The most valuable company tomorrow is AI-native today.

We embed operators into your team, learn how your business really runs, and build the AI systems that move you closer to the AI-native company of tomorrow.

Jason BrownSebastian Anema
Work directly with
Embedded AI Operators

Capturing value from AI is harder than it looks.

Source: McKinsey, The State of AI in 2025

Of every 100 organisations

6 capture value7 fully scaled75 piloting12 not using

Most companies adopt AI without a clear picture of where it creates real leverage or how it connects to their operations. Individual projects add minimal value, the successful ones remain isolated and learnings aren’t propagated, and the organisation doesn’t reach the point where AI integration is compounding across the business.

Making a company “AI-native” means that AI is built into how it runs day to day — with the right foundation, the right capabilities built on it, the right people trained to use it, and the guardrails in place to keep it reliable as it does more on its own.

The thesis

AI reshapes how you operate and what you deliver.

How you operate

The internal system

Your organisation’s knowledge becomes a shared foundation. Agentic workflows automate operations on top of it. An intelligence layer synthesises information across the company, surfaces patterns, and routes actions to the people who can act.

What you deliver

AI-native products and capabilities

AI embedded in what your company offers customers: personalised experiences, intelligent interfaces, dynamic pricing, recommendation engines, conversational products, and custom ML models built for your domain.

This is what AI-native means for an existing business: AI woven into the full surface of the company, compounding across everything it touches.

Where to start

Start with an AI opportunity audit. Build from there.

Then we build what you need.

Based on the opportunity audit, we build a plan from these building blocks. Each one delivers standalone value. Together, they form the full system.

Knowledge graph

Your data, relationships, and institutional knowledge unified into one foundation that people and agents can query.

Intelligence layer

Cross-functional synthesis and pattern detection across every function. Leadership gets real-time visibility across the business for faster, better-informed decisions.

Agentic automations

Workflows redesigned around what AI makes possible: end-to-end automation, with human oversight where necessary.

AI-native products

New capabilities, segments, and revenue surfaces that AI unlocks, from intelligent interfaces to dynamic pricing and recommendation.

Observability

We measure what AI is really doing across the organisation, so token spend turns into proof of value.

Training and enablement

Your team fluent in AI-native work: hands-on training, coaching, and the org design to match as roles evolve.

Case study

Shipped work

Finance & operationsDelivered, in production use

A clear view of profit and cash.

The problem

A furniture manufacturer’s financial and operational data sat scattered across Xero and Hubdoc, with no project-level view of profit or cash.

Key result

Project-level P&L and live cash-flow analysis, plus agentic automation that surfaces the numbers 30 days sooner.

XeroHubdocProfitability reportingCash-flowWorkflow automation

Get in touch.

Tell us about your business and what you want us to help with. We’ll get back to you within a day or two.

What to include
  • A brief description of your business
  • The problem you are trying to solve, or what you think it is
  • What you have already tried, if anything
  • Timeline and any constraints