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Sample roadmap

This roadmap is a sample used in assessments. Tailored to your sprint length, workstreams, and pilot scope — so it fits your context and goals.

Roadmap

Three weeks of discovery and pilot design, then implementation. Some activities run across multiple weeks; those are shown as a single block spanning the relevant columns.

Week 1Discovery
Week 2Discovery
Week 3Pilot design
Week 4+ Implement ongoing
Operating model & delivery flow
Stakeholder interviews · start mapping how work actually flows
Synthesis · bottleneck analysis · prioritised leverage points · pilot team selected
Operating model for pilot defined — handoffs, who does what, agent touchpoints
Model in play · refine as the pilot runs
Pilot design & agent architecture
Pilot workflow design · agent integration plan · quality gates defined
Agents go live · iterate on output · expand scope as you learn
Measurement & baselines
Readiness check · baseline data collection (runs through week 2)
Baseline metrics agreed — cycle time, flow, AI adoption
Track flow and velocity vs baseline · weekly report
Team enablement
Coaching prep · team intro
Playbook drafted · coaching plan · team coaching · 1-to-1 slots (from week 3, ongoing)
Organisation enablement
Leadership briefing · AI governance policy drafted
Fortnightly AI upskilling · community of practice · champions forum (from week 3, ongoing)

Operating model & delivery flow

Maps how work moves across product, design, and engineering — where handoffs and context loss happen. The foundation everything else is built on.

Pilot design & agent architecture

Which team, which workflow, which agents. Defines who does what, what agents handle, and how the pieces connect — ready to implement in week 4.

Measurement & baselines

Baseline data collected during the assessment so the difference is measurable from day one. Cycle time, flow velocity, and AI adoption tracked throughout the pilot.

Team enablement

Playbook and ongoing coaching for the pilot team. Working directly with the team so the new operating model actually sticks.

Organisation enablement

Leadership briefed, AI governance policy drafted, community of practice built — so the pilot doesn’t stay isolated and the rest of the organisation can follow.

Ready to discuss your own roadmap?

Phases, sprints and workstreams are tailored to your context.

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