Shadow-AI Inventory
A complete map of every AI tool currently in use across the organization, including AI embedded in existing software your team has not formally approved. Built using DeployLabs discovery tooling.
A two-to-three-week operational readiness assessment. Shadow-AI inventory, PIPEDA-principle readiness map, AI acceptable-use policy, and a prioritized remediation roadmap.
$3,500 to $7,500 CAD·Fixed fee by staff count. 2-3 week engagement.
30-minute scoping call first. We confirm fit before you commit.
ChatGPT, Copilot, Gemini, Notion AI, and AI embedded inside your CRM, scheduling, HR, and finance platforms are processing your data every week. Whether those flows are inside or outside the PIPEDA perimeter is the question most teams have not asked out loud.
The audit maps what AI you are actually using, identifies where your operational gaps sit against the PIPEDA framework, drafts the policy you should have, and prioritizes the fixes. It is the way to find out before a complaint does.
You leave the engagement with a shadow-AI inventory, a PIPEDA-principle readiness map, an AI acceptable-use policy you own, and a prioritized remediation roadmap.
A complete map of every AI tool currently in use across the organization, including AI embedded in existing software your team has not formally approved. Built using DeployLabs discovery tooling.
An operational gap assessment against the ten PIPEDA principles, framed as a published operational framework, not a legal opinion on your specific obligations or liability.
A templated, jurisdiction-specific AI policy your organization adopts and owns. Includes prompt handling rules, approved tools, data-classification guidance, and escalation paths.
A prioritized list of fixes ranked by cost and impact, with the high-confidence items first. Built to be the natural gateway into a DeployLabs deployment engagement if you choose to act on it.
A focused two-to-three-week engagement that starts with your current operational reality and ends with a remediation roadmap you can act on.
A 60-minute scoping session with leadership. We confirm staff count, identify the people closest to current AI usage, and align on the data sources we can review during the inventory phase.
Two weeks of operational work. Shadow-AI inventory, readiness mapping against the ten PIPEDA principles, policy drafting, and remediation prioritization. We send a midpoint check-in so you see progress before the briefing.
A 90-minute readout with leadership. We walk through the four deliverables, the prioritization rationale, and the optional next steps. The report is yours at the end of the call.
Solo operators and small teams. Shadow-AI inventory + readiness map + policy + remediation roadmap.
Growing teams with multiple departments. Same four deliverables, deeper department-by-department mapping.
Mid-size organizations with embedded AI across functions. Full operational assessment plus remediation scoping.
BDC LIFT financing at 2.25 percent is available for qualifying Canadian businesses. We can walk you through it on the call.
ChatGPT, Copilot, Gemini, Notion AI, and embedded tools in your CRM, scheduling, and HR platforms are operating on your data. Most teams discover the footprint is two to three times what they reported.
Customer records, financial information, employee data, and legal documents are processed by AI tools every week. Whether those flows are inside or outside the PIPEDA perimeter is the question.
PIPEDA complaints to the OPC were up 109 percent year-over-year in 2025-26. Bill C-36 introduces penalties up to the greater of C$25 million or 5 percent of gross global revenue. The audit is the way to find out where you stand before a regulator does.
Federal PIPEDA covers most Ontario private-sector commercial activity. Quebec, Alberta, and BC have parallel frameworks (Law 25, PIPA, PIPA respectively). The audit maps the framework that applies to your operation.
DeployLabs builds autonomous AI business engines for Canadian businesses. The audit is a productized service designed for the same reason the rest of our work is designed: the gap between what is technically possible and what is operationally ready is where most AI projects fail.
The output is practical. What AI you are running, where your operational gaps sit against PIPEDA, what policy you need, and what to fix first. Methodology informed by legal training. Not a legal opinion on your specific obligations.
The readiness map is grounded in the PIPEDA framework and informed by legal training. The output is operational, not a legal opinion on your specific liability.
The shadow-AI inventory runs on DeployLabs discovery tooling we built for this work. It surfaces AI embedded in software your team has not formally approved.
No hourly billing, no scope creep. The price covers all four deliverables. The timeline is two to three weeks from kickoff to briefing.
The inventory, readiness map, policy template, and roadmap are yours at the end of the engagement. Take them to another vendor, build internally, or act on them with us.
The DeployLabs AI Privacy Readiness Audit is an operational compliance-readiness assessment. It is not legal advice and does not create a solicitor-client relationship. DeployLabs is not a law firm and does not provide legal services. For legal opinions on your organization's specific obligations or liability under PIPEDA, the CPPA, or other legislation, consult a lawyer licensed in your jurisdiction.
Two to three weeks. $3,500 to $7,500 CAD fixed fee. A shadow-AI inventory, PIPEDA-principle readiness map, AI acceptable-use policy, and remediation roadmap.