AI transformation for
teams that already ship

We help technical and operating leaders build agent-first organisations — the same way we rebuilt our own cross border network before we said a word about it to anyone else.

See how we work
~/rsaxb/diagnostic
tool licencesbought, idle
new rolesundefined
codebase readinessuneven
operating rhythmpre-agent
leader fluencythin
team confidencesplit
Maturity0 → 1
culturewilling
technical readinesspatchy
operating systemunbuilt

Buying the tools is not the transformation.

$assess --scope=org
Ecosystem
+Claude Code
+Codex
+Cursor
+Anthropic
+OpenAI
+GitHub

The operators behind this

More about us

37 markets

A live cross border network we operate, not a case study we read.

Six products

Classification, address, rating, routing, tracking and support — in production.

+What we are learning building agent-first, written up as we go

Read the notes
The system

Your best people already moved. The rest of the company did not.

There is always a handful of builders getting real leverage out of these tools. The gap between them and everyone else is not talent — it is that nothing around them changed. We turn the isolated wins into something the company can repeat.

Workflows

Design how people and agents split the work end to end, instead of automating a task and calling it done.

System readiness

Give agents the context, docs, permissions, data and feedback loops they need to work safely.

Rituals

Retire pre-AI planning and review. Put a faster operating rhythm in their place and hold it.

Roles

Redraw roles once anyone can build, then get out of the way of the people already building.

Metrics

Measure where AI actually changes velocity, quality and the shape of the work — not licence counts.

Leadership

Teach executives to inspect the work, model the behaviour, and reward the people driving the change.

Where we go deepest

Start in engineering,
product and design.

We work with CTOs, CPOs and VPs of product and engineering on the foundations — repo readiness, verification, the handoff between people and agents — so their teams set the standard the rest of the company copies.

Explore AI engineering
~/engineering/readiness0 → 1
contextrepo, docs, decisions
feedbacktests, CI, evals
handoffhuman → agent → human
proofshipped, not demoed
$trace --bottleneck=review
How we work

What you can hire us to do.

We can build the roadmap, or get in the code and help you ship it. Engagements are scoped to an outcome you can point at, not to a number of days.

01 / Diagnose

Find the constraint.

We look at how people use AI today, what the codebase can support, and where the work actually gets stuck. Usually it is not the model.

02 / Plan

Build the roadmap.

Priorities for the platform team, for each function, and for the executives who have to lead the change — sequenced, with an owner on each line.

03 / Enable

Put the tools to work.

Hands-on sessions for executives and teams, in the tools they already pay for, on the workflows they already own.

04 / Ship

Ship with your team.

We work alongside your people on the first real workflows, so the change survives us leaving rather than reverting the week after.

Paths in

AI engineering

Engineering acceleration.

For CTOs and engineering leaders. We assess repo readiness, design the platform roadmap, and change how product actually gets built — not how it gets demoed.

~/assessment/repo-readiness.md
$run readiness_check --scope=repo
[✓]rulesAgent instructions live in the repo
[✓]setupOne command to a working environment
[✓]ciFast, trusted, and green means green
[✓]reviewVerification built for machine-written diffs

AI transformation

Company operating system.

For CEOs and executive teams. We find the teams already getting leverage, then build the company system around them instead of around a procurement decision.

Executive coaching

Executive fluency.

For CEOs, CTOs, CPOs and functional leaders. Hands-on coaching from operators who use the tools daily, so you can inspect the work rather than take a report on it.

AI training

Teach it once, then
watch it stick.

For executives and teams. Every session runs on your own workflows and your own repositories — there is no sandbox, because the sandbox is where adoption goes to die.

Executive workshop

A day with the leadership team, in the tools, on real decisions.

Team cohort

A working group per function, shipping something by the end.

Build days

We sit with your engineers and build alongside them.

Nobody needs another company with an AI strategy. They need the work to actually ship.

RSA Cross BorderHow we think about the work

We rebuilt our own cross border network agent-first before we offered the approach to anyone else. The scar tissue is ours.

Practitioners

Engagements are scoped to an outcome you can point at — a workflow shipped, a constraint removed — rather than a day rate and a deck.

Outcome-first

Agents hold the default path. People own the exceptions and the calls that need judgement. That is the operating model we install, because it is the one we run.

Operating model

Want the long version?Case studies

Let's go.

If you are stuck, tell us what is working and what is not. If we are not the right answer, we will say so on the call rather than in month three.

What do you need?

Prefer email? Reach the team from the about page.