AI consulting that finds the work worth automating first.
The AI Operations Audit follows how work moves through your business, finds where it waits on a person, and names the first job an agent should take.
Works with Notion, Google Sheets, Slack, HubSpot.
We rank your workflows by what they cost you, what data we can reach and how risky they are to hand off. We call out AI projects that look exciting but are too risky, too vague, or too expensive right now.
Today
- A list of AI ideas in a group chat
- Tools bought before the work is mapped
- No owner and no review rule
- Budget spent without a clear result
After
- One workflow mapped end to end
- Ideas scored on value and risk
- An owner and a review rule
- A written plan for the first build
Plain language, not a generic slide deck. Every recommendation names the workflow, owner, tools and approval rules.
AI opportunity audit
A focused review of the workflows most likely to save time or create revenue. Includes workflow interviews, tool review, data source checks and bottleneck map.
Implementation roadmap
A ranked build plan with scope, timing, and practical handoff notes. Includes impact score, complexity score, risk notes and launch order.
Executive AI planning
Plain-language guidance for owners who need clarity before committing budget. Includes first sprint, integration list, approval rules and budget range.
An honest recommendation
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.
Every idea is scored against value, complexity and risk. The plan ends with one recommended first build.
A roadmap lists four workflows with their value and risk, and marks lead follow-up as the recommended first build.
Map the work today
We follow the work from first contact to finished job, so the real bottleneck is easy to see.
You see the problem map first.
Scope the first build
We write down the job, who owns it, which tools it touches, where a person approves, and what done looks like.
Written scope and estimate.
Review as it is built
You see working versions during the build, not one big reveal at the end.
Visible progress.
Launch and support
We launch it, write down how it runs, and stay on for 30 days of support.
30 days of support included.
- Timeline
- About 3 to 5 days to a written scope. Most builds take 4 to 8 weeks.
- Price
- Priced to the job and quoted in writing before any build starts.
- Ownership
- Code, hosting, credentials and handoff named in the scope.
Related services
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What is the difference between AI consulting and the AI Operations Audit?
The audit is how the consulting starts. It maps one priority workflow, finds where it stalls and names the first job worth automating, in a written plan. The roadmap is yours to keep, and there is no obligation to build with us afterward.
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 long does a roadmap take?
About 3 to 5 days to a written scope. Most of that time goes to reading your tools and talking to the people who do the work, and the date is in writing before we start.
A good AI plan should make the next decision easier: build, wait, simplify, or fix the process first.