Our methodology
Every step delivers value. Every step unlocks what's next.
AI transformation works when technology and people advance together. Our approach delivers results quickly while building capability that compounds over time.
The principle
The dual-track principle
Most transformation programs treat change management as something you do after the technology is built. That's backwards.
Technology without adoption
creates shelfware. Tools get deployed, licences get purchased, and six months later nobody's using them.
Adoption without technology
creates frustration. Teams get trained on tools that aren't properly configured, connected, or governed. Enthusiasm dies quickly.
We run both tracks in parallel from day one. Technology enablement and change adoption advance together, each reinforcing the other. That's how you build something that sticks.
The framework
Spark → Ignite → Forge
Our delivery follows three stages. Each delivers value on its own terms and deliberately sets up the next.
Stage 01
Spark
Create clarity and confidence
We start by building shared understanding: what AI can do for your organisation, where the boundaries are, and where the real opportunities live.
What it produces
- Shared mental model
- Clear boundaries and guardrails
- Prioritised opportunities your leadership can act on
Builds toward: Teams know why, what's safe, and where to start
Stage 02
Ignite
Experiment on real work. Make it repeatable.
We take the prioritised opportunities and put them to work. Real workflows, real data, real results. Alongside the technology, we build the skills, libraries, and standards that mean success isn't dependent on any one person.
What it produces
- Proven use cases
- Prompt systems and workflow standards
- Measurable early wins
Builds toward: Organisation can repeat what works
Stage 03
Forge
Embed capability. Build what lasts.
We move from "it works" to "we own it." Governance, playbooks, internal enablement, and a clear roadmap for what comes next. The organisation takes ownership of its AI capability and can keep building.
What it produces
- Playbooks and governance
- Internal ownership and enablement
- Roadmap to what's next
Builds toward: Organisation owns its AI capability
Each stage delivers value on its own terms and deliberately sets up the next.
Working with us
What you can expect
We work alongside your team, not in a back room.
Weekly check-ins, fortnightly showcases, and drop-in help desk sessions keep momentum and build confidence through the process.
Decision-ready outputs, not strategy documents.
Everything we produce is designed to be acted on: scored use case registers, working prototypes, prompt libraries, business cases built on real data.
The goal is always independence.
We measure success by whether the organisation can keep building after we leave. If you still need us for the same things six months later, we haven't done our job.
See the approach in action
Or if you're ready, let's talk about where to start.