§ Boards · Executive committees · Leadership teams · Decision-making

Executive industrial AI workshops for leadership teams that need to decide.

For boards, executive committees and industrial leadership teams that need to align on AI strategy, assess their readiness and make concrete decisions — not learn the theory. A senior practitioner who has deployed AI in production facilitates a session built around your sector, your competitive context and the decision on your table. The output is a set of commitments: where to start, what to invest, what to stop doing, and what readiness gaps to close before scaling. This is not generic training or certification; it is decision-making support for the people who own the consequences.

Tell us what you need. Within 48 h we propose the experts who fit.

Two or three profiles from our network, with availability and indicative terms. No cost, no commitment.

I'm looking for

Thank you. We will match your brief against the network and propose two or three experts within 48 business hours. All conversations are confidential.

Profiles are shared confidentially with you. If nobody in the network fits, we will say so just as quickly. More detail to share? Complete the full brief →

We cover automotive, aerospace, food, pharmaceutical, energy and chemicals. Tell us the decision your leadership team faces and within 48 hours we propose two or three experts who can facilitate the session.

ForBoards and leadership teams deciding on AI
FormatHalf-day · Full-day · Two-day deep-dive
OutputConcrete decisions, not certificates
01 When it makes sense

Four situations where a workshop unblocks the decision.

01

The board needs to approve an AI investment and cannot assess the risk

The proposal is on the table. The board does not have the production-floor experience to challenge it. A workshop brings the evidence and the frameworks to decide with confidence — approve, modify or reject.

02

The executive committee is not aligned on where to start

Every function has a different AI priority. Operations wants predictive maintenance, commercial wants demand forecasting, IT wants a data platform. A workshop forces prioritisation based on deployment readiness and business impact.

03

A leadership transition or strategy refresh puts AI on the agenda

A new CEO, a new strategy cycle or a board mandate to move on AI. The workshop aligns the new leadership team on what AI means for this company, this sector and this competitive position — before commitments are made.

04

Pilots are multiplying but no decision on scaling has been made

Several pilots are running. None has moved to production. The leadership team needs to decide which to scale, which to stop and what the organisation needs to make that transition — not another pilot, a decision.

02 Decisions the workshop helps make

The commitments a leadership session produces.

A workshop is not a lecture. It is a facilitated decision session. The expert brings the production-floor evidence, the sector context and the decision frameworks — the leadership team brings the judgement. Together they produce concrete commitments:

  • Where to deploy first: which production line, which plant, which use case — prioritised by deployment readiness, business impact and operational risk, not by technical novelty.
  • What to invest and what to stop: which AI initiatives to fund, which to consolidate and which to discontinue, with a rationale the board can defend.
  • Build, buy or partner: whether to develop internally, purchase a platform or partner with an integrator — with the trade-offs made explicit for the leadership team.
  • Readiness gaps to close: what the organisation needs before scaling — data, talent, architecture, governance — and in what order, with ownership assigned.
  • Governance and risk appetite: what level of autonomy AI systems will have in production, what the escalation paths are, and what the board needs to see to be comfortable.

For ongoing strategic guidance beyond a single session, see our board advisory service. For executing the decisions the workshop produces, project leadership or forward-deployed experts can take the work forward.

03 Scope and formats

Three workshop formats, one purpose.

FormatWhen to use itWhat it produces
Half-day readiness assessmentThe leadership team is starting to think about AI and needs a baseline: where the organisation stands, what is realistic and what to consider next.A readiness snapshot with strengths, gaps and a shortlist of decision areas to explore further.
Full-day strategy alignmentThe team has a direction but is not aligned on priorities, investment or sequencing. The decision needs to be made and committed to.A prioritised set of commitments: where to start, what to invest, what to stop, and what readiness gaps to close.
Two-day deep-diveA complex decision is on the table — a major investment, a multi-site rollout, a vendor selection — and the leadership team needs time to work through the evidence and the trade-offs.A detailed decision framework with risk assessment, deployment sequencing and governance recommendations ready for board approval.
04 How the sessions work

What happens before, during and after.

The workshop is built around your decision, not around a slide deck. The expert prepares with context on your company, your sector and your operational reality, so the session time is spent on your choices — not on generic frameworks.

  • Before: a pre-session briefing with the sponsor — typically the CEO, COO or strategy lead — to understand the decision on the table, the participants, the sector context and the operational baseline. The expert reviews any existing AI initiatives, pilots or vendor proposals.
  • During: a facilitated session with the leadership team. The expert brings production-floor evidence, sector benchmarks and decision frameworks, but the time is spent working through the team's specific choices — challenging assumptions, testing readiness and forcing prioritisation.
  • After: a written summary of the decisions made, the rationale behind them and the next steps — including readiness gaps to close and where to seek deeper support, whether through consulting, project leadership or due diligence.

For guidance on how to frame the ROI conversation before the workshop, the industrial AI project ROI guide covers the numbers that matter to a board. For assessing readiness, the due diligence checklist doubles as an internal readiness tool.

05 Who should attend

The people who own the decision.

The workshop is designed for the people who will own the consequences of the decisions made. Typically five to twelve participants — enough for a real conversation, small enough to reach alignment:

  • CEO or Managing Director: owns the strategic direction and the decision to commit resources to AI.
  • COO or VP Operations: accountable for the production environment where AI will deploy, and for the operational risk of doing so.
  • CFO: assesses the investment case, the ROI framework and the financial risk of the AI roadmap.
  • CTO or CIO: owns the technology architecture and the data platform that AI depends on.
  • Head of Digital Manufacturing or Industry 4.0: bridges the operational and technological sides of the AI deployment.
  • Board members or non-executive directors: for board-level sessions, the people who need to challenge and approve the AI strategy with confidence.

For sector-specific context that shapes the workshop, see automotive, food and beverage, pharmaceutical manufacturing, energy, aerospace and chemicals.

06 Frequently asked questions

About executive industrial AI workshops.

Engineer reviewing production data beside an automated manufacturing line.
How is this different from AI training or certification programmes?

Training programmes teach individuals. These workshops align a leadership team and produce decisions: where to deploy first, what to invest, what to stop doing. The output is a set of concrete commitments, not a certificate.

Who should attend?

The executive committee, the board, or a leadership team that owns the AI decision. Typically five to twelve participants. The workshop is designed for decision-makers, not for technical teams — though a CTO or Head of Digital is usually in the room.

How long is a workshop?

A half-day readiness assessment, a full-day strategy alignment, or a two-day deep-dive for complex decisions. The format is chosen based on where the leadership team stands and what decision is on the table.

What is the first step?

The form on this page. Within 48 business hours you receive a proposal with the experts from the network who fit your sector and your decision stage. You decide whether to proceed; the proposal itself carries no cost or commitment.

Can the workshop be tailored to our sector?

Yes. The workshop is built around your sector, your competitive context and your operational reality. The expert prepares with a pre-session briefing on your company and your AI readiness, so the time is spent on your decisions, not on generic frameworks.

07 Request experts

Tell us what your leadership team needs to decide.

Your sector, the decision on the table and where the team stands. That is enough for us to prepare the proposal.

I would rather send a detailed brief

Tell us what you need. Within 48 h we propose the experts who fit.

Two or three profiles from our network, with availability and indicative terms. No cost, no commitment.

I'm looking for

Thank you. We will match your brief against the network and propose two or three experts within 48 business hours. All conversations are confidential.

Profiles are shared confidentially with you. If nobody in the network fits, we will say so just as quickly. More detail to share? Complete the full brief →