Before you spend a dollar on AI, find out what it can actually do for your business. We score your data, systems, team, and governance, rank the use cases by payback, and hand you a roadmap you own. Part of our digital transformation consulting practice, alongside our AI solutions.
AI projects fail on foundations, not models. The assessment scores the foundations first.
Where your data lives, how clean it is, and whether AI can reach it. Grounded AI needs your own data; this tells us how far it can go today.
Which systems run the business and how they connect. AI multiplies well-connected systems and stalls on silos, so integration gaps get named here.
Who does the repetitive work today, what skills exist, and where the resistance will come from. Adoption is planned from day one, not after launch.
Privacy, data residency, policy, and human oversight. What AI may touch, what it may not, and who reviews the exceptions.
The deliverable is a readiness report you can act on with anyone: a scored picture of your data, systems, team, and governance, a use-case shortlist ranked by payback and effort, and a phased roadmap that names what must be true before each phase works.
When implementation starts, trackers go in first so every result is measurable, and training is built into every phase. That discipline is what separates AI that demos well from AI that earns its keep.
An AI readiness assessment is a structured review of whether your business can actually benefit from AI right now, and where. It looks at four things: your data (is it clean and reachable), your systems (do they talk to each other), your team (skills and appetite), and your governance (privacy, policy, and risk). You get a scored picture and a prioritized roadmap instead of guesses.
A written readiness score across data, systems, team, and governance, a shortlist of AI use cases ranked by payback and effort, the gaps to close before each one, and a phased roadmap. It is a decision document: you can execute it with us, with your own team, or with another partner, because you own it.
No. Most of our clients are established businesses without an internal AI team. The assessment is designed to translate: we look at your operations in plain language, find the repetitive work AI can take, and tell you what has to be true before it works. The learning curve is our job, not yours.
The first conversation is 30 minutes and free. The full assessment typically runs one to three weeks depending on how many systems and teams are in scope, and it does not disrupt operations: it is interviews, system review, and data sampling, not a rebuild.
Often, yes. Several provincial programs support workforce training, and AI training frequently qualifies, which can meaningfully reduce the cost of the adoption phase. Eligibility depends on your province and program rules, and we help you check what applies before you commit.
You decide. Some clients take the roadmap and run it internally. Most start with the first phase: usually automating one high-volume manual workflow, with trackers installed first so results are measurable. Training and adoption are built into every implementation phase, because AI a team does not use earns nothing.
Start with the free 30 minutes. We will look at your operations, name the two or three places AI would pay for itself fastest, and tell you honestly if it would not.
Book the Free Conversation30 minutes. No pitch. Just clarity on what is possible.