Audit
Find repeat work and missed revenue.
We review intake, sales, support, reporting, documents, and follow-up to find where AI can remove friction.
- workflow interviews
- tool review
- data source checks
- bottleneck map
All services
AI consulting
Know where AI will actually make money before you build it.
We turn the AI noise into a plain-language plan: what to automate, what to leave alone, what it costs, and what should ship first.
Plain-language roadmap
Use-case scoring
Risk and approval rules
First build recommendation
Sound familiar?
Use consulting when the business has AI ideas but no clean order of operations.
01
Where should we start?
We rank workflows by revenue impact, time saved, data access, and risk.
Best for busy owners
02
What should we avoid?
We call out AI projects that look exciting but are too risky, too vague, or too expensive right now.
Keeps spend focused
03
What is the first paid build?
You leave with the first project scoped clearly enough to price and schedule.
No vague next step
What you actually get
Clear pieces, real ownership, no mystery box.
Score
Rank ideas by business value.
Every idea gets scored against expected return, complexity, risk, and how soon it can launch.
- impact score
- complexity score
- risk notes
- launch order
Roadmap
Turn the winner into a build plan.
The final plan names the workflow, owner, tools, approval gates, success metric, and estimated build window.
- first sprint
- integration list
- approval rules
- budget range
How it ships
A simple build path business owners can follow.
01
Audit the current flow
We trace the work from first contact to completed task so the real bottleneck is visible.
You see the problem map first.02
Scope the smallest useful build
We define the workflow, owner, data source, approval rule, and launch metric before development starts.
Fixed scope before payment.03
Ship with demos
You review working versions during the build, not a surprise at the end.
Weekly review rhythm.04
Tune after launch
We watch real usage, fix friction, and hand over simple operating notes.
Support included after launch.What you own
Buy the outcome, not a pile of tasks.
Every engagement starts with scope, success criteria, approvals, and a clean handoff. That keeps the work easy to understand before money changes hands.
01
AI opportunity audit
A focused review of the workflows most likely to save time or create revenue.
Best first step
02
Implementation roadmap
A ranked build plan with scope, timing, and practical handoff notes.
For teams ready to act
03
Executive AI planning
Plain-language guidance for owners who need clarity before committing budget.
No jargon
FAQ
Questions people ask before they buy.
Do I need clean data before an AI roadmap?
No. The roadmap should reveal which data is usable, which data needs cleanup, and which workflow can still launch without a large data project.
Will you recommend your own build services every time?
No. If the best answer is a simple process change, a no-code tool, or waiting until the business has better data, we say that.
How fast can we get a roadmap?
Most small-business roadmaps can be completed in one to three weeks depending on how many workflows and tools need review.
Start with the AI work that pays back.
A good AI plan should make the next decision easier: build, wait, simplify, or fix the process first.