20 AI strategies that actually work for SMBs.

The ones that deliver measurable ROI in 1–6 months — not the ones that sound good in conference talks. Filter by cost, savings, function, or deploy time. Take the matching questionnaire and we'll rank them for your business.

20 strategies 7 business functions covered €2k – €60k monthly savings range 1 – 10 weeks to deploy

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04 · Find your fit

Where does it hurt?
A 10-second triage.

Three questions. The output is the two or three automations from the catalog that map to your situation, with a realistic time-saved range and a sample timeline. It is not a quote, and it is not a quiz that ends in a sales call you didn't ask for.

01 · Which department is bleeding hours?

02 · What does the pain feel like?

03 · How big is the team?

Output · Personalised match Sales / Lead response / 10–50

For most 10–50 person sales teams with slow inbound response, three automations cover ~80% of the upside.

Realistic recovery: 14–22 hours/week reclaimed across the team. First system live in 3–5 weeks. Typical MVP scope: €10k–€16k.

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05 · The other side

Why most AI companies fail.

After 184 engagements we see the same five patterns kill projects — most of them weeks before anyone admits the project is dying. Each links to the field note that goes deeper.

They buy a tool before defining a workflow.

The tool sits in a tab nobody opens. Adoption was always treated as the last problem instead of the first. Why your last AI tool got abandoned →
They automate the visible thing instead of the expensive thing.

Slack notifications get a chatbot; the €40k invoice queue stays manual. The four-column ROI structure — labour, error, opportunity, decay — would have ranked them differently. The €40,000 question →
They skip onboarding, then blame the team.

The system works; the team doesn't trust it; nobody opens it after week two. Trust failure is the deepest failure mode and the hardest to recover from. The four onboarding moves that fix it →
They treat AI as a one-time install instead of a system that needs maintenance.

Models drift. APIs change. Prompts decay. A 36-month decay curve eats the year-one savings if nobody is watching. The honest curve →
They don't measure, so the budget gets cut at the next quarterly review.

Without baseline numbers and an eval harness, no one can prove the system works. "Human-in-the-loop" then becomes theatre — a reviewer rubber-stamping in three seconds. The pattern, properly →

20 AI strategies that actually work for SMBs.

Where does it hurt?
A 10-second triage.

For most 10–50 person sales teams with slow inbound response, three automations cover ~80% of the upside.

Why most AI companies fail.

They buy a tool before defining a workflow.

They automate the visible thing instead of the expensive thing.

They skip onboarding, then blame the team.

They treat AI as a one-time install instead of a system that needs maintenance.

They don't measure, so the budget gets cut at the next quarterly review.

Tell me what hurts.
I'll tell you if I can help.

Stefan Reichenbach

Tell me about the workflow that's bleeding hours.

20 AI strategies that actually work for SMBs.

For most 10–50 person sales teams with slow inbound response, three automations cover ~80% of the upside.

They buy a tool before defining a workflow.

They automate the visible thing instead of the expensive thing.

They skip onboarding, then blame the team.

They treat AI as a one-time install instead of a system that needs maintenance.

They don't measure, so the budget gets cut at the next quarterly review.

Tell me what hurts.I'll tell you if I can help.

Stefan Reichenbach

Tell me about the workflow that's bleeding hours.

Tell me what hurts.
I'll tell you if I can help.