Fractional AI Director

An external AI director is a senior leader who takes over the company's AI programme without being a full-time employee. At encorp.ai the role is called Fractional AI Director: they join leadership meetings, decide which processes to automate first, choose vendors and tools, and are accountable to leadership for the results of the AI programme.

The difference from a consultant is accountability. A consultant recommends and leaves; an external AI director stays, tracks the metrics and lives with the consequences of their decisions. They also own AI policy, the AI risk register and EU AI Act compliance, so they often act as head of AI governance too. When the in-house team is ready, the role is handed over to an employee — with no platform or vendor lock-in.

A part-time AI director makes sense when AI is already used in several departments but nobody owns the programme as a whole. Typical signs are scattered licences for different tools, pilots without a clear result, and questions from leadership about risk and the EU AI Act that nobody can answer.

The engagement is usually 1–2 days a week for 6–12 months. In the first 30 days the AI director audits the processes and prepares a roadmap; over the following months they bring the first projects to results and build the rules for governing AI. If more time is needed at the start, the engagement can begin with more days a week and taper off. The model fits better than a full-time hire while the workload does not yet justify one.

The main differences are cost, speed and flexibility. An AI director for hire from encorp.ai starts without a hiring process; pricing is agreed based on time and scope. A full-time AI director requires recruitment that often takes months, and a full salary even when the workload is smaller.

An external AI director brings experience from many projects and a team behind them: specialists in training, automation and running AI systems. A full-time director has the edge when AI is a core part of the product and the company needs someone full-time for years. That is why the two models are often combined: the external AI director sets up the programme and then helps the company hire and onboard its own person.

An AI Director leads every AIM package — that is how the Encorp AIM method is built. AIM packages run for 3, 6 or 12 months, are sold on results rather than hours, and cover a team of up to 20 people. The AI Director agrees with leadership what has to be achieved, organises the work along the phases of the method and is accountable for the results at the end of the package. In other words, the AI Director owns the result end to end.

In phase 1, Enablement (weeks 1–4), they lead the kick-off, the readiness profile and AI training for companies, and make sure the team has a working quick win by week 4. In phase 2, Roadmap and PoC (weeks 5–10), they turn the opportunity map into a roadmap and set a KPI and a baseline for every PoC. In phase 3, Deployment (weeks 11–12), they oversee how the solutions from AI business process automation go into production and are handed over to process owners; from month 4 they stay responsible for the result in AI Ops. The method is described on AI transformation for companies · the Encorp AIM method, and the two models are compared in the guide Fractional AI Director: when it pays off and what it delivers.

The AI Director leads the two decision gates together with your Sponsor. At Gate 1, at the end of week 4, the Sponsor picks 2 to 5 processes for PoCs from the opportunity map; at Gate 2, at the end of week 10, the KPI of every PoC is compared with its baseline and the decision is Go, Iterate or Stop. Without a signed Sponsor decision the work does not move on to the next phase. Inside an Encorp AIM transformation the first quarter follows these 12 weeks rather than the 30/60/90 plan of a stand-alone engagement.