Triggered
- SIN pattern · rule SENSITIVE-DATA-001
- Action
- Redact: 3 fields removed
- Timestamp
- May 5 2026, 09:04:37 EDT
- Correlation
- a2f7·9d3e·b1c4·8a00
- Hash
- sha256:3f9a·…·b712
What "chain verified" means
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Per-row hash chain
Each event is SHA-256 linked to the one before it. Alter, delete, or insert any record and the chain breaks.
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Signed checkpoints
Periodic Ed25519-signed checkpoints with Merkle roots anchor the trail. Public keys travel with the export.
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Independent verification
The export alone is enough to verify. No Mandate tooling required. How to verify it yourself →
How Mandate works
One policy engine. Every request evaluated and recorded.
The policy engine sits inline between your users and every AI provider. The decision (allow, warn, redact, or block) happens at the connection layer, before anything reaches the provider.
Your users & apps
browser
API · app
Mandate Policy Engine
hash-chained audit event written on every decision
AI providers
ChatGPT · Claude
Copilot · others
Capabilities
What Mandate puts in place
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Mediation layer
API gateway and network forward proxy connectors route every AI request through Mandate before it reaches any AI provider. No client software distributed to employees.
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Policy enforcement
Your configured rules apply at the point of use (allow, warn, redact, or block) based on sensitive data patterns, tool usage, and content classification.
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Tamper-evident audit trail
Structured audit records for every request: user, tool, policy rule, action, timestamp. Hash-chained and exportable. The record your auditor can actually verify.
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Canadian-hosted infrastructure
Infrastructure owned and operated under Canadian law. Not a region label on someone else’s cloud. Your counsel can evaluate which legal regimes can compel access to your audit data before you sign.
The pilot program
30 days. Written criteria. No ambiguity at day thirty.
One administrator. One afternoon. Nothing deployed to employees. Success criteria agreed in writing before day one. Real traffic. If the pilot doesn't meet your criteria, we'll tell you why.
Learn about the pilot-
Discovery conversation
30 minutes to understand your environment: AI tools in use, traffic flow, data types, and what success looks like. If Mandate isn’t the right fit, we’ll say so in that call.
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Kickoff and written criteria
Before day one: connector path, traffic scope, and specific measurable outcomes agreed in writing. No ambiguity about what success looks like.
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30 days on real traffic
Policy enforcement and audit logging live on routed traffic. Admin sees policy decisions and audit records from day one. We're available throughout for configuration questions.
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Day 31 evaluation
We evaluate against the agreed criteria. If met, we discuss a paid arrangement from day 31. If not, we tell you why. The criteria drive the conversation, not sales pressure.