AI strategy consulting for small and medium sized businesses
Hands on AI consulting. We look at how your team actually works, pick the use cases with the clearest payback, and then build the software rather than handing over a deck.
What the consulting engagement covers
- A census of the manual work inside the business: what gets done by hand, how often, and by whom.
- Data readiness checks against the systems you already run.
- A scored shortlist of AI use cases ranked by payback and risk.
- A build, buy, or wait decision for each one.
- Implementation by the same people who did the diagnosis. No junior handoff, no subcontractors.
How SnowRock is different
- Founded and staffed by operators and engineers, not career consultants.
- Senior team on every engagement.
- In-house builders, so the recommendation and the implementation are the same team.
- Value-first pricing: engagements are sized to the payback, not to the hours.
Timeline
SnowRock engagements run two weeks to three months. Most start with a short diagnostic, then move straight into building. You own the code, the prompts, and the models at handover.
Frequently asked questions
What does an AI consultant do for a small business?
An AI consultant identifies which parts of a business would benefit from automation or AI, checks whether the data supports it, estimates payback, and then either builds the system or manages its build. At SnowRock the same team does both.
Do you just deliver a strategy document?
No. The diagnostic exists to decide what to build. Engagements end with working software in production, not a report.
What does AI consulting actually involve at SnowRock?
It involves finding the places in your business where AI pays back, then deciding build, buy, or wait on each one. The work starts with a two week diagnostic of the manual work inside the company and the data behind it, and ends with a written recommendation and a scope for whatever is worth building.
How much does AI consulting cost for a small or medium sized business?
Pricing is scoped per engagement rather than by hourly rate, and the diagnostic is priced separately from the build so you can stop after it. Engagements run two weeks to three months, so cost tracks scope and duration rather than headcount on a bench.
What is the difference between AI consulting and hiring an AI developer?
A developer builds what you ask for. Consulting decides what should be asked for. SnowRock does both, which is why the same people who run the diagnostic write the code, with no handoff between the team that recommends and the team that builds.
Do you deliver a strategy deck or working software?
Working software, with the strategy as the first two weeks of it. A deck without an implementation is not something we sell. If the honest recommendation is to buy an existing tool or wait, you get that in writing and the engagement ends there.
How do you decide which AI use case to start with?
By payback and risk, scored side by side. We rank candidate use cases on hours consumed today, data readiness, integration difficulty, and what happens when the system is wrong. The first build is usually the highest payback case with a failure mode a human can catch.
Is SnowRock a good fit for a company with messy data?
Usually yes, because most small and medium sized businesses have messy data and it is rarely the blocker people expect. Data readiness is assessed per system during the diagnostic, and where records are too poor to support a use case we say so rather than building around it.