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How long does an AI implementation take? Realistic timelines for SMEs

Anyone quoting you 'live in two weeks' for a production AI system is selling a demo. Anyone quoting a year is selling day rates. Here are the timelines that hold up in practice — and the factors on your side of the table that decide the pace.

Last updated: 11 June 2026

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In short

Realistic SME timelines: an AI audit takes a few weeks; a proof of concept typically around one to two months; a production implementation several months from start, depending on integrations. The pace is set less by the AI than by data access, decision speed and internal availability — the fastest projects are the ones where those three are arranged up front.

Phase by phase

What each phase takes, and why

Duration follows the fixed-price ladder — each phase has a defined deliverable, so each has a boundable timeline:

PhaseTypical durationWhat determines it
AI audit & strategy (€2,500)a few weeksagenda room for interviews and the baseline measurement
Proof of concept (€20,000)roughly 1–2 monthsdata access arranged? acceptance criteria agreed? test users available?
Production build (from €50,000)several monthsintegrations (ERP/CRM), security review, staff training, go-live plan
Managed AI (€500/month)ongoingstarts at go-live: monitoring, updates, improvements
What sets the pace

The three factors that actually decide your timeline

In post-project reviews the schedule was almost never set by model work. It is set by:

Warning signs

Timelines that should make you suspicious

Two red flags in quotes. 'Production-ready in two weeks' means a demo without edge-case hardening, integration or training — the classic route to a failed pilot. '12–18 months programme' for a first SME use case means you are funding someone's utilisation, not your own payback. A first process live within a quarter-to-two is ambitious but honest; check what implementation costs for the budget side of the same question.

FAQ

Frequently asked questions

How long does an AI audit take?

A few weeks in practice: interviews with process owners, a baseline measurement of the current process, and a ranked shortlist of use cases with a business case each. The limiting factor is usually agenda room, not analysis.

How long does a proof of concept take?

Typically around one to two months when data access is arranged and acceptance criteria are agreed up front — both conditions of our fixed €20,000 PoC. Without those arranged, PoCs drift; that drift is a choice, not a law of nature.

How long until AI is live in production?

Count in months from project start, driven mainly by integrations with your ERP/CRM, security review and staff training. A realistic honest answer for a first SME process is 'within one to two quarters', not 'in two weeks'.

Can we speed it up?

Yes, on your side: arrange data access before the start, set a weekly decision moment, and free up the process owner a few hours a week. Those three compress timelines more than any technical choice.

What happens after go-live?

Quality maintenance — models, data and processes change, and unmanaged AI drifts. Our managed AI (beheer) covers monitoring, updates and improvements for €500 per month, so the system keeps earning what the business case promised.

Want a timeline on your process?

The €2,500 audit gives you a ranked use-case shortlist with a realistic timeline per case — not a sales calendar.

Book a free consultation →