Clients

Where we put AI to work, and why it sticks.

We deploy AI into the operational work of real estate, workplace and investment firms, and we get it adopted. The reason it lands: two decades inside how these firms actually operate.

Current AI deployment work
What we are deploying now.

We apply AI-supported systems inside live operational work with a small number of clients. Our current engagements are with QBRE and a design-and-build sales team.

QBRE
Active engagement

AI-supported AI systems for real estate and project delivery.

Sales team, design & build
Active engagement

AI support for bids, proposals and pipeline tracking inside a design-and-build sales team.

What these systems do

The AI we deploy speeds up document-heavy review, surface the evidence behind a decision, and keep analysis running rather than one-off. We share specific outcomes under NDA.

Why it sticks
We already know how these firms work.

Before we deploy a single system, we understand how a firm actually operates: its decisions, its data, its bottlenecks. That comes from two decades advising these organisations on how their people work. It is the reason our AI gets adopted, not shelved.

Featured case study: a global law firm, digitised →
Why we work this way
What the work taught us.

Static strategy is no longer enough

A recommendation set against a five-year cycle dates before it lands.

Analysis has to be continuous

The questions recur, so the analysis has to keep running.

Information is trapped

Most of what a decision needs sits in documents, spreadsheets and disconnected systems.

Leadership needs clearer evidence

Decisions hold up when the evidence behind them is visible and sourced.

Teams need judgement support

The goal is better judgement, not just faster output.

Technology must fit the work

Tools only help when they sit inside how the work actually flows.

Showcase projects

Where we learned to deploy change.

These firms taught us how change actually happens: how fast organisations move, how to deploy it so it sticks, how to read the data behind a decision, and how to think in systems. It is the instinct behind every AI system we now build.

Our collective experience spans
Additional projects
Global technology company
London headquarters transformation
Technology
IndustryTechnologyPartnershipOver 2 years
Services provided
Workplace strategyDesign translationLeadership engagementGlobal guidelines alignment
Challenge
  • Understanding the evolving workplace needs of the London workforce.
  • Aligning the new office strategy with the global workplace programme.
  • Guiding the future space footprint and detailed allocation.
Impact
  • Comprehensive data gathering and user feedback analysis.
  • A future workplace strategy aligned with global standards.
  • Local leadership and partners engaged for successful implementation.
How it informs what we buildWe apply that data-led, leadership-aligned method to AI-supported workplace analysis and operational review.
Global hybrid workplace programme
Major savings on global capex
Pharma and biotech
IndustryPharma and biotechPartnershipOver 5 years
Services provided
Workplace strategyChange managementDesign translationGlobal guidelinesHybrid playbook
Challenge
  • Aligning a global real estate portfolio through rapid growth.
  • A standardised approach to workplace strategy across many locations.
Impact
  • A cross-functional hybrid toolkit.
  • Pilots that informed the global guidelines.
  • Increased capacity at existing sites, with significant long-term savings.
How it informs what we buildWe build reusable, governed methods that scale across a portfolio, not one-off recommendations.
Philip Morris International
The Thrive@Work programme
FMCG
IndustryFMCGPartnershipOver 3 years
Services provided
Workplace strategyDesign translationGlobal transitionChange management
Challenge
  • Adapting the workplace to PMI's evolving mission.
  • Overhauling the Campus building around Thrive@Work.
Impact
  • A complex transformation aligned to the company's vision.
  • A successful pilot, assessed in partnership with MIT.
  • Findings presented at CoreNet in Amsterdam.
How it informs what we buildWe deploy small, measure properly, then scale, the same discipline we built here.
JustEat Takeaway
Reimagining contact centres
Technology
IndustryTechnologyPartnershipOver 2 years
Services provided
Workplace strategyGlobal guidelinesDesign translation
Challenge
  • Post-merger workplace challenges across JustEat and Takeaway.com.
  • Moving from outsourced call centres to in-house facilities.
Impact
  • A space-calculator strategy to size requirements.
  • A new spatial model built around shared, collaborative environments.
  • Contact centres prepared for growth on a data-driven basis.
How it informs what we buildWe turn that into structured, data-led analysis teams can rerun, not a static study.
Start here

Talk to us about your operational bottlenecks.

We can review where your teams are losing time, where information is fragmented, and where applied technology can support better operational work.

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