Search for "AI consulting for small business" and you will find two kinds of offers: an hourly advisor who will help you "think about AI", and a development shop that wants to build something before anyone has measured anything. For a company of 10 to 200 people, both are usually the wrong shape. What an SMB needs from a consultant is narrow: find the process that leaks the most money, confirm the data can support an automation, price it, and put a number on the result. Everything else is decoration.
Grow2.ai, the AI agents division of Auspex, sells exactly that on-ramp: an audit that is free, followed by a pilot that is not. So this guide describes our own model. We will be specific about where it fits and where a different kind of consultant, or no consultant at all, serves you better.
What does AI consulting for a small business actually include?
AI consulting for a small business, done properly, has three layers. The first is diagnosis: a walk-through of how leads, orders and support requests move through the company, what the CRM and the call recordings actually contain, and where the same work is done by hand every day. The second is prioritisation: a short list of automations ranked by payback, each with the data it needs, the process owner it needs, and the metric it would move. The third is the pilot: one process, a fixed scope, a KPI, and a review date. Consulting that stops after the second layer produces a document; consulting that skips the first produces a tool nobody uses. Grow2.ai's version of the first two layers is a two-hour audit session plus data analysis, delivered as a "where leads die" spreadsheet on day five, free, whether or not a pilot follows.
Five deliverables to expect from the audit stage, whoever runs it:
- Leak map with euros attached. Which requests go unanswered, at what hour, and what that costs per month at your conversion rate and deal size.
- Data readiness per process. Whether the CRM fields, call recordings, price lists and documents exist in a form an agent can read and write.
- Ranked automation list. Three to five candidates with expected effect, prerequisites and a rough payback, not a catalogue of everything AI can do.
- A "do nothing" and a "buy a tool" option. If a €40 subscription or a CRM clean-up solves it, the report should say so.
- Pilot scope. One process, one KPI, the before-number, the team's preparation list and a date.
How much does AI consulting cost for a small business in 2026?
There are three ways to pay for AI consulting, and the price matters less than where the risk sits. Hourly advisory is open-ended: you pay for time whether or not anything changes, which suits companies that have an internal team ready to execute. Fixed-fee roadmaps buy a document; useful when a board wants a strategy, useless when nobody is assigned to act on it. The audit-plus-pilot model shifts the risk to the vendor: Grow2.ai runs the audit free and charges a fixed €1,800 for a 14-day pilot, with the fee refunded in full if the agreed KPI has not moved by day 30. Two things sit outside the vendor's control and belong in your budget either way: the model's own usage cost after launch (from €49 a month plus tokens in Grow2.ai's plans), and the time your process owner spends approving replies in shadow mode.
Pricing model | What you pay | Where the risk sits | Fits when |
|---|---|---|---|
Hourly advisory | Per hour, open-ended | With you | You have an internal team that executes |
Fixed-fee roadmap | One fee for a document | With you (paper deliverable) | The board needs a strategy on paper |
Audit + pilot (Grow2.ai) | Audit free; pilot €1,800 fixed, refundable on day 30 | With the vendor | You want a working result inside 30 days |
Subsidised advisory (Spain, Kit Consulting) | Voucher of €12,000–24,000 by company size | With the public programme | 10–249 employees in Spain; check the current call |
In Spain, the Red.es Kit Consulting programme has funded "digital advisory vouchers" of €12,000 for companies with 10–49 employees, €18,000 for 50–99 and €24,000 for 100–249, covering advisory services including artificial intelligence. Calls open and close; check the current status on acelerapyme.gob.es before planning around it.
What should a good AI audit report contain?
A good AI audit report for an SMB fits on a few pages and every line has a number, an owner or a date next to it. It opens with the leak map: the three to five places where requests die, each with a monthly cost derived from your own volumes, response gaps, conversion rate and deal value. It follows with a data verdict per process, because the most common reason an AI project fails in a small company is not the model but a CRM where half the fields are empty and the call recordings are on someone's phone. Then comes the ranked list of automations with prerequisites and payback, and, if the numbers justify it, a pilot scope with a KPI and a before-measurement. What the report should not contain is a maturity score, a vision statement, or forty use cases copied from a vendor's website. Grow2.ai's free 2-minute self-assessment produces the short version, the top five automations for your industry, before any call.
The arithmetic behind the leak map is public and simple: leads per month, multiplied by the share not answered in time, multiplied by conversion rate and average deal value. The ROI calculator on the pricing page runs it on your numbers; the reasoning is in How to calculate AI agent ROI.
How do you tell a good AI consultant from a slide deck?
A good AI consultant for a small business is recognisable within one call by what they ask for and what they refuse to say. They ask for data before giving opinions: CRM exports, call recordings, the FAQ your team answers by hand. They name processes, not "AI strategy". They give numbers with their recommendations, including the number that says a process is not worth automating. They say no: a consultant who has never told a client that a €40 tool or a CRM clean-up is the right answer has not been consulting, only selling. They can show something running, with logs, rather than a demo. And they price the next step, not the next meeting. Andrew Maryasov's guide on how to hire an AI consultant covers the interview questions in detail; the short test is whether the first deliverable has a euro sign and a date on it.
- Asks for data first. Exports, recordings, documents, before any recommendation.
- Names processes. "Inbound qualification on Instagram after 19:00", not "customer experience".
- Gives you the number that kills an idea. Not everything pays back; a good report says which.
- Has shipped. Live deployments with measured results, escalation logs on request.
- Prices the pilot, not the workshop. A fixed fee for a measured result beats a day rate for a conversation.
When should a small business skip AI consulting altogether?
There are four situations where AI consulting is money spent in the wrong place, and an honest consultant will say so on the first call. If your data live in personal phones and spreadsheets rather than a CRM, there is nothing to audit yet; the first project is a CRM implementation, which is what Auspex does, and the AI conversation comes after. If the need is one obvious tool, drafting emails or transcribing meetings, buy the tool and skip the advisor. If no one in the company owns the process you want to automate, the report will have no one to hand it to. And if the goal is an "AI strategy" for investors or a board rather than a change in how work gets done, a strategy document is a different product, from a different kind of firm. Consulting pays for itself only where a measured process, an owner and usable data already exist.
- No CRM, data in phones. Implement the CRM first; audit later.
- One obvious tool. A subscription, not a consultant.
- No process owner. Appoint one, then ask for the audit.
- Strategy for a deck. A different product; do not buy it from a builder.
How does Grow2.ai do AI consulting?
At Grow2.ai, consulting is the on-ramp, not the product. The studio is the AI agents division of Auspex, a CRM implementation company founded by Andrew Maryasov in 2015 with 1,500+ projects behind it; the legal entity is Auspex Streamline SL in Spain, the engineering team works from Lviv, Ukraine. The sequence is fixed: a 2-minute self-assessment that returns the top five automations for your industry; a free audit, two hours plus data analysis, with the "where leads die" spreadsheet on day five; then, only if the numbers justify it, a fixed-fee pilot of €1,800 for one agent on one channel with one CRM, live within 14 days and reviewed on day 30 with a full refund if the KPI has not moved. The founder runs the audit call. The audit and the spreadsheet stay with you whether or not a pilot follows. What we do not sell: hourly advisory, maturity assessments, or roadmaps without a pilot attached.
Two deployments that started as an audit:
- Assistant for 500+ dealers: the audit found two managers covering 500 dealers; the agent now answers around the clock, payback in 2–3 months.
- Booking assistant for dental clinics: the leak was after-hours reception; the agent books and answers 24/7 across four channels.
Start with the self-assessment or book the audit call. If you already know you need an agent rather than advice, the guide on choosing an AI agent development company is the next read; the overview of what agents can take over today is in AI agents for business.