Product definition and scope
Establish what the product is, who it serves, what it must do at launch, and what deliberately waits. Scope is written down as decisions, not wishes.
Services
AI & Digital Product Strategy
Deciding what to build, in what order, and where AI genuinely earns its place — before development cost is committed.
The problem
Most product risk is created before the first line of code.
The expensive failures are rarely technical. They come from a scope that was never defined, a feature list assembled from competitor screenshots, or an AI feature added because it was expected rather than because it removed real work from a real workflow.
By the time that surfaces, the architecture has already hardened around it. Rework is not a sprint — it is a rebuild.
Who it is for
- Founders scoping a first platform
- Businesses replacing manual internal processes
- Associations and niche industries with a defensible market
- Teams with a stalled or over-scoped build
What JMG Group does
The actual work involved.
AI-assisted workflow design
Identify where AI produces operational or user value — classification, drafting, extraction, matching, summarisation — and where it adds cost and unpredictability for no benefit.
Technical and commercial feasibility
Test the idea against build effort, data availability, integration surface, running cost and the revenue model that has to sustain it.
Product architecture and roadmap
Define the data model, the roles, the surfaces and the sequence, so phase two extends phase one instead of replacing it.
Core capabilities
What is included.
- Product definition and scope
- MVP boundary setting
- AI feasibility assessment
- Workflow and process mapping
- Data model design
- Roles and permissions modelling
- Prioritisation frameworks
- Phased roadmap planning
- Build-vs-integrate decisions
- Commercial model validation
How it fits the wider system
Never delivered in isolation.
Strategy is only useful if it survives contact with the build. Every decision made here carries directly into the architecture, the platform and the growth plan.
- Architecture
- Scope decisions become the data model, roles and platform structure.
- Development
- A defined MVP boundary is what makes an AI-assisted build fast rather than chaotic.
- Search
- Content and category structure is planned as product structure, not retrofitted.
- Automation
- Manual steps identified during discovery become the first automation candidates.
- Measurement
- Success criteria are defined before launch so the analytics have something to prove.
Typical engagement
How the work runs.
- 01
Discover
Understand the business, the users, the current process and the actual constraints.
- 02
Define
Write the scope, the roles, the data model and the launch boundary.
- 03
Assess
Pressure-test feasibility, AI fit, integration surface and running cost.
- 04
Sequence
Produce a phased roadmap where each phase ships something usable.
Related work
Where this thinking shows up.
- ProjectViseoPROA JMG Group project exploring AI-assisted workflows for digital content and product delivery.
- ProjectLocal FoodiesMarketplace product strategy, information architecture and phased scope across a multi-sided platform.
- InsightFrom fragmented stack to integrated platformWhy tool-by-tool decisions accumulate into a system nobody designed.
Related services
Capabilities that usually travel with this one.
Application & PWA Development
Installable, fast, accessible applications built as business systems — with authentication, data, dashboards and structure that hold up after launch.
View serviceAutomation & Business Systems
Removing repetitive manual work by connecting the systems a business already runs on — reliably, with visibility and a human in the loop where it counts.
View serviceTell us what you want to build.
Bring the objective and the constraints. We will define the scope, the architecture and a realistic sequence before anything is committed to code.