The shift to agentic AI is the most significant change in software delivery since cloud computing. Most organisations know they need to act, but struggle with where to start and how to move beyond pilots.
We work at C-level to turn AI strategy into delivery. That means designing agent orchestration systems, restructuring teams to work alongside AI, and building the workflows that make it stick. Product management agents that generate PRDs. QA agents that test continuously. Intelligence embedded not just in systems, but in how work gets done.
The two-pizza team had a good run. But when two senior engineers with the right AI tooling can outpace a team of eight, the old model stops making sense.
We help organisations form new AI-native teams or get existing ones working with copilots and agents effectively. That includes team design, transition planning, and the leadership coaching needed when "managing people" becomes "orchestrating systems". From traditional product squads to two-coffee teams, we help you ship better, faster, leaner.
Need clarity on where to focus, what to build, or how to scale?
We work with product and tech leaders to define future-ready strategies that balance innovation with execution. In today's landscape, this means understanding how agentic AI, team structure evolution, and emerging technologies reshape competitive dynamics.
Our strategic work includes:
From C-suite workshops to architectural blueprints, we help you confidently make the right bets, especially when those bets involve fundamentally rethinking how teams deliver.
When you need senior technical presence for complex programmes, we provide the alignment and direction to move forward.
Whether you're navigating funding rounds, product pivots, scale-up pressure, or complex technical decisions, we step in to lead, stabilise, or accelerate your efforts. For programmes with distributed teams, we bring coherence and focus.
We bring:
Think of it as CTO-as-a-service, or technical leadership for specific programmes: flexible, expert, and focused on outcomes.
Agile sprints are necessary but not sufficient. Modern delivery means orchestrating humans and agents together, with specifications tight enough that code becomes regenerable.
We take POCs to production with lean teams. AI product rollouts, digital transformations, SDLC overhauls: the common thread is getting complex work moving and keeping it on track. Our technical foundation is cloud-native (serverless, platform engineering, observability) but the real value is in the operating rhythm and delivery practices that eliminate coordination overhead.
New tools without new ways of working just create expensive shelfware. The shift to AI-native engineering needs operating models designed around what's now possible.
We've built lab-style operating models across multiple organisations: team topologies that assume AI amplification, platform architectures that make agents useful, org designs that follow capability rather than the other way around. If you're building AI-native engineering capability for the first time, or rethinking how existing teams should work, this is where we start.
Three models, depending on what you need:
Embedded: 3-4 days a week, fully in the work. Team formation, operating model design, hands-on technical leadership. Usually 3-6 months with checkpoints.
Advisory: A retainer for scheduled strategic input rather than reactive availability. Monthly calls, quarterly deep-dives, email support. For organisations who want a thinking partner on AI and engineering transformation.
Project: Scoped work with clear deliverables. Transformation diagnostics, operating model definition, capability assessments.
We thrive on complex problems and unconventional ideas.
If you're working on something unique, or you're unsure exactly where to begin, get in touch. We’re always happy to explore new opportunities and challenges.
From rapid product innovation to deep platform transformation, we bring the insight and firepower to help you move boldly.
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