Intelligence is becoming abundant. Coherence is becoming scarce.

AI does not transform your organisation. It amplifies the one you already have.

We read whether your organisation – and the AI going into it – holds together for the people in it. Then we architect the conditions so it does.

Intelligence is becoming abundant. Coherence is becoming scarce.

AI does not transform your organisation. It amplifies the one you already have.

We read whether your organisation – and the AI going into it – holds together for the people in it. Then we architect the conditions so it does.

Book a Coherence Enquiry →

Intelligence is becoming abundant. Coherence is becoming scarce.

AI does not transform your organisation. It amplifies the one you already have.

We read whether your organisation – and the AI going into it – holds together for the people in it. Then we architect the conditions so it does.

The instrument · four dimensions

  • 01Agency
  • 02Reciprocity
  • 03Alignment
  • 04Signal Integrity
Book a Coherence Enquiry →

You might recognise this

The tools work. The transformation doesn’t.

“We’ve poured money into AI and I still can’t tell the board what we got for it.”

Chief executive

“It works in the demo. On the floor, people quietly went back to the old way.”

Chief operating officer

“Management says we’re on track. I have no independent way to know if that’s true.”

Board director

Different words for one problem: the business isn’t organised to use the AI it’s paying for. That problem has a name – and, for the first time, a measure.

~95% of enterprise GenAI pilots show no measurable P&L impact¹ · organisational factors carry 2x the AI impact of individual ones⁵

The name for it

Coherence, defined.

A system is coherent when it makes sense to the people inside it – on four dimensions:

01Agency

Can people choose and act?

02Reciprocity

Does value flow both ways?

03Alignment

Does behaviour match intent?

04Signal Integrity

Can people trust the signal?

What you already measure

  • Revenue
  • NPS
  • Latency
  • Throughput
  • Accuracy
  • Deployment volume

None of them measure this.

What decides whether it holds

The instrument is ours: authored, tested in deployment, and held – the proprietary core beneath an open method. You see the read, not the engine.

The Canonical Coherence Stack

Everyone is building Layers 1–4.

A fleet of well-governed agents inside an incoherent organisation compounds dysfunction at machine speed. Governance answers what an agent may do. Coherence OS answers whether the system around it holds.

L5
Organisational coherence – the layer we build
The layer that determines whether everything built below produces coherent outcomes for the people it serves. Divergent Kind lives here.
Our layer
L4
Agent Governance
Policy, permissions, guardrails.
Governed elsewhere
L3
Agent Infrastructure
Orchestration, memory, tool access.
Built elsewhere
L2
Agent Execution & Runtimes
Where agents run and act.
Built elsewhere
L1
Foundation Models
The raw capability layer.
Built elsewhere

Divergent Kind names it, builds it, and measures it.

How we work

Audit → Launch → Licence → Review.

01
Coherence Audit
Baseline

Applied once, end to end.

02
90-Day Launch
Architecture

Resolves the friction the Audit names.

03
Annual Licence & Stewardship
Deployed

Decision rails built into how the work runs.

04
Independent Review
Continuous

Coherence measured continuously.

We don't build vehicles before the principle holds. The engagement, in full →

Where to start

Four rungs.

01
Use the Lens

Free

The four-question Coherence Snapshot.

Run the Snapshot →
02
The Single-Artefact Read

Paid · partner-led

A decision flow, a spec, a policy.

Apply for a read →
03
The Coherence Audit

Scoped · 3–4 weeks

Baseline · Friction Map · Priority Moves · Readout · Decision Gate.

Book a Coherence Enquiry →
04
License the Method

In development

When it opens: the instrument deployed under licence, run by trained practitioners under a published code of practice. → your team runs the read, the standard stays honest. Until the evidence is complete, we don't sell it – that restraint is the point.

See what's coming →

Evidence

When the layer works.

First deploymentAwaiting client clearance
14 friction patterns, named and owned.

In our first deployment – a national B2B platform business – the read surfaced 14 distinct friction patterns and a stalled-decision register leadership could act on within weeks. [Specifics ship after counsel + client sign-off.]

Civic methodologyNaming pending clearance
The Lens, judging civic AI.

At a 2026 civic-AI build programme in Melbourne, the Civic Coherence Lens served as judging methodology across the builds – and a coherence award was run and judged on it. [Partner naming ships after clearance.]

The operating record
Virgin Australia's first internal product and experience team.

The practice is built from an operating-model playbook – the founder built Virgin Australia's first internal product and experience team from the ground up, and runs every engagement.

The divide
The few that succeed have this layer.

MIT NANDA describes a sharp GenAI divide: a small minority of integrated pilots extract material value, while most remain stuck with no measurable P&L impact.¹ The pattern points to integration, learning and workflow fit – the organisational layer around the AI. That layer is what we build and measure.

Led by Richard Lipp · Founder & Principal

Difference is not what you accommodate after the design. Difference is what the design starts from.

Richard's full story →

Door 01 · Organisations

Everyone measures the machine. We measure whether it lands.

One door: for the organisations doing the work.

High-growth scale-ups and PE-backed portfolios hitting structural complexity at scale.

Scale-upsPE portfoliosBoards

For organisations, in full →

The engagement

  • Fixed fee · 3–4 weeks
  • Friction map · coherence debt priced in range
  • An honest decision gate
Book a Coherence Enquiry →

Also built for AI's compliance duties →

The author layer

A discipline, not a service line.

Divergent Kind is the discipline's source. The thinking is open; the measurement is ours.

The thesis
Systems should adapt to people.
Read the thesis →
The canon
Published first, here.
Read the writing →
The stage
Coherence architecture, on stage.
Book Richard to speak →
The bookForthcoming
The category, in long form.
About the book →

Divergent Kind facilitates conditions for agency and coherence.

¹ MIT NANDA, The GenAI Divide: State of AI in Business 2025 – ~95% of enterprise generative-AI pilots show no measurable P&L impact.

⁵ Microsoft, Work Trend Index 2026 – organisational factors carry 2x the AI impact of individual ones: 67% vs 32%.