Frequently asked questions about myCDO

A fractional CDO is an external Chief Digital, Data & AI Officer who dedicates to your company only the hours it actually needs, without the cost of a full-time executive. They define the digital and AI strategy, prioritize use cases by return, decide what to build and what to buy, lead implementation and govern the data. With myCDO you get senior digital, data and AI leadership embedded in your business, focused on measurable impact instead of scattered experiments.

We start from the business, not the technology. We map your processes, identify where there is repetitive work, bottlenecks or dependence on key people, and estimate for each use case the expected return, the operational impact and the technical feasibility. With that matrix we build a phased roadmap: first the cases with the highest ROI and lowest risk, which build credibility and fund the next ones. That way you avoid ungoverned scattered experiments and every AI investment answers to a measurable goal.

It depends on each case, and that is exactly one of the decisions we lead. If there is software that solves the problem at a reasonable cost, buying usually wins; if the process is a differentiator for your business, building can make sense. When we build, we define the real MVP —the minimum that creates value— and challenge budgets and vendor proposals so you never overbuild. AI is making custom development cheaper, but bad implementation is still expensive: that is why every euro is justified before it is spent.

Yes, as long as it is deployed with governance. Before rolling out any tool we define safe-use policies: which data can be shared with each system, which tools are approved, who can access what, and how data protection regulations are met. We select vendors and configurations that do not use your information to train third-party models, and we put in place the data structure and governance that AI needs. The real risk is not using AI, but letting your team use it on their own without judgment or control.

Yes: adoption is part of the service, not an extra. We train your team by role and with real use cases from their daily work, create playbooks and safe-use policies, and stay close during the first weeks to answer questions and cement habits. We also turn your company's internal knowledge into assistants, tools and portals the team uses every day. A tool nobody uses is a cost, not an investment: that is why we measure adoption just like every other result.

We work in phases, not endless projects. We start with a diagnostic and a prioritized roadmap; then we implement the first use cases in short cycles that deliver visible value, and continue with successive cycles based on results. The total duration depends on the scope and the pace of your organization. Success is measured with indicators agreed with you from the start: hours saved, shorter lead times, errors avoided, real adoption by the team, and return on investment for each use case.