How do you run your organization?
We help you move beyond fragmented AI initiatives and pilots that don’t scale to redesign how your organization runs – aligning structure, governance, and decisions to scale what actually works.
Organizations are built around the assumption that intelligence is scarce and scaling requires headcount. AI breaks both assumptions.
AI initiatives multiply without coordinating, pilots succeed in isolation and never scale, and investment decisions get made without visibility into what’s actually working. Leadership teams know something needs to change.
Organizations are built around the assumption that intelligence is scarce and scaling requires headcount. AI breaks both assumptions simultaneously. That creates real questions about how decisions should be made, how teams should be structured, how work should be governed, and where the organization needs to genuinely transform versus where it just needs better tools.
The default response has been to add AI features to existing products or launch isolated pilots.
The underlying work was never redesigned to take advantage of what AI makes possible. Improving an existing workflow is the wrong starting point. The right question is whether that workflow should exist at all
How we solve it
Where is transformation actually blocked?
We establish where AI investment is fragmented, where alignment is missing, and what’s genuinely blocking progress — cutting through internal debate to find the real constraints.
Which bets are worth making?
We help leadership align on where to focus to connectAI investment decisions directly to where the business needs to go, not just where it currently sits.
What structure and governance does this require?
We design the organizational structures, decision rights, and AI governance that let transformation move — without creating new bureaucracy in place of the old kind.
What does it take to sustain this?
We help build the capabilities, systems, and operating rhythms that make sustained transformation possible — including the technical infrastructure needed to run an AI-enabled organization.
Outcomes
↳Clarity on where AI investment is misaligned — and a sharper, prioritized view of what actually needs to change
↳Leadership alignment on the transformation agenda, including the decisions that have been avoided
↳An operating structure designed for AI-enabled work — not a modified version of the one you have now
↳The governance, metrics, and infrastructure to move from scattered initiative to sustained organizational capability
Operating model questions rarely exist independently
They usually surface because something is broken in how the organization creates value or executes work — and the structural answer only holds if those underlying questions are addressed alongside it.
Case studies
Discover some of our work
For over 16 years, we have partnered with the world’s leading businesses to transform and drive growth
AI transformation strategy for an investment company as well all of its portfolio companies, spanning manufacturing to lab automation software.
Designing and launching an AI operating model for the $8.8bn owner of Tommy Hilfiger and Calvin Klein.
Enterprise-wide AI transformation strategy for a 200-year-old insurer.
Let's redesign your operating model
Everyone sells AI efficiencies. We build for growth. Let’s talk.
