Vozwin AI's AI readiness assessment is a facilitated, two-to-six-week evaluation of whether your company's data, systems, people, processes and governance can support AI, and where it would create value first. You walk away with a ranked list of use cases scored on value and feasibility, a data gap list, build-versus-buy calls for the top candidates, named quick wins, and a twelve-month roadmap your leadership team can act on. We run assessments for companies across Canada, in English or French, on site or remote.
Most AI projects that fail do not fail on the model. They fail on data nobody checked, a process nobody mapped, or a team nobody asked. An assessment finds those problems in week three, when they cost a conversation, instead of month six, when they cost the project.
What the assessment covers
Every credible assessment covers the same five dimensions. Ours does them in your language, on your systems, with the people who do the work in the room:
- Data. What you have, where it lives, who owns it, how clean it is, and whether it can legally and practically feed the use cases on the table.
- Infrastructure and systems. Your ERP, CRM, MES or homegrown tools, what they integrate with, and what is stuck behind a closed vendor API.
- People and skills. Who would build, operate and maintain AI systems, what skills already exist in-house, and how the people doing the work today feel about it.
- Process. Where the bottlenecks and manual handoffs are, and which processes are stable enough to automate. Automating a broken process gets you a faster broken process.
- Governance and risk. Privacy obligations under PIPEDA and provincial law, security posture, regulatory constraints, and who decides what an acceptable AI output looks like.
How it runs
- Discovery. Interviews with leadership and the operators closest to the work, plus an inventory of the data and systems you already have. We ask what hurts, not what AI could do.
- Review. Systems walkthroughs, process mapping and data sampling. This is where the surprises show up, and finding them now is the point.
- Workshops. Use-case generation with the people who would live with the result, then scoring on value, feasibility and time to impact. Ideas that fail the scoring are kept, with the reasons.
- Roadmap. Build-versus-buy calls for the top use cases, a data gap list with closing costs, funding programs each phase may qualify for, and a sequenced twelve-month plan.
- Readout. A working session with your leadership team, not a slide drop. You leave with decisions, owners and a first 90 days.
What you walk away with
- A ranked list of use cases, scored on value and feasibility, with the reasoning shown, including the ones that were considered and rejected.
- A data gap list: which datasets each top use case needs, their current condition, and what closing each gap costs in time and effort.
- Build-versus-buy calls for the top use cases. When a proven vendor tool is the right answer, we say so.
- A twelve-month roadmap with sequencing, dependencies, rough cost ranges and the funding programs each phase might qualify for.
- One or two named quick wins, deliverable in weeks, each with an owner and a success metric.
What you will not get is a maturity score. A spider chart saying you are a 2.3 out of 5 does not tell anyone what to do on Monday.
Who it's for
Companies that run on real systems and real data: an ERP on the shop floor, a fleet logging its own operation, a claims queue, a contact centre. Typically the board or the CEO has asked what the AI plan is, a few vendors have pitched, and nobody has an honest read on what the company can absorb. We work with operations in aerospace, energy, manufacturing, healthcare, finance, retail and technology, from growing businesses to large corporations.
If you already know your first use case and have the data for it, you may not need an assessment at all. We will tell you that in the first conversation.
Cost and funding
Published market rates for a facilitated assessment in Canada run from $10,000 to $50,000 CAD, depending on company size and how many systems and departments are in scope. Our pricing guide breaks down what moves that number. Advisory work of this kind can qualify for support under programs such as NRC IRAP and, in Quebec, Investissement Québec's innovation programs. We check eligibility with you as part of the roadmap, and we tell you when a program does not apply.