Make the AI decision before you make the AI investment
AI Assessment is the decision stage before implementation. I help you understand what is happening now, compare realistic options and decide whether further investment makes sense, whether you are looking at a workflow, an AI opportunity or how your business appears in AI Search.
When an AI assessment helps
🗺️ Not sure where AI could help?
Explore a workflow or business area to find the AI opportunities worth pursuing.
💡 Have an AI idea but not sure it will work?
See whether it can work, what it would take and whether it is worth the investment.
🔎 Not sure how your business appears in AI answers?
Establish a baseline before deciding what is worth changing.
How an assessment works
Step 1 · Understand
Define the question and understand how things work today.
Business goal · Current process · People involved · Examples
Step 2 · Verify
Confirm the facts that could change the recommendation.
Time & volume · Tools & systems · Data · Rules & exceptions · Buyer questions · Source signals
Step 3 · Analyse
Compare the options, what they would take and whether they are worth pursuing.
Impact · Effort · Cost · Feasibility · ROI · Visibility · Accuracy · Citations
Step 4 · Decide
Turn the analysis into a clear recommendation and practical next step.
Services & Pricing
Choose the question you are trying to answer.
Could AI improve this work?
AI Opportunity
Scan
C$350
Best for
Start small before investing further.
Scope
One task, workflow or clearly defined AI opportunity.
Includes
- Current workflow and bottlenecks
- Existing tools and simpler options considered
- Where automation or AI may help, and what should stay human
- Key risks and exceptions
- Clear recommendation
Timeline
5 business days
AI Opportunity
Map
From C$3,000
Best for
Explore more deeply before deciding what to prioritise.
Scope
One complex workflow or one business area · Up to 3 priority opportunities assessed in depth.
Includes
- Current-state workflow map
- Prioritised opportunity list
- Effort, cost and feasibility findings
- Human review and exception requirements
- Phased implementation roadmap
- Review session
Timeline
From 3 weeks
How do I appear in AI?
AI Search
Snapshot
C$350
Best for
Start with a quick baseline before investing further in AI Search.
Scope
10 agreed buyer questions · ChatGPT, Google AI Overviews and Perplexity · One competitor.
Includes
- Dated screenshot evidence
- Key visibility and accuracy findings
- Suggested next step
Timeline
3 business days
AI Search
Check
C$600
Best for
Take a deeper look before deciding what to change.
Scope
A broader agreed buyer-question set across all three platforms · Competitor coverage agreed before testing.
Includes
- Competitor and source analysis
- Dated screenshot evidence
- Visibility, ranking, citation and accuracy findings
- Prioritised implementation checklist
Timeline
5 business days
Full Check credit: C$600 toward AI Search Optimization if started within 60 days. One credit per client.
Related resources
Want to pressure-test an AI idea yourself first? Choose the format you prefer.
Frequently Asked Questions
Do I have to start with an assessment?
No. If the problem, requirements and scope are already clear enough, we can discuss implementation directly.
What do you need from me?
You do not need to map the workflow first — understanding it is part of the assessment. Show me how the work happens today and bring realistic examples where possible.
For an Opportunity Scan, I need realistic examples and input from the person or people who know the work well.
For an Opportunity Map, I work with at least one owner or decision-maker, plus the people who know the relevant work best. I use focused interviews, real examples and factual review rather than asking the whole team to stay involved throughout the project.
For an AI Search Check, I need your website, confirmed business facts and input on the questions customers ask before choosing you.
Can you assess my whole business for every possible AI opportunity?
Not under the current Scan or Map scope.
A Scan focuses on one task or workflow. A Map can go deeper across one complex workflow or one clearly bounded business area with related work and opportunities.
If the question is broader than that, we use the discovery call to define a useful scope first.
What if I have a specific AI idea but do not know whether today's technology is good enough?
Some questions need a limited feasibility test. If that is the real decision, the test is scoped separately.
Is this the same as an AI readiness assessment?
Not exactly. Some readiness assessments score the whole company. I keep the work tied to a specific business problem, workflow, bounded area or decision so the result supports a practical next step.