AI readiness and opportunity assessment

Know where AI should start, and what to build first

You receive a map of how the work runs today, a readiness score across five areas, every AI opportunity ranked by how close it sits to money the business already counts, and a sequence for what to do first.

  • From $2,000
  • 2 to 6 weeks
  • Three depths
  • Leadership decision brief

Most AI budgets are set before anyone has looked at the work

The decision to fund an AI project usually arrives before the process it will touch has been written down. Six patterns show up again and again in that gap.

AI ideas are scattered across departments

Marketing has one, operations has another, finance has a third. Each was proposed on its own merits.

No shared priority, so the loudest team sets the order.

The business case is missing

The value of a proposed build is described in general terms and never put against a number the business already tracks.

Budget stalls, or funds a pilot nobody adopts.

Nobody has written down how the work runs

The process exists in the heads of the people doing it, and the documented version stopped matching reality years ago.

The wrong step gets automated first.

There is no readiness baseline

Data quality, access rules, tool coverage and staff capability are assumed rather than measured.

Builds fail on gaps that were visible from the start.

Vendors are setting the agenda

Three demos arrive, each scoped to what that vendor sells, and the comparison happens on their terms.

The decision follows the best demo, not the best fit.

Pilots never reach production

Something gets built, works in a test, and stops when the person who championed it moves on.

Money spent, nothing operating.

Nine artifacts your leadership can decide from

Each one is a document or a map you keep, use in the next engagement, and hand to a vendor who is not us. The assessment ends with a decision, not a proposal.

AI Direction Brief
Your business priorities and what you want AI to do about them, written in one place and agreed by leadership.
Readiness Scorecard
Where you stand today on workflow clarity, data, governance, people and measurement, scored so you can see which gap is load-bearing.
Current-State Process Map
How the work actually flows, including the steps nobody documented and the handoffs where it stalls.
Level 2 Workflow Map
The priority process broken into triggers, owners, systems and handoffs. Detailed enough to build against.
Workflow Opportunity Map
Every point in that flow where AI removes friction or improves the result, marked on the map rather than listed apart from it.
Value Map
Each opportunity scored on value, risk, effort and adoption, and ranked by how close it sits to money the business already counts.
Risk Heatmap
The governance, data and operating risks that would stop a build, flagged before you fund one.
AI Roadmap
What to do first, second and third, and what each step depends on finishing before it starts.
Executive Decision Brief
One document your leadership decides from: govern, build, train, deploy, or wait.

Three depths. Same method, different reach

Every engagement is scoped before it starts, and the band you land in follows the number of processes in scope and how many people have to be interviewed to map them.

Snapshot

$2,000 to $3,000

About 2 weeks

A readiness baseline and a ranked shortlist, for a decision that has to be made before a deeper engagement can be justified.

  • Readiness Scorecard
  • Top opportunities, ranked
  • Initial risk flags
  • Executive Decision Brief

Blueprint

$3,500 to $5,000

About 4 weeks

The full assessment. Take this when the next step is a build or a governance engagement and you need evidence to scope it.

  • Everything in Snapshot
  • Current-State Process Map
  • Workflow Opportunity Map
  • Value Map and AI Roadmap

Build-Ready

$5,500 to $7,500

About 6 weeks

The assessment plus the specification. Take this when a build is already likely and you want it to start without a second discovery.

  • Everything in Blueprint
  • Level 2 Workflow Map
  • Build-ready requirements
  • Implementation sequence

Canadian small and medium businesses have used federal digital adoption funding to cover this work. Two of the engagements below were funded that way. We will tell you on the call whether you are likely to qualify.

Whether this is the right first step

Start here if

  • Your teams are already using AI informally and you want to know what to formalize
  • You are considering AI spend and need a credible starting point to put in front of a board
  • You have several AI ideas and no agreed order
  • A build or a governance engagement is coming and you want it scoped on evidence
  • You can give us a leadership sponsor and access to the people who run the process

Start somewhere else if

  • Staff are already using AI on client or regulated data with no rules in place. Go to FusionGuard first.
  • You have one clear workflow, a named owner and agreed success metrics. Go straight to FusionBuild.
  • The blocker is capability rather than direction. Go to AI Systems Mastery.
  • You want a free read on where you stand before paying for anything. Take the AI readiness assessment.

Where the findings usually send you

The assessment ends at a decision point. Which of these you take depends on what the readiness score and the risk heatmap turn up, and it is written into the decision brief.

Governance gaps are the thing blocking you

FusionGuard

One workflow is ready to build

FusionBuild

Your people are the constraint

AI Systems Mastery

A whole function needs an operating layer

AI Operating System

Start with evidence

Thirty minutes on a call tells us whether an assessment is the right first spend, and which depth fits what you are trying to decide.