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AI Strategy Consulting

Where AI creates value in your business, in what order, and what each step costs and returns. A decision-ready roadmap in 2-3 weeks — not a 90-page deck.

What is AI strategy consulting?

AI strategy consulting identifies where AI creates measurable value in a specific business and turns that into a prioritized, costed plan. ChatGPT.ca delivers AI strategies for Canadian businesses as fixed-price engagements built on our published Canadian AI Strategy Framework (Map → Prove → Scale → Compound, with a PIPEDA/Law 25 governance spine): an opportunity map scoring every workflow, a 12-month roadmap sequenced by payback, a business case per initiative, and a governance baseline. Because we also build what we recommend, every estimate on the roadmap is a price we are willing to deliver against.

What you get

Six concrete deliverables. No “digital transformation journey” language.

Opportunity map

Every workflow in scope scored for automation potential, effort, and ROI. The full picture on one page.

12-month roadmap

Initiatives sequenced by payback and dependency. What to do first, second, and deliberately not at all.

Business case per initiative

Cost, tooling, payback period. Numbers priced against real delivery, not billable-hour projections.

Governance baseline

PIPEDA posture, acceptable-use policy, data-handling rules. Quebec Law 25 covered where it applies.

Executive readout

A working session with leadership. Decisions made in the room, not deferred to a follow-up deck.

Measurement plan

The 3-5 metrics that tell you whether each initiative is working, defined before anything is built.

How the engagement runs

Week 1

Discovery

Workflow interviews across teams, tool inventory, data and privacy posture review.

Week 2

Opportunity mapping

Every workflow scored for automation potential, effort, and payback. Draft roadmap sequenced.

Week 2-3

Business cases

Each roadmap initiative costed against real delivery: tooling, build price, monthly run cost, payback.

Week 3

Executive readout

Working session with leadership. Roadmap finalized, first initiative scoped, decisions made in the room.

Investment

Focused

$2,500-$5K
1-2 weeks
  • Single department or function
  • Opportunity map + roadmap
  • Top-3 initiative business cases
MOST POPULAR

Company-Wide

$5K-$15K
2-3 weeks
  • All departments
  • Full 12-month roadmap
  • Business case per initiative
  • Governance baseline included

Strategy + First Build

$8K-$20K
4-6 weeks
  • Company-wide strategy
  • First roadmap item built and shipped
  • Team training on the delivered system

Frequently Asked Questions

What is AI strategy consulting?

AI strategy consulting maps where AI creates value in a specific business, then turns that into a prioritized plan: which workflows to automate, which tools or builds to use, what each initiative costs, and what it returns. The deliverable is a decision-ready roadmap — not a technology lecture. At ChatGPT.ca a strategy engagement is fixed-price, runs 2 to 3 weeks, and every recommendation comes with a build estimate we are willing to deliver against ourselves.

How much does AI strategy consulting cost?

Our fixed-price engagements run $2,500 for a focused single-department strategy to $15,000 for a company-wide roadmap with per-initiative business cases; a Strategy + First Build bundle that ships the top roadmap item runs up to $20,000. Big Four and large-firm equivalents typically start at $50,000 to $150,000. The difference: we are practitioners who also build, so the strategy phase is short and the recommendations are priced against real delivery costs, not billable-hour projections.

What does an AI strategy engagement include?

Four things: an opportunity map (every workflow scored for automation potential and ROI), a prioritized 12-month roadmap with dependencies, a business case per initiative (cost, payback period, tooling), and a governance baseline (PIPEDA posture, acceptable-use policy, data-handling rules). You also get an executive readout your leadership team can act on without translation.

How is AI strategy different from AI stack planning?

Strategy answers "where should AI create value in this business and in what order" — it is business-first. Stack planning answers "which tools, models, and orchestration should power those initiatives" — it is architecture-first. Strategy usually comes first; many clients then run stack planning to design the tooling behind the top roadmap items.

Do small businesses actually need an AI strategy?

Under about 10 employees, usually not — pick one workflow and automate it (our AI Starter Install exists for exactly that). From roughly 10 to 500 employees, a light strategy pays for itself quickly because the failure mode we see most is scattered tools bought department-by-department with no compounding value. A 2-week strategy engagement prevents a year of that.

How long until we see results?

The roadmap lands in 2 to 3 weeks. If you proceed to implementation, the first roadmap item typically ships 2 to 4 weeks after that, and our clients typically see payback on the combined strategy-plus-first-build within 2 to 4 months.

What are some reputable AI strategy consulting companies?

Reputable AI strategy firms share three markers: verifiable client results (case studies and reviews you can check), fixed scope and pricing agreed before work starts, and recommendations priced against real delivery costs rather than open-ended billable hours. The main trade-off is tier: Big Four and large firms bring enterprise change-management muscle but typically start at $50,000 to $150,000, while boutique practitioner firms like ChatGPT.ca deliver a decision-ready roadmap for $2,500 to $15,000 in 2 to 3 weeks.

Not sure where AI fits your business?

A 30-minute call will tell you whether a strategy engagement is worth it — or whether you should just automate one workflow and skip the roadmap.

Book a Discovery Call