Make enterprise AI spend measurable, attributable, and governable.
A focused AI Value Governance sprint for Canadian enterprise and regulated-operation teams moving from AI experimentation to controlled execution.
Verify in 5 minutes: Run sourcea-boot eval → BOOT_REPORT.json on disk · Public GitHub repo
Problem
Canadian enterprises need AI spend visibility before AI autonomy scales.
Banks, insurers, fintechs, professional-service firms, and regulated operators are moving beyond copilots. The operational question is now measurement, governance, value attribution, and controlled execution.
Spend visibility
AI costs can spread across teams, tools, vendors, agents, retries, and hidden workflow loops.
Governed execution
Policies need to become operating controls that guide what systems can do before execution occurs.
Board-ready evidence
Leadership needs clear visibility into value created, risk reduced, waste detected, and controls applied.
Sprint phases
Canada AI Value Governance Sprint
A four-phase sprint scoped to Canadian entity boundaries, provincial privacy obligations, and regulated-sector AI governance — not a generic control-plane template.
Regulatory
Canadian regulatory hooks
Built for teams that must connect AI spend governance to Canadian privacy, financial-sector guidance, and emerging federal AI law — without claiming certification status.
Privacy & consent
PIPEDA — purpose limitation and accountability for AI systems processing personal information.
Quebec Law 25 — transparency, impact assessment triggers, and automated-decision governance.
Financial & federal AI
OSFI E-23 — model risk and third-party AI usage expectations for FRFI institutions.
AIDA readiness — harm mitigation, monitoring, and record-keeping patterns for high-impact AI systems.
Evidence
Proof on disk
Canada SKU is separated from the UK control-plane page — distinct sprint phases, regulatory language, and canonical domain.
| Scope | Canadian entity · provincial privacy · OSFI-aligned AI governance |
|---|---|
| Attribution | Token spend → business units · regulated workflows · board KPIs |
| Controls | Policy-as-code routing · approval ladders · escalation paths |
| Evidence | Executive dashboard blueprint · 30/60/90 implementation plan |
| Canonical route | sourcea.ca/ai-value-governance · contract@sourcea.ca |
Illustrative — client data flows produced during sprint intake.
Procurement pack — ISO 42001 mapping, data handling, reference pilot structure (educational maps · not certification).
Deliverables
Sprint deliverables
Designed for Canadian regulated operations and enterprise teams that need a practical first system, not a research memo.
AI Usage Map
Inventory models, copilots, agents, internal tools, workflows, and current spend surfaces.
Cost-to-Value Taxonomy
Define how AI usage maps to teams, workflows, KPIs, savings, revenue support, and risk reduction.
Governance Rules
Policy-as-code control requirements for routing, approval, escalation, optimization, and reporting.
Dashboard Blueprint
Executive and operator views for spend, usage, value, variance, and leakage.
Implementation Plan
30/60/90-day roadmap with data sources, owners, integrations, and proof milestones.
Partner Path
Optional support for internal platform, vendor review, or proof-of-concept design.
Fit
Who this is for
Built for AI, data, architecture, finance, transformation, risk, and operations leaders who need to make AI usage measurable and governable.
Start with a focused diagnostic
SourceA Canada can support a practical AI spend/value control sprint for teams that need visibility before larger AI autonomy expands.
Suggested path: sourcea.ca/ai-value-governance. This page describes an independent capability offer. It does not imply endorsement by, partnership with, or client status with any named financial institution unless separately stated in a signed agreement.
Canadian procurement teams: start with a scoped sprint — domain-correct contact on every CTA.
Book an AI Value Governance Sprint