BENELUX · Companies 200-5.000 FTE

The COO's AI Challenge

Technology doesn't create AI ROI.
Operational adoption does.

The COO is becoming the most important role in AI transformation. We're mapping how COOs across Belgium, the Netherlands and Luxembourg are turning AI from pilots into operational impact.

Participate in the benchmark About 5 minutes · confidential · benchmark shared with participants

COO AI Transformation Benchmark

Join to receive the COO AI benchmark

5 minutes of your time to unlock unique insighs. Particpate in the COO benchmark for AI transformation across industries in Belgium, the Netherlands and Luxembourg, focused on organizations with 200 to 5.000 employees.

  • Receive the benchmark. Every participant gets the aggregated results and insights by industry and company size.
  • Your data stays yours. Responses are not shared with third parties.
  • About 5 minutes. A focused survey on how you approach AI transformation as COO.
  • 100% for and by COOs. We only invite real COOs. We want the survey to reflect the real challenges and opportunities COOs face.
Start the survey About 5 minutes · confidential
COO AI Transformation Benchmark report cover Interviews ongoing.
Results coming soon.
Stefan Seghers

Led by

Stefan Seghers

Partner, ENIN

Years of experience in digital transformation, data and AI.

CDO CMO CIO Amazon Alpro Roularta

What you'll receive

Insights from the benchmark

The survey asks practical questions COOs face every day. Every participant receives aggregated findings across these themes, benchmarked by industry and company size.

1

Sources of resistance

Where adoption stalls: skills gaps, trust issues or change fatigue. See how peers across BENELUX diagnose each barrier.

Skills Trust Workflow disruption Change fatigue
2

KPIs that matter

How leading COOs measure AI success across three domains and which metrics separate pilots from operational impact.

Adoption Process improvement Outcome & impact
3

Biggest implementation mistakes

Patterns from failed and stalled rollouts. What COOs wish they had done differently, so you can avoid the same traps.

4

Questions before you start

The checklist experienced COOs use before committing to AI in a process, covering every angle that determines success or failure.

Process People Technical Measurement Resources
5

The COO role long-term

How the role is shifting as AI moves from experiment to operational infrastructure and what that means for your mandate.

6

How to evaluate vendors

What separates tools that deliver ROI from shelfware. Criteria COOs use to assess fit, integration and long-term value.

Is the COO the AI change agent?

In conversations with COOs, the same theme keeps coming back: the COO has become the company's change agent. AI is about process redesign.

You serve as the centerpoint for cross-functional AI initiatives. The CTO/CIO focuses on technology. The CEO focuses on strategic direction. But you must balance operational performance while implementing change.

The COO as integration point between CEO strategy, CTO technology and operations teams

Tech deployment is IT's job. Tech adoption is an operations problem.

The COO estimates whether employees will use AI tools, whether workflows can change and whether efficiency gains actually materialize.

3 key challenges

What we hear from COOs

1

Process redesign

AI that doesn't integrate into robust workflows creates more work. It adds friction and reduces adoption. Without integration, you won't see the efficiency gains.

2

Change management

Skill gaps and employee resistance are major barriers. 53% of employees worry that AI makes them replaceable. The COO must communicate with teams and drive adoption. (Deloitte Research)

3

Measure results

Only 4% of companies achieve significant financial benefit and ROI from AI. The gap is not technology. It is operational execution. (PwC AI in Operations)

Where COOs should start

Sequence for early wins

The order matters. COOs who pick the right first targets build credibility and momentum. Those who don't often stall before they prove value.

Start here

  1. 1
    High-volume, low-complexity processes

    Deliver quickly. No risk.

  2. 2
    Pain points employees complain about

    Goodwill for broader change.

  3. 3
    Clear before-and-after measurements

    You need proof.

  4. 4
    Areas that won't disrupt critical operations

    Quick wins without putting the core at risk.

Avoid for now

  1. 1
    Complex, cross-functional processes

    A lot of coordination.

  2. 2
    Areas without clear success metrics

    You can't prove value.

  3. 3
    Processes central to revenue generation

    Risk of disruption.

  4. 4
    Changes requiring significant behavioural change

    Build trust first.

We're mapping where BENELUX COOs actually start — and what results they see. Share your approach in the benchmark.

When COOs lead AI adoption, organizations move beyond deploying technology.

They achieve real operational impact and ROI.

Join the benchmark