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CAPABILITY

AI governance without theatre.

Not policy decks. Operational guardrails. Most firms sell AI governance as a binder no workflow enforces. Prior Signal builds the controls into the work — so you can adopt AI and still explain, defend, and correct how it is used.

Operational guardrails, not a binder.

AI use-case inventory
Data-flow map
Human-review points
Evidence & citation requirements
Prohibited uses
Privacy constraints (PIPEDA-aware)
Vendor-risk questions
Monitoring plan
Incident-response checklist
Board / executive briefing

Theatre fails the audit. Guardrails survive it.

The point of governance is the moment someone checks: a regulator, a board, a journalist, opposing counsel. A policy statement that the system does not enforce will not survive that moment. Controls wired into the workflow — with evidence requirements and a clear record of what the AI used — will.

It connects directly to how we build trusted agents and to an adoption readiness sprint.

FREQUENTLY ASKED

Common questions.

Isn’t AI governance just a policy document?

A policy deck that no workflow enforces is theatre. We deliver operational guardrails: a use-case inventory, data-flow maps, named human-review points, citation requirements, prohibited uses, and an incident-response checklist — controls that live in the work, not a binder on a shelf.

How does this connect to privacy and Canadian requirements?

Governance starts from where personal information flows and what PIPEDA and your sector require. We map those constraints into the system design, not around it — so the guardrails hold under scrutiny.

Who is this for?

Boards, executives, and operating teams that need to deploy AI and be able to explain and defend how it is used — especially in regulated, public-facing, or public-sector-adjacent environments.

Do you provide legal advice?

No. We provide operational governance and risk analysis to inform your counsel and leadership. Legal advice remains with your lawyers.

Governance you can put in front of a board.

Start with a scoped review of your AI use cases, data flows, and the controls that have to hold.