Fractional Chief AI Officer FAQ. Questions worth asking before you commit.

NordOps Consulting is a fractional Chief AI Officer for growing companies, SaaS first, with 25 years of running operations behind it. It builds in three layers. First the data foundation: your CRM and systems set up properly, the data structured across them, and the Processor processing it into one agreed version of the truth — because without data, there is no AI to build upon. Then the AI layer: MCP connects that data to the AI assistant your team uses, so anyone with permission can pull data, push data and trigger actions in plain language. Then purpose-built department agents for Finance, Sales and Customer Success, each with its own reports and actions, within permissions, with approval where needed and an audit trail. You own what is built.

One person who owns AI for a company that needs one but cannot justify a full-time executive. The role covers where AI goes and where it does not, which data it may read, vendor and model choices, governance, adoption across the teams, and reporting to management. With NordOps Consulting the same person also builds the agents, so the plan and the working system never drift apart. It is a role, not a legal requirement: no law obliges a company to appoint one.

Most AI consultancies advise and hand over a roadmap; the build goes to someone else. NordOps Consulting comes from operations first — 25 years of knowing how a process should run before automating it — then measures the saving, and builds and runs the agents itself. Builds are priced on the saving they prove, which no comparable offer does.

The prices are published. The AI Snapshot is a fixed €2,500–3,500 and takes about a week. The AI Readiness Assessment starts from €4,500 and takes two to three weeks. Both are credited in full against what follows. The fractional Chief AI Officer retainer starts from €3,000 a month for about two days a month; the Operating and Embedded tiers start from €6,500 and €11,000 a month and are scoped on a call; three-month minimum, then monthly. Builds cost 30% of the first-year saving that is measured and proven before anything is built, invoiced monthly across delivery — or a fixed price agreed before work starts, where the value is a capability rather than a measurable saving. Third-party costs are passed through at cost. Full detail is on the Pricing page.

The first paid step, about a week, at a fixed €2,500–3,500. It gives you an inventory of the AI already in use in your company, including personal tools nobody approved, a check of your AI-literacy and transparency duties, and a shortlist of the three processes where AI would pay first. It is credited in full if you go on to the Assessment or a build. What it covers.

Before any build, yes: it is where the saving is measured with your own salary, headcount and process figures and agreed in writing, and the 30% build fee is calculated from that number. It also produces the 90-day roadmap. It starts from €4,500 and is credited in full against the build if you go ahead.

Yes, fully: handing it over is part of the build price. The complete source code, documentation and infrastructure are yours at handoff. There is no separate transfer fee and no ongoing dependency on NordOps Consulting; you can host, change or run it wherever you choose, including with another supplier. We never mark up your model contract or your licences. If you would rather have what we build as a product, it is available on standard SaaS terms — and your data and your custom work stay yours.

The one your team already has. The NordOps AI Agent connects through MCP, the open standard for connecting AI assistants to real systems, so it works inside the assistant your company has standardized on. You keep your own AI contract and your own data-processing terms, and you can change vendor without changing what was built.

Because without data, there is no AI to build upon. In most companies the CRM is half set up and disagrees with billing and product data, so an AI agent on top of it would be guessing. The first build sets up the CRM and the systems around it, structures the data across them, and puts the Processor in place to keep one agreed version of the truth. The data foundation.

Finance: reports on cash and receivables, MRR, ARR and margin; chases overdue invoices, reconciles payments and issues a credit note behind an approval. Sales: reports on pipeline, forecast and win/loss; logs the call and the next step, updates the deal stage and creates the quote within your pricing rules. Customer Success: reports on renewals due, customer health and churn risk; opens a renewal, schedules a quarterly business review and escalates an at-risk account. Every action runs within the permissions of the person asking and leaves an audit trail. How the agents work.

During build, pilot and testing, systems run on European infrastructure — self-hosted source control and runtime at a data center in Germany, with no US jurisdiction in the chain. GDPR, NIS2 and EU data-residency requirements are treated as design requirements from the start rather than retrofitted. At handoff you choose the final destination: continue on the European infrastructure with billing transferred, or move to your own.

For most companies using AI, two duties apply today: taking measures to build AI literacy among the people who use it (Article 4), and telling people when they are dealing with an AI system (Article 50). The heavier high-risk rules, for example for AI used in hiring, apply from 2 December 2027. The AI Snapshot shows which of these apply to you. It informs; it is not legal advice.

Growing companies in Europe where AI is being used but nobody owns it — first of all B2B SaaS companies, roughly 20 to 200 people, where the CRM, billing and product data drive renewals, handovers and the pipeline. AI for SaaS shows what that looks like. Companies outside SaaS are taken on where the operational fit is genuine.

Because a build is priced at a fixed share of the saving rather than a quoted figure, payback is structural, not a forecast. At 30% a build pays for itself in about 3.6 months and returns roughly 3.3× its fee across the first year, whatever the size of the saving. The only figure open to argument is the saving itself, which is why it is measured and agreed before anything is built.

NordOps Consulting was founded by Claus Nielsen, a Danish operator based in Málaga, Spain, with more than 25 years of operational leadership across cybersecurity SaaS, telecoms and technology — including a senior operational role at a European cybersecurity software company. Today Claus works as a fractional COO and Chief AI Officer and builds the systems in person: strategy that is actually built, run and measured, not designed in theory. See what has been built.