AI Opportunity Diagnostic
Interviews, a workflow inventory, opportunity scoring, and your top 3–5 use cases. A focused action plan for deciding what to test.
Typically 1–2 weeks · Scoped fixed fee
Richard Wilson · Business AI consultant
Make AI useful
inside your
business.
I help small and midsize companies identify the right AI use cases, build practical workflows, train teams, and measure whether the changes are actually worth it.
15+ yearsCorporate experience
10+ yearsEntrepreneurial experience
5 businessesOwned
How I help
Make AI useful.
Then make it repeatable.
Start where you are. Whether you need a direction, a working process, or a team that knows what to do next.
Practical AI Team Workshop
A half-day session using approved examples from your team’s work. Practice prompting, verification, privacy, and repeatable methods.
Remote-first · Onsite by arrangement
Implementation Sprint
Build and test 1–3 priority workflows. Includes documentation, human review checkpoints, user training, and a measurement plan.
Defined scope · Timing agreed per project
Ongoing AI Advisory
Leadership support, prioritization, workflow reviews, and guidance as tools and business needs change.
Monthly engagement · Agreed capacity
Where it can help
Everyday work.
Real opportunities.
Explore a few places to start.
The recurring task
Starting every campaign from a blank page.
Your team needs fresh content, but the offers, audience, and brand voice have to stay consistent.
A practical AI workflow
Brief once. Draft. Review. Publish.
Use an approved brief and brand guidelines to develop first drafts. A person checks the facts, tone, and offer before anything goes out.
Illustrative applications, not client case studies or guaranteed results.
Experience from my own businesses
Real work behind the method.
Multi-location operations
Using AI to structure troubleshooting, capture technical knowledge, and turn operating decisions into reusable requirements and work orders.
Read the exampleWebsite and marketing decisions
Connecting search intent, website issues, content, and business priorities into plans that can be handed to implementers.
Read the exampleBuilt on operating experience
A business owner’s
view of AI.
Richard Wilson
Business owner & AI consultant
I bring 15+ years of corporate experience and 10+ years as an entrepreneur, having owned five businesses.
As a business owner, I’ve used AI to support work across marketing, IT, and everyday operations—work that larger companies often assign to dedicated departments and specialists.
That’s the perspective I bring to consulting: understand the business, find a useful application, and make sure the people doing the work can actually use it.
Plain-language guidanceBusiness-first thinkingHuman judgment built in
Find your starting point
What is one recurring task costing you?
Pick a repetitive task: writing follow-ups, organizing notes, or preparing a weekly report. Estimate the time it takes today.
Start with a task that happens often, has clear inputs, and produces something a person can check.
5 hours per week
About 260 hours a year spent on this task.
This is current time spent, not promised savings. A small pilot helps establish what AI can actually improve.
A few straight answers
Before you get started.
Do we need to know anything about AI?
No. We can begin with the work your business does today and explain the options in plain language. Your team’s knowledge of the business is the starting point.
Do we need to replace our existing tools?
Not necessarily. Start by looking at the tools and processes you already use. A new subscription should have a clear purpose before you add it.
What about sensitive business information?
Decide what information can be used before putting it into an AI tool. Review the tool’s settings and terms, limit access appropriately, and build human review into important decisions.
How will we know whether it is working?
Record the starting point, test one workflow, and compare time, output quality, and rework. Use those observations to decide whether to expand, adjust, or stop.
Is this only for small businesses?
My primary focus is owner-led and professionally managed businesses with roughly 15–250 employees. Professional-services firms are also a fit. Engagements focus on practical adoption and implementation, rather than custom AI model development.
Start with one useful change.
You don’t need to figure out every possibility. Find one task worth improving and build from there.