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Artificial Intelligence

We help you work out where AI actually creates value in your organisation, build the strategy and the systems to get there, and train your people to use what we build. One team, accountable from strategy through to delivery and adoption.

Talk to us about your AI

How an engagement runs

The rough shape of the work

Every engagement is scoped to what you actually need, but this is roughly how it moves: from working out what matters, through to something running in production that your team can use.

Phase 1

Assess & Align

Readiness assessment, stakeholder alignment, opportunity mapping.

Phase 2

Design & Pilot

Solution design, an early pilot, and a governance framework drafted alongside it.

Phase 3

Build & Integrate

Full build, tooling integration, and workflow automation into how your team works.

Phase 4

Operate & Scale

Ongoing operations hand over to Business & Tech Strategy; upskilling continues as adoption grows.

See how we run it

Common scenarios

Where we typically help

You want to adopt AI but don't know where to start

We assess your current state, identify the highest-value opportunities, and give you a clear strategy: not a generic roadmap, but one built around your business.

You've bought AI tools that aren't being used effectively

Licensing Copilot or ChatGPT isn't an AI strategy. We help you integrate the tools into real workflows so they deliver actual value.

You need a bespoke AI solution built

Whether it's an internal tool, a customer-facing feature, or a process automation. We design and build solutions that work in production, not just in demos.

Your team has AI tools but isn't using them effectively

Licences without enablement deliver nothing. We design training around the tools your team actually has and the work they actually do, so adoption is real, not performative.

You need to prepare your workforce for an AI rollout

Rolling out new AI capability without preparing your people first is a fast track to resistance and low uptake. We get your teams ready before the tools land.

Case study

Proof, not promises

SaaS / Product Management

Weeks to days on strategy-to-backlog work, governed end to end.

A SaaS company's product managers were buried in manual work: chasing stakeholders for visibility, updating roadmaps by hand, and translating strategy into Jira tickets one at a time. We gave them automated stakeholder visibility, MCP-server-driven Jira automation that triggers initiatives aligned to company strategy, and turns them into fully fleshed user stories with acceptance criteria, a definition of done, a definition of ready, and functional and non-functional requirements drawn from the PRD, backed by the AI usage policies, security guardrails, governance and mindset coaching to make it safe to rely on.

Read full case study

Ready to work out where AI actually helps?

Start with a free discovery call. We'll tell you what we think your biggest AI opportunity is, and what it would take to get it right, in production and in your team's day-to-day work.

Book a Discovery Call