From pilots to payoff: CEO and CIO make AI deliver value

AI delivers when CEOs and CIOs move as one, turning pilots into real results. On 20 Jan at Kinepolis Kirchberg, bring one use case, one metric, one decision.

Published on: Jan 16, 2026
From pilots to payoff: CEO and CIO make AI deliver value

The CEO-CIO duo: the key to value-creating AI

On 20 January 2026 at Kinepolis Kirchberg, "Paperjam 10x6 - CEO and CIO together in the AI (R)evolution" puts a spotlight on a simple truth: AI creates value when business and technology lead together. Daniel Meyer, Country Leader at Fujitsu Technology Solutions (Luxembourg), lays out how that partnership turns pilots into performance.

Why the CEO-CIO partnership is non-negotiable

"To realise AI's full potential, companies must rethink how they operate and decide," says Daniel Meyer. "This cannot be pushed by IT alone or the business alone. The CEO sets the value agenda and priorities. The CIO secures feasibility, security and technical coherence. When they move as one, AI becomes a lever for transformation that produces concrete and durable outcomes."

What still blocks scale

The sticking points are rarely technical. Culture, governance and skills lead the list. Many firms still treat AI as isolated experiments with weak links to P&L goals. Add data quality, cybersecurity and compliance, and momentum stalls. Overlook the human impact, and resistance grows. The answer is to treat AI as a company-wide change led by people, not a set of tools.

From pilots to value at scale: what to require

Leaders should start with a sharp value question: which business problem are we solving, and how will we measure it? From there, make sure foundations and guardrails are in place, and bring people along from day one.

  • Business case: define one problem, one owner, one metric that matters.
  • Tech readiness: modern data stacks, integration patterns and observability.
  • Data governance: clear ownership, quality standards and lineage.
  • Security by design: model risks, controls and monitoring baked in. See the NIST AI Risk Management Framework for a practical baseline.
  • Compliance: document usage, explainability and approvals where required.
  • People: training, change champions and role redesign to reduce friction.
  • Ops model: who builds, who runs, who approves and how work flows.
  • Proof of value: time-boxed pilots tied to production paths, not labs.

"We back responsible, pragmatic AI that amplifies human impact rather than replacing it," adds Meyer. That mindset keeps efforts tied to strategy and results.

A 90-day plan CEOs and CIOs can run together

  • Days 0-30: Pick two priority use cases with CFO-level metrics. Map data sources, risks and decision owners. Set a standard for model, security and compliance reviews.
  • Days 31-60: Build thin slices to production. Instrument measurement. Train affected teams on new workflows and escalation paths.
  • Days 61-90: Go live for a limited audience. Publish weekly value and risk dashboards. Decide scale-up, fix or stop. Codify a repeatable playbook.

Why this matters now

AI is reshaping how value gets created across the chain-sales, service, operations, finance and IT. Firms that pair clear business ownership with disciplined engineering will compound gains. Those running disconnected pilots will burn time and trust.

Meet, learn and compare notes

The 20 January session at Kinepolis Kirchberg is an opportunity for CEOs and CIOs to align expectations, compare playbooks and set near-term goals together. Bring one real use case, one metric and one decision you're ready to make.

Next steps

If you want a curated way to skill up leaders and teams on AI strategy and execution, explore the AI Learning Path for CIOs, the AI for Executives & Strategy resources, or the AI Learning Path for Business Unit Managers.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)