Services Overview

We help organisations build the strategic clarity, operating rhythm, and capability needed to deliver digital products and services that work — for customers, staff, and the business. From aligning the executive team to embedding delivery teams, we work end-to-end, flexibly and hands-on.

Strategic Clarity

Surface the real strategic problems, align the executive team, and clarify what the product organisation should be solving for.

Executive Engagement & Sensemaking — Clarify goals, uncover misalignments, and make hard choices explicit
Capability & Model Review — Assess current state structures, team design, and alignment to strategy
Operating Model Definition — Design fit-for-purpose roles, responsibilities, and decision frameworks
Product Operating Model Design — Define how product, technology, and business teams work together, including governance, funding, and accountability structures
Org-wide Alignment — Connect vision, strategy, and execution across business and technology

Market & Customer Intelligence

Deeply understand users, customers, internal value flows, and the broader ecosystem. Ensure product and AI decisions are grounded, not guessed.

Customer & User Research — Structured, participatory insight generation
Journey & Service Mapping — Make invisible work and pain points visible
Organisational Value Stream Mapping — Understand how value flows today to design what should change
Ecosystem Mapping — Visualise interdependencies, platforms, and partnerships

Portfolio Management

Govern the product and change portfolio to solve the most valuable problems. Invest in the right bets. Scale what works.

Opportunity Management — Define and evaluate initiatives through structured lenses
Prioritisation & Roadmapping — Align timing, capacity, and ambition
Service Design & Portfolio Strategy — Connect frontstage experience with backstage enablement
Lifecycle & Investment Management — Know when to start, stop, sustain, or scale

Product Vision & Strategy

Craft a product direction that aligns user need, business value, and technical feasibility. Anchor in a clear vision and operating principles.

Vision & Strategic Narrative — Tell a story people can act on
Discovery & Business Model Design — Validate early, explore options
Decision Principles & Success Metrics — Set foundations for accountable action
Adoption & Change Planning — Bring people along the journey

Create Products & Services

Bridge strategy and execution through detailed design and validation. Reduce risk, increase confidence, and make delivery smoother.

Value Proposition & Experience Design — Define what users need and why it matters
Prototyping & Validation — Test assumptions early
Delivery Blueprint — Clarify what’s needed to scale — roles, tech, governance, metrics

Product Delivery

Ensure delivery aligns to strategy through high-quality execution. Build just enough to learn fast, and scale what works.

MVP Design & Build — Deliver value early, create feedback loops
Team & Role Design — Create multidisciplinary teams aligned to the work
Exemplar Team Coaching — Embed new ways of working through supported doing
Internal Comms & Engagement — Make the invisible visible and bring the org with you

Operational Enablement

Design and improve internal workflows, governance, and processes to support scalable, efficient delivery — and prepare for AI adoption.

Business Process Mapping & Improvement — Analyse current workflows, pain points, and handoffs to identify improvement and automation opportunities
AI Readiness Assessment — Identify where machine augmentation can support staff and processes
Governance Frameworks — Define how decisions get made across teams, platforms, and technologies
Role & Accountability Design — Align responsibilities to value delivery and new operating conditions
Product Operating Model Implementation — Embed structures, rituals, metrics, and governance that connect product strategy to day-to-day delivery

Product Capability Development

Build internal product, design, and delivery capability. Equip people with the tools, language, and judgment to operate in complex, tech-enabled environments.

Leadership & Practitioner Coaching — Grow confident decision-makers
Shared Language & Methodologies — Build alignment across disciplines
Designing for AI-Readiness — Equip teams to work with data, models, and outcomes
Governance & Risk in AI Contexts — Help teams and leaders make good calls under uncertainty

CPO as a Service

Access seasoned product leadership without the overhead. Shape org-wide product strategy, coach teams, and influence executive decisions — flexibly embedded as needed.

Org Design & Governance — Support in scaling product structures, decision-making, and accountability
Product Strategy & Leadership — Provide direction, clarity, and high-trust engagement
Executive Alignment & Comms — Navigate ambiguity and bring stakeholders with you

Why it matters
Interim or fractional leadership can unblock momentum, especially during transitions, restructures, or new AI-focused investments.

Why it matters
Misalignment across leadership, product, and delivery teams is the single biggest barrier to progress. Clarifying strategy — and codifying it in a Product Operating Model — enables decisive governance, focused investment, and productive teams.

Why it matters
Without clear, shared insight into real-world behaviours and system dynamics, organisations guess. Grounding decisions in evidence helps ensure AI, product, and operational investments land well.

Why it matters
Teams often stay busy but misaligned. Portfolio thinking helps prioritise work with the highest potential impact — including AI initiatives — and manage interdependencies across business units.

Why it matters
A shared vision creates focus. Clear principles guide trade-offs. In the context of AI, this also means designing guardrails for responsible use and adoption.

Why it matters
Most delivery challenges stem from unclear foundations. Early design and validation work de-risks delivery — especially when integrating AI into existing products or services.

Why it matters
Delivery isn’t just about building — it’s about learning and scaling. Designing for agility and accountability is critical, especially with emerging technologies like AI.

Why it matters
Poorly defined processes and unclear responsibilities create risk, rework, and resistance to change. This work clears the path for AI and other scalable solutions to take root — and ensures the Product Operating Model isn’t just designed, but lived.

Why it matters
You can’t outsource judgment. Capability work helps your teams understand when and how to use tools like AI — and when not to. It also supports responsible, well-governed innovation.