AI in your company, compliant, done.

A fractional CAIO takes on the role corporates fill internally: AI strategy, use-case prioritisation, tool decisions, governance under the EU AI Act and GDPR, steering delivery, and regular reporting to leadership - as a flexible external role instead of a full-time hire. The difference to a big consultancy: whoever sells the engagement also delivers it. No junior leverage model, no slide decks handed off at the end - we build until it runs, on a fixed retainer instead of a day-rate meter. For enterprise transformation programmes, the big firms are the right call. For your AI agenda, this is.

That reaction is exactly why it's external and fractional: you get C-level judgement at roughly 20-35% of what a full-time hire would cost, without the recruiting risk of a role that's genuinely scarce to hire for below ~€50M revenue. The realistic alternative for a company your size isn't "full-time CAIO" - it's "nobody owns AI." This model is built for 20-250 employees, not adapted down from an enterprise offering.

The intro call is free. The fractional engagement runs on a fixed monthly retainer; one-off projects are fixed price - you know the number before we start. We're not the cheapest option; we're predictable, and the first 30 days are anchored to one or two measurable quick wins (hours saved, cycle time) rather than a roadmap slide. What "return" means is defined together in week one, not claimed afterward.

Fair question, and one we don't dodge. Everything - decision log, playbooks, tool configurations, access - lives in your systems from day one, not ours. Part of the engagement is building an internal AI owner on your team in parallel, so the collaboration is designed to make itself replaceable. Notice periods are short precisely because lock-in isn't the business model.

No. No reseller commissions, no kickbacks. Every tool recommendation is documented with the selection criteria and the alternatives we ruled out, so you can see the reasoning, not just the pick. If an affiliate relationship ever exists on a specific tool, it's disclosed upfront - not buried.

That's usually the real reason a project doesn't start - everyone's billable or operational, and the last "transformation" ate months. It's also the argument for this model, not against it: your side of the workload is capped upfront (typically 2-4 hours a week from one sponsor), and we carry the project weight. The first use cases are deliberately chosen to give time back, not consume more of it.

That's expected, and it's designed in from the start rather than left for you to manage. We involve the works council early where co-determination applies, are transparent about what's being introduced and why, and train by role - Article 4 literacy training doubles as change management. If there's shadow AI in use already, that's an argument for governance, not against the project: it means the risk already exists, we're just making it visible. The framing throughout is "AI takes tasks, not jobs," backed by concrete before/after workflows, not a slogan.

Understandable instinct, but the gap it creates doesn't wait: your competitors' teams are learning workflows and habits now, not just tools, and that experience compounds. Part of the job is absorbing that churn for you - tool-agnostic architecture and reversible choices - so you're not the one betting on which vendor wins. Waiting doesn't avoid the risk of picking wrong; it just hands your competitors a head start while you decide.

That's exactly what the Vendor Value Extraction service is for. Most platforms are underused not because they're weak, but because deployment was disconnected from how people actually work. We audit what you have, identify the gaps, and give you a concrete path to the return you expected - in two to three focused sessions.

Since 2 February 2025, Article 4 obliges every company using AI to demonstrably train staff on AI literacy, and further high-risk obligations apply from August 2026 depending on how you use AI. Our scope is clearly bounded: we operationalise compliance - AI inventory, risk classification, Article 4 training, documentation. Legally binding interpretation is a specialised law firm's job, and we'll connect you to one on request. Most SMEs haven't even inventoried their AI systems yet, so the more urgent question is usually where to start, not whether to wait.

This is core to the job, not an afterthought. We start with data classification, offer EU-hosting or zero-retention options where relevant, review data processing agreements, and work under GDPR with encrypted connections and an NDA by default. You decide where the lines sit - our job is to make the options and risks legible, not to make the decision for you.

The default goal is a clean handover: your team owns the AI agenda, and we've built the capability and governance for them to run it. The retainer is cancellable monthly - that's stated up front, not buried in the terms. If ongoing support still makes sense afterward - strategic sparring, a standing two hours a week - we can structure that too. Either way, you decide when you no longer need us.