How much budget should I set aside for the first pilot?

For an SMB, a realistic pilot price is €3,000–8,000 including setup and three months of operations. Larger amounts often mean the scope is too big.

How long does the first pilot take?

Implementation: 2-4 weeks. Pilot phase: 90 days. Total 4 months from signing to a real scale decision.

Do I need an internal AI lead?

Not for the first pilot — the vendor can handle most of it. But if you have multiple parallel initiatives, having an internal owner pays off.

AI strategy for SMBs — pilot to scale

We've seen this pattern across dozens of businesses: the leader reads about AI, gets excited, buys something, and 6 months later the project is quietly dead. It's not the technology failing — it's the strategy. Here is the framework we use for SMBs that want to start right.

Step 1: Identify the bleed

Forget "what's cool about AI". Ask: where does your business leak the most time or money? Most SMBs have one or two concrete bleeds:

Lost leads after hours
Time spent on repetitive admin tasks
Lack of follow-up with existing customers
Long response time on inquiries
Content that never gets published

The McKinsey 2025 survey shows the most successful AI implementations start with concrete operational problems, not with "transformation".

Step 2: Pick the first pilot on 3 criteria

The first AI project is critical. It must score high on all three:

1. Clear ROI in 90 days

No "we'll see what happens". Define a concrete hypothesis: "If we automate lead qualification, we expect +X qualified leads per month".

2. Low implementation risk

Pick something where failing isn't catastrophic. Launch an AI chatbot on the website? Fine. Replace all customer support with AI on day 1? Risky.

3. People who want to use it

An AI project that has to be forced on staff dies. Pick the first project where the team actually wants the help.

Step 3: Set measurable success criteria before you start

Most AI projects end in arguments about "is this working?" because no one defined what "working" means. Set 3-5 metrics up front:

Volume metric (leads, conversations, bookings)
Quality metric (conversion rate, customer satisfaction)
Efficiency metric (time saved, response time)
Financial metric (revenue, cost)

Step 4: Run the pilot for 90 days

Not 30 days (too short). Not 6 months (too long). 90 days is enough to:

Give the system time to learn and adjust
Get enough data for statistically meaningful conclusions
Identify the real failure modes (not just startup issues)

Step 5: Decide — scale, adjust or kill

After 90 days: three possible paths.

Scale: Numbers hit or exceed targets. Expand usage.
Adjust: Numbers are close to targets but need optimization. Give it another 90 days.
Kill: Numbers are far from targets and you understand why. Be honest — cut it.

The last is hardest but most valuable. Harvard Business Review documents that 70 % of companies succeeding with AI long-term have shown the ability to kill projects that don't work.

Step 6: Scale to the next bleed

Once you have one successful implementation, take the next bleed on the list. Each successful pilot builds organizational competence and willingness to invest in the next.

The five traps SMBs fall into

1. "AI strategy" without a real problem

"We need to do something with AI" isn't a strategy. It's a symptom. Start with the problem.

2. Picking too big a first project

"Let's replace the entire customer service department". You die in implementation. Pick small, win, build on it.

3. Forgetting the humans

Staff need training and a voice. AI rolled out top-down without dialogue gets sabotaged (passively or actively).

4. Measuring the wrong thing

"We got 1000 chats" says nothing about value. Measure qualified leads, converted customers, hours saved.

5. Never killing anything

If the pilot isn't working after 6 months, do something. Don't let it drift on at zero.

AI strategy for SMBs — going from first pilot to scale without burning out