AI transformation · Auckland, New Zealand

We redesign how work gets done.

For retail, commerce, and financial-services teams stuck between AI ambition and execution. We build the systems, the platform, and the capability — so the work itself changes shape, not just the tools.

Four to seven weeks from first conversation to a workflow running on live work.

Trusted by ambitious teams in NZ retail, commerce & financial services
Mitre 10APS IndustrialAlpine EnergyHealthPostRealNZGreen CrossPetbarnCSLHouseMeOpes MortgagesTarget FurnitureVarietyAxenicRNZCGP
The problem

If AI doesn't change your unit economics, it's a hobby.

Most AI initiatives die in pilot. The demo impresses, the dashboards multiply — and six months later the P&L hasn't moved. The technology was never the problem. The work itself was never redesigned around it.

Bolting a model onto a broken process gives you a faster broken process. We start where the cost actually lives — the workflow — and rebuild it so the economics change: cost to serve, time to revenue, output per head.

From AI-aware to AI-operational

AI-aware talks about it. AI-operational runs on it.

AI-aware organisations have the licences, the pilot, the slide in the strategy deck — and work that looks the same as it did three years ago. AI-operational organisations have redesigned at least one workflow around AI: a baseline, a result, and a team that can do it again. We get you there, one workflow at a time.

S1

AI-assisted

AI helps the person. Individuals are faster — the business looks the same.

S2

AI-enabled

AI helps the process. Workflows are faster and more consistent — humans still drive.

S3

Agentic

AI runs parts of the process. Throughput jumps — people supervise, AI executes.

S4

AI-native

AI improves the operating model. How you sell, price, deliver, and learn has changed shape.

Most organisations think they're AI-enabled. Most are AI-assisted with experiments. Read the maturity framework →

How we work

See clearly. Ship fast. Scale what works.

We don't start with a twelve-month roadmap. We start with the workflow that hurts most, prove the result in six weeks, and use it as the wedge for the next one.

01

Align

Not a long list — the two or three workflows that will move the number. We sit with the team doing the work, baseline the current state, and lock scope before any build starts.

02

Build

A small, senior squad shipping production AI systems inside your environment — your team in the room, iterating on live work. Production from day one.

03

Enable

Capability transfer is the engagement, not a workshop at the end. We measure against the baseline, document what changed, and leave a team able to keep going without us.

Engagements

Two ways to redesign the work.

Four to six weeks

AI Execution Accelerator

One workflow, redesigned and shipped as a working AI system. Fast.

On-site with your team: map the workflow, build in your environment on live work, measure against the baseline, hand over. You finish with a workflow that runs differently — and a number that proves it.

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Three to six months

AI Platform & Capability Build

For organisations with multiple workflows to redesign — and a team that needs to keep going without us.

Project-first: we stand up your AI platform, redesign the first two or three workflows against it, and run enablement from day one. When the platform is proven, it converts to a retainer. Never the other way around.

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Case studies

Proof, not promises.

All case studies

Figures are illustrative placeholders for design review.

Field notes

Thinking out loud.

All writing
Next steps

A conversation, not a sales call.

Thirty minutes. We'll ask where you are, what you've tried, and where the highest-value opportunity sits. If we're the right fit, we'll tell you how we'd start. If we're not, we'll tell you that too.