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Services

Strategy, architecture, leadership, delivery, development and the AI-first operating model.

Each service stands on its own. Most engagements start with one and grow into the next as the work reveals what is needed.

01

Technology strategy

A technology plan the board can read and the engineers can build.

Investment splits

Growth, core, AI, and platform and data, with the case for each and the trade-offs made explicit.

Capability map

What the business needs to be able to do, what it can do today, and the gap that technology closes.

Sequenced roadmap

A quarter-by-quarter plan with the dependencies drawn, not a list of projects.

02

Architecture

Systems designed for the next three years, not the next sprint.

Decision records

Architecture decision records with context, options and consequences, kept where engineers work.

Integration depth

APIs, GraphQL, event streams and Model Context Protocol surfaces so partners and agents can plug in.

Security by design

Boundaries, data handling and the control set drawn in from the start, not bolted on for the audit.

03

Technology leadership

Senior technology leaders, for as long as you need them.

Interim and fractional

Full time for a transition, or a set number of days a week that flexes with the stage.

Operating model

Squads, cadence, decision rights and reporting that the team keeps after we leave.

Hiring

Role design, structured interview loops and the first ninety days for the senior hires that matter.

04

Product leadership

Senior product direction that decides what to build and why, before anyone builds it.

Outcome and roadmap

A roadmap written as the outcomes it buys, sequenced by value and risk, not a backlog of everything anyone asked for.

Prioritisation that holds

Hard calls made with the leadership team and owned, so the team builds the few things that matter and stops the rest.

Direction, not just delivery

Senior product judgement in the room, with execution handed to product development so nothing is lost between the two.

05

Product development

AI-native squads that build across agents, apps and integrations.

AI-native by default

Agents handle the volume, senior engineers handle the judgement, and the work is designed for both from the first commit.

Agents, apps and MCP

MCP servers, agentic workflows, web and mobile apps, and the integrations that let your systems and models talk to each other.

Yours to keep

Your repositories, your standards, your pipeline. Documentation written for the next team.

06

AI-first operating model

Turn AI tools into a way of working the whole function keeps.

Pilot squad

A volunteer squad, real stakes, delivery measured before and after.

Guardrails and cost

Review rules, security boundaries, token budgets and the controls a CISO will sign.

Roll-out

The model that lands with a normal mix of people, with executive air cover planned in.

Tell us where technology is holding the business back.

A 30 minute call with a principal, not a salesperson. We listen, then tell you plainly what we would do first and what it would cost.