Six services. One path from experiments to standard practice.
Most teams don’t need another tool. They need a foundation: a clear read on where they stand, leaders who can judge where AI belongs, standards the whole team shares, a team shape that fits what AI now lets people do, and AI built into the way they already work. We work through it with you in six stages, and you can start where you are.
Assess
Know exactly where you stand before you invest.
We assess your code, your team, and your delivery process, then hand you a prioritized action plan for your AI foundation. Evidence first, decisions second.
Book an assessmentIt’s hard to fund the next step when you can’t see the current one. Leadership wants a plan; the team wants it to be realistic. An honest baseline gives you both.
A current-state report and a fundable, prioritized action plan — the AI context artifacts to build, training to level up the team, improvements to CI, review and testing, standardization decisions, and the metrics to track.
Align Leadership
People are not the obstacle to AI adoption. They are how you get a return on it.
The Leadership AI Capability Program: a series of workshops for a small cohort of peer leaders, combining short conceptual sessions with hands-on exercises applied to real, recurring work from their own roles. Every programme is built for the organisation running it.
Talk about a cohortPressure to accelerate AI adoption is increasing anxiety, while unclear guidance makes it hard to translate individual AI usage into consistent ways of working. Leaders are asked to review tools and proposals, set expectations for their teams and decide where AI belongs, without a working basis for that judgment.
A Leadership AI Decision Playbook — an AI toolbox mapped to your own use cases, a checklist for evaluating them, a calibrated review method, and a leadership alignment summary capturing the criteria your organisation will use to judge future AI and agentic proposals.
Build AI Foundation
The standards, artifacts, and training that make AI stick.
We embed with your team to turn scattered experiments into a shared way of working, built with the people who’ll use it every day.
Build your foundation with usExperiments don’t compound. Without shared standards and the right context in place, every person starts from scratch and good practice never spreads.
A team producing work with AI, faster and with better quality — a reusable library of standards and artifacts, experimentation that builds on a shared base, and metrics leadership can watch.
Design the Organization
The shape of the team has to change with what the team can now do.
Once the foundation is in place, the next question is structural: how should the organization work when its people can do far more on their own? We work with your leaders to redesign team boundaries, ownership, roles, and decision rights around what people can actually do now.
AI is changing the economics of how teams work, but organizational structures have not caught up. If the work that took a team a week now takes a few people a day, what should teams own, how should responsibilities be divided, and how do you structure decision-making without creating new bottlenecks?
An org design for the way your team works now — team shapes and sizes, ownership boundaries, decision rights, role definitions, and a sequenced transition plan, with the reasoning behind each choice captured for future decisions.
Optimize the Workflow
AI across the whole loop, not just the editor.
Once the foundation holds, we weave AI through the way work actually gets done — in software delivery and in the business processes around it — so throughput improves with quality that holds up.
AI in the editor helps one person at a time. The bigger gains are across the whole loop: requirements, review, testing, reporting, and closing the loop from running work back to the start of the next cycle.
Faster design-to-delivery, higher review and test coverage with less toil, and a working feedback loop from running work back to the start of the next cycle.
Orchestrate
Orchestrated agents running your delivery line, with your people in command.
Once the workflow is optimized and trusted, we hand well-scoped work to orchestrated multi-agent workflows. Your people direct and supervise; the agents take the toil.
See what agents can ownThis is where most AI initiatives try to start, and it’s why they fail. A build without a foundation collapses. Orchestrated agents only pay off once the earlier stages are solid: reach this stage in order and it compounds; skip ahead and it comes down.
Agents handle the toil, not the judgment. People stay in the driving seat: directing the work, approving what ships, and deciding where agents belong and where they don’t.
Not sure which stage you’re at?
That’s what the assessment is for. We’ll map your current state and show you the fastest sensible next step.
Book an assessment