Run and monitor
What we built, kept running: monitoring, fixes, and a monthly report on the same metric your KPI was written against. Not time sold by the hour — the continuation of the guarantee.
Six services, each priced up front. Start with the measurement, then build only what pays back.
Inbound calls handled end to end: intake, qualification, booking, and escalation to a person. ElevenLabs/Vapi wired into your telephony and CRM, with a containment rate written into the contract.
What one handled call, one enquiry, one processed document costs you today — measured from your own telephony, CRM and inbox exports. Three to five candidates for automation with the ROI on each, the assumptions behind the numbers and how to check them, and a written recommendation, including not to build if the economics do not hold. Credited in full against a build of €5,000 or more started within 60 days.
1–3 business processes: n8n/Make + LLM, integrations, documentation, internal champion training, EU hosting. €2,500 buys one process end to end; €8,000 buys three, with the integrations and the monitoring around them.
An inventory of the AI systems already in use, risk classification, a gap analysis of your deployer duties, and a 90-day roadmap with a named owner for every gap.
An assistant for one role or team: prompts, knowledge base, integration into your work channels, a team playbook, and 30 days of support.
Agent for one channel on a fixed scope: 1–2 integrations, guardrails, a dashboard, prompt A/B testing and regression evals. Four weeks, fixed, not an open-ended build.
The baseline — three things that need to be true.
The size where AI pays back fastest: one automated process is a visible share of total cost, so the return shows up in months rather than years. Not a hard floor — the smallest deployment we have seen work is a 7-person firm running three workflows.
A process that runs every day and grows with the business: documents, inbox or phone. So far the only way to keep up has been to put more people on it, and that is the cost that compounds.
Nobody inside has taken AI to production yet, or you need to know whether hiring for it is worth a salary before you commit to one. A pilot answers that in weeks, and trains one of your people to own what we ship.
We prove value fast, then scale what works.
We map your processes, identify automation candidates, and score them by ROI, feasibility, and strategic value.
Build the highest-ROI automation in production. Real data, real integration, real measurement.
Roll out to full volume, add integrations, train teams, and establish monitoring dashboards.
Continuous improvement: new automations, performance tuning, and expanding to adjacent processes.
Benchmarked against 36 European providers with published prices, August 2026.
| Cheap shop | allinc lab | In-house | Boutique / agency | |
|---|---|---|---|---|
| Voice Agent | €2,500–4,500 | €3,500–8,000 | €5,200–10,400 | platform from €90,000/year |
| Diagnostic | — | €1,500 | €2,600–5,200 | €2,000–5,000 |
| Workflow Automation | — | €2,500–8,000 | €2,600–10,400 | — |
| EU AI Act Audit | €2,500–5,000 | €4,000–9,900 | €5,200–10,400 | Pexon €7,900–14,900 |
| Custom Assistant | — | €1,000 | €5,200 | — |
| AI Agent | €1,000–5,000 | €8,000–10,000 | €10,400 | €25,000–150,000 |
The in-house column is what those weeks cost you, not what the engineer is paid. A senior AI engineer commands €90,000 a year in Europe; employer contributions, equipment, tooling and paid leave bring the real cost to about €125,000, and you get roughly 46 working weeks out of the 52 you pay for — about €2,600 a week. It assumes that person is already hired and already knows the stack; it excludes recruiting, which runs to months, and the risk of the first build being the one they learn on. Three rows have no cheap-shop or boutique figure because none of the 36 benchmarked providers publishes one. The diagnostic row is the exception we price against directly: two providers sell a comparable read-through of your processes at €2,000–5,000, neither of them measuring a baseline from your own exports.
Everything above is a fixed scope at a fixed price. These are the two exceptions, and neither is a condition of a build.
What we built, kept running: monitoring, fixes, and a monthly report on the same metric your KPI was written against. Not time sold by the hour — the continuation of the guarantee.
For work whose scope is not clear yet. A fixed price where the scope is known, a week at a time where it is not, with what the week produced written down at the end of it. You decide each week whether there is a next one.
Monthly work is never a condition of a build, and nothing we build for you depends on keeping us. Tooling and model costs are billed at cost and named in the proposal — we do not mark them up. Everything produced stays yours whether or not the month continues.
We agree one measurable KPI before we start — containment rate, hours saved, extraction accuracy — and write it into the contract. Miss it and you get 50% of the fee back, or a free extension until we hit it — your choice.
Of the 36 European providers we compared, 11 publish their terms of service. None of the 11 puts money behind a metric.
Benchmarked against 36 European providers with published prices, August 2026. Four were removed from the sample after their legal pages showed a different country than their marketing.
A note on the numbers. We label every figure on this site: industry benchmark when it comes from published research, client result when it is measured on a client’s own data, live deployment when it is something we run ourselves. Anything unlabelled is an estimate, and we say so. There are no client results on this page yet.
Since 2 August 2026 the high-risk obligations apply to Annex III systems — Art. 9–17 for providers, Art. 26 for deployers — with Annex I products following in 2027. The Art. 4 AI-literacy duty has applied since February 2025. Penalties reach €35M or 7% of global turnover for prohibited practices, €15M or 3% for high-risk breaches.
An inventory of every AI system already in use, risk classification against Art. 5/6/50, and a gap analysis of your Art. 26 deployer duties.
A named owner for every gap, a fundamental-rights impact assessment and a data-protection impact assessment (FRIA, DPIA) where required, a 90-day roadmap, and a one-page summary your board can actually read.
EU hosting by default. Self-hosted models where the data is sensitive, which removes the API vendor from the picture entirely.
Most do, and it is worth saying out loud: 42% of companies abandoned most of their AI initiatives in 2025, up from 17% the year before, and the average organisation scrapped 46% of its proofs of concept between pilot and adoption (S&P Global Market Intelligence, survey of 1,000+ enterprises). Those are open-ended programmes. A fixed scope with the before number measured first and a go/no-go metric in the contract fails differently — cheaply, in weeks, with a documented answer you keep.
A typical automation runs at €20–80/month for the VPS and €30–200/month for LLM API calls. Larger builds add €200–2,000/month of infrastructure. Model and platform costs you pay your providers directly — we do not mark them up. The 7-person firm mentioned above runs three workflows at €20–30/month. Self-hosting removes the API bill entirely.
That tier is crowded with providers who have never shipped: one states outright that it has no clients yet, another shows Google reviews where client metrics should be. The deeper problem is what happens after you sign. Of the 36 European providers we compared, 25 publish no terms of service at all — and eight of those still promise a guarantee on their marketing page. One promises full code ownership and has no contract published anywhere. Another sells EU AI Act compliance while having no privacy notice of its own.
A permanent senior AI engineer is a €90,000+/year commitment plus months of hiring — before you know whether the use case works at all. A pilot answers that question in 2–6 weeks, and trains one of your people to own what we build.
EU hosting by default, self-hosted models where the data is sensitive — so where you need it, nothing leaves the EU and there is no third-party API in the path at all.
You keep the written report, the roadmap, the prototype, and the source code. There is no penalty for deciding not to.
The free call takes 30 minutes and usually happens within a week, and the written page follows within two working days. Work starts as soon as the scope is signed.
You walk us through one process. Within two working days you get one written page back: which service fits, the order of magnitude it would cost, and whether we think it is worth building at all — written to be forwarded to whoever signs the budget, not to be read by you alone.
If the call shows you do not need AI for this yet, we say so on the call and write down what to do instead. That page is still yours.
The measured version of that answer is the Diagnostic: what one handled call, one enquiry, one processed document costs you today, and a ranked list of what to automate. It is €1,500, it takes 1–2 weeks, and it comes off the build in full if you go ahead within 60 days.
The call is with the person who would build it. Not a salesperson, not an account manager. The page is free and there is nothing to sign for it.