Skip to content
Hyperion Consulting
  • Product System
  • Capabilities
  • Industries
  • Engagements
  • Evidence
  • About
Discuss your product
Hyperion Consulting logo - Physical AI and industrial AI consulting

Decision engineering for Physical AI — full-cycle product leadership and architecture across solution, system, software, data and AI.

Services

  • Product System
  • Industries
  • Engagements
  • Product Decision Review
  • Product Leadership Program
  • Product Operating Partner
  • Discuss your product

Company

  • Capabilities
  • Evidence
  • Insights
  • About
  • Delivery & Trust
  • Resources
  • Contact
Privacy PolicyTerms of UseTerms of SaleLegal NoticeAccessibilityData Subject RequestEU Online Dispute Resolution (opens in a new tab)Newsletter
(opens in a new tab)(opens in a new tab)(opens in a new tab)(opens in a new tab)
◆Forbes Tech Council(opens in a new tab)◆French Government AI Ambassador(opens in a new tab)◆FranceNum Activateur(opens in a new tab)
© 2026 Hyperion Consulting.
92100 Boulogne-Billancourt, France

PHYSICAL AI PRODUCT OPERATING PARTNER

Embedded fractional CPO or Head of Product leadership for Physical AI.

A recurring product-leadership mandate for organisations whose founder or CTO still carries product responsibility, or whose portfolio needs coherence — an operator, not an analyst, accountable for product decisions, launch governance and the operating cadence.

Discuss an Operating Partner engagementStart with a 30-minute, no-obligation fit call.

One owner of the production bar.

When several AI initiatives compete for attention, the risk is inconsistent standards and no one accountable for what reaches production. A Physical AI Product Operating Partner provides that continuity — senior production, architecture and governance leadership, embedded part-time and accountable across programs.

Typical responsibilities

Shaped to your portfolio and cadence.

  • Portfolio prioritisation across AI initiatives
  • Production-gate reviews
  • Architecture decisions and independent review
  • Vendor and build-versus-buy evaluation
  • AI governance and operational-risk review
  • Roadmap management and cross-program consistency
  • Incident review
  • Capability building in your teams
  • Quarterly operating reviews
  • Executive and investment advice

How the engagement works

  1. 01
    Establish the barAgree the production standards, governance and decision rights across the portfolio.
  2. 02
    Embed part-timeOperate as a fractional senior leader — production-gate reviews, architecture decisions, vendor evaluation.
  3. 03
    Operating reviewsReview the portfolio, risk and roadmap with executives each quarter; adjust priorities.
  4. 04
    Build capabilityTransfer judgement and standards so your teams raise their own production bar over time.

What shapes the engagement

Defined together — scope depends on:

  • Number and maturity of AI initiatives
  • Cadence and time commitment required
  • Governance and regulatory context
  • Degree of decision authority
  • Whether delivery teams are in place or need building
  • Executive and board involvement

Pricing and terms

  • Scoped engagement — defined together after a fit call
  • A typical cadence is agreed up front (for example, a set number of days per month)
  • No published monthly rate — the engagement is shaped to your portfolio
  • Quarterly operating reviews as a standing checkpoint

Where this sits

A Product Decision Review decides on one initiative; a Product Leadership Program takes one system through to launch; the Operating Partner keeps standards high across several — the continuity layer above individual engagements.

FAQ

Is this the same as a fractional Chief AI Officer or fractional CPO?
The engagement is embedded fractional CPO / Head of Product leadership for Physical AI. Where organisations look for a fractional Chief AI Officer (CAIO), this is the product-leadership successor of that mandate — the emphasis is product, launch and portfolio accountability, not advice alone.
How much time does it involve?
A typical cadence is agreed up front — for example a set number of days per month — and adjusted at quarterly operating reviews. It is shaped to your portfolio, not a fixed package.
Do you replace our team?
No. The role is to raise and hold the production bar and build your team's capability — not to become a permanent dependency.

Running several AI initiatives?

Start with a 30-minute fit call. We will discuss whether an Operating Partner engagement fits how your portfolio is run.

Discuss an Operating Partner engagement

30-minute, no-obligation fit call.