See exactly where AI will make you money before you build anything.
The AI Operations Audit maps your revenue and customer operations, puts a number on the time and revenue leaking out today, and recommends the first managed system to install, with the projected ROI attached. Plain language, no slide deck.
Opportunity roadmap
Ranked by scoreFind 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
Opportunity roadmap
Ranked by scoreRank 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
Keyword rankings
Last 30 daysTurn 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
Active jobs
Throughput
Active jobs
Use consulting when the business has AI ideas but no clean order of operations.
Where should we start?
We rank workflows by revenue impact, time saved, data access, and risk.
What should we avoid?
We call out AI projects that look exciting but are too risky, too vague, or too expensive right now.
What is the first paid build?
You leave with the first project scoped clearly enough to price and schedule.
A simple build path business owners can follow.
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.Scope the smallest useful build
We define the workflow, owner, data source, approval rule, and launch metric before development starts.
Fixed scope before payment.Ship with demos
You review working versions during the build, not a surprise at the end.
Weekly review rhythm.Tune after launch
We watch real usage, fix friction, and hand over simple operating notes.
Support included after launch.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.