Some workflows need training first.
Better use of approved tools can create value before custom automation is worth discussing.
Practical AI consulting for SMB teams
Map where AI belongs. Build what is ready. Run what works.
Get AI working in your business - and keep it working.
Every engagement starts with the audit. Not sure it fits? The fit call is free.
The Problem
Not every AI idea should become a project.
Plenty of the AI ideas floating around your business are not worth building — yet. The expensive mistake is guessing which ones.
Some workflows need cleanup first.
AI is fragile when ownership, source data, exceptions, metrics, or review steps are unclear.
Some workflows are ready to build.
A bounded first version can work when the input, output, owner, reviewer, and success measure are known.
The Report
Know what you are paying for before you pay.
The audit produces a written report: where AI will pay off in your workflows, what is risky, and what to do first. A complete sample is public — judge the thinking before you spend a dollar.
Read the full sample reportSynthetic sampleAI Opportunity Report
- Opportunity Map
- Repeated work, handoffs, reports, and customer response friction ranked by likely value.
- Readiness And Risk
- Owner, data, review, sensitive-information, and governance gaps called out before build work.
- Next Path
- Train the team, clean up the workflow, build a first version, get ongoing support — or no paid follow-up.
- 30/60/90 Roadmap
- A narrow first operating cycle with measurement, review points, and stop-or-expand criteria.
How We Work
Diagnose. Enable. Build. Run.
Every engagement moves in that order — and stops wherever the evidence says stop.
Diagnose
Clarify the workflows, risks, owners, and evidence before deciding what AI should touch.
Enable
Prepare the people, workflow rules, data, documentation, and review steps AI depends on.
Build
Implement narrow first versions around workflows with clear owners, inputs, outputs, and risk controls.
Run
Keep deployed systems useful with monitoring, governance, adoption support, and stop-or-expand decisions.
The audit decides which of these your business actually needs.
See What Each Looks LikeResources
No case studies yet. Judge the work instead.
AI Build Partners is new, and borrowed logos are not proof. Read the actual thinking and decide whether it is worth paying for.
Sample AI Opportunity Report
A complete synthetic example of the report you would receive: opportunities, risks, quick wins, and a roadmap.
Read the sampleWorkflow Readiness Checklist
Fifteen practical checks to spot owner, handoff, source-data, and review gaps before automation.
Use the checklistAbout
Built for operators who need decisions, not AI theater.
We work inside your real workflows — the quotes, handoffs, reports, and customer responses your team handles every day — and put AI where it holds up under daily use.
You get straight answers: what to build, what to fix first, what should wait. Then we build with you and stay accountable for it working.
Questions
Common questions before starting.
What does the audit cost?
$2,000, stated up front. If you want to confirm fit before paying, the fit call is free. If the report recommends further work, we scope and price that work with the report in hand.
What does the audit include?
A stakeholder call, a review of how work actually moves through your team, and a written report: three to five prioritized opportunities, ready-to-use quick wins, and a 30/60/90-day roadmap. A complete sample is public.
Why do you only sell the audit up front?
Because recommending training, builds, or ongoing support before seeing your workflows would be guessing. The audit gives both of us the evidence to decide what is worth doing — and what is not.
Can we skip the audit and buy implementation directly?
No. We do not scope, price, or schedule build work before diagnosing the workflow it has to live in. Skipping that step is how AI projects fail.
Do you always recommend paid follow-up?
No. Some reports say train the team first, clean up the workflow first, handle it internally, or do not do anything yet. You get a straight answer either way.
Do you have case studies?
Not yet — we are new, and we will not dress synthetic examples up as customer results. The sample report shows the exact kind of thinking you are buying. Real references will come from real engagements.
Next Step
Find out where AI pays off in your business.
Start with a free 20-minute fit call. If the audit is not the right next step, you leave with that answer instead of a pitch.