Practice.
Seven engagements across the AI lifecycle
Seven ways we work with businesses ready to ship real AI work. From strategy through to embedded operations.
Seven ways we work with businesses ready to ship real AI work. From strategy through to embedded operations.
AI inside the way the business actually runs.
For executive teams looking at AI through an operations lens. Where it fits in the org, what it changes about how teams work, and what to invest in first. Strategy that survives contact with reality.
We map the opportunity space against your operational realities: your data, your team, your customers. Then we produce a prioritised roadmap that ties AI investment to outcomes you can measure. No 50-slide decks. A working plan, fit for the room you'll defend it in.
AI-native products, shipped. Not bolted on.
For businesses building software where AI is the core capability. Not a feature added late. We work end-to-end: from concept and architecture through evaluation framework and shipped MVP. The output is a working product, not a prototype.
Our team has built and shipped AI-first products at zero-to-one and at scale. We bring senior product, engineering, and AI judgement to the room, and leave you with a system your team owns and can extend without us.
Working AI agents. Scoped, built, handed over.
We design and build AI agents that take on real operational work. Research, drafting, analysis, internal ops, support edge cases. Not chatbots. Not demos. Production-grade agents engineered for a specific job, with the evaluation harness to prove they're doing it well.
Every agent is scoped to a job description, owned end-to-end, and shipped with documentation that lets your team take over. We don't build dependency.
Targeted automation that removes operational friction.
Smaller in scope than full agents. Focused on the specific bottleneck eating hours every week. We audit the workflow, design the automation, build it on the right stack (Zapier, Make, n8n, custom code, or a blend), and hand it over with monitoring in place.
Most of these engagements pay for themselves inside a quarter.
Adoption that actually sticks.
Most internal AI tools fail at adoption. Not at the technology. We help organisations roll out AI tooling internally by combining product, change, and training disciplines so the tools actually get used.
We design the rollout, identify and equip internal champions, build the training, and define the success metrics. What you've invested in becomes part of how the work gets done.
A senior thinking partner on retainer.
For executives making frequent AI-shaped decisions and lacking a senior in-house specialist. We sit alongside you as a thinking partner. Diligence on tools and vendors, sanity checks on your team's output, briefings on what just shipped and why it matters, and judgement calls when the path forward isn't obvious.
This is not consulting in the deck-producing sense. It's working access to a small set of people who've built and shipped this stuff.
Senior AI operations leadership. Embedded, fractionally.
For organisations that need senior AI operations capability now, but aren't ready (or shouldn't be) hiring full-time. We embed inside your team a few days a week, owning an active backlog of agents, automations, adoption work, and vendor decisions. Effectively part of your leadership.
This is the deepest engagement we offer. Continuity, not a project. You get senior judgement in the room, the work moving forward, and a steady hand on what AI is doing across the organisation week to week.
A 30-minute call. No pitch deck. Just questions.
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