Most AI consulting for small business is enterprise consulting with a smaller invoice — the same maturity assessment, the same roadmap, sold to a company that needed neither.
A small company does not have an AI strategy problem. It has a specific job that eats hours every week, done by hand, usually by the owner or the one person who cannot be sick.
A lot of what a small business needs from AI already exists inside software it pays for.
Your accounting tool, your CRM, your inbox and your document suite have all shipped AI features that overlap with much of what gets pitched as custom work.
When something is worth building, it is built to your budget: you name the ceiling, and the scope fits inside it.
The worst workflow is built first and taken all the way to production. The handoff assumes no engineer on staff: when we leave, you run it.
Each job after the first gives back fewer hours for roughly the same build cost, so at some point the next build stops paying for itself. Past that point, the roadmap is a vendor's growth plan, not yours.
Scope
Before anything is proposed, we inventory the software you already subscribe to and the AI sitting unused inside it. Where a setting, a template or an integration you already own covers the job, that is the recommendation — in writing, with the steps.
You name what the problem is worth at the start, and the scope fits inside that bound. If the ceiling only buys configuration, configuration is what you get, not a stretched scope.
The thing that kills automation at small scale is the platform: a system that promises to run everything and is abandoned half-configured the month the owner gets busy.
We build one workflow — the quote follow-up, the invoice chase, the inbox triage, the report nobody enjoys compiling — into production before a second one is even discussed.
In a small business, a wrong message goes to a customer who knows the owner by name.
Anything that sends money, contacts a customer or deletes a record passes a human approval step, and every action is logged so you can see exactly what the system did and why, without asking us.
Handoff assumes the person running this is you, not a hire you have yet to make. You get a plain-language runbook, the what-to-do-when-it-breaks steps, and accounts in your name from day one.
Nothing about keeping it alive requires a retainer, a licence we control, or a phone call to us.
A fixed fee set by the scope, and the scope is written inside the budget ceiling you name on the first call. If that ceiling buys configuration of tools you already own rather than custom work, that is the recommendation.
The label matters less than what changes at small scale. Small business AI consulting done properly starts from one job instead of a discovery phase, and assumes no engineering team exists to receive the output.
The owner is the buyer, the operator and usually the approver, so everything, the scope, the runbook and the rollback steps, is written for that one person.
The general version of this service is on our AI consulting page; this page exists because the small-company version is a different job.
Yes. That is the default we design for, not an exception. AI consulting for businesses without an engineer on payroll fails at handoff, not at build: the system works until the first hiccup, then dies because fixing it needs the vendor.
So the handoff here is the deliverable, not an appendix: accounts in your name, a runbook in plain language, and failure steps you can execute without knowing what an API is.
Often, yes, and checking that is the first thing we do.
Where those tools genuinely fall short is connection: they each work inside their own box, and the job that eats your week usually runs across your inbox, your spreadsheet and your invoicing tool at once.
If your problem lives inside one box, the tool you already have is the answer.
No. The engagement ends at handoff, and the system is built so that ending it is safe: your accounts, your data, no licence of ours in the middle.
If something changes later, because the workflow shifts or a tool you rely on changes its behaviour, you can come back for a scoped piece of work. Coming back should be a choice, not a dependency we engineered.
The job, not a technology. Do not arrive with an AI idea. Arrive with the task you or someone on your payroll does by hand every week and quietly resents.
Walk us through one real instance of it, start to finish, including the ugly step everyone works around. That is enough to sort it into a configuration job, a build, or something automation will not fix.
You do, outright. IP assignment is signed before repository access, by everyone who touches the code, and it covers AI-assisted output. Handover includes the runbook and the rollback path. Nothing depends on a licence we control.
Nobody before an NDA. Access is read-only until scope is signed, and you can revoke it at any time. The AI tools used on your code, and what each one retains, are listed on the governance page.
Retainers end on 30 days written notice from either side, with no minimum term. Milestone billing means you never pay ahead of delivered work.
Founder, Provingmark
Thirty minutes, no charge.
Related: AI consulting — the general page · AI workflow automation · Building without hiring a developer · How we work