Proof in numbers
0%
of AI projects fail before reaching production – preparation is the differentiator
0+
AI use cases identified and prioritised across enterprise clients
0
Use cases taken from discovery to delivery at bol. and Stedin alone
87% of AI projects fail. Most before they ever reach production. The difference is preparation. emagine helps enterprises identify where AI creates real value, builds a roadmap your organisation can execute, and prioritise use cases that deliver measurable impact.
What we deliver
Use Case Discovery is the faster entry point. AI Strategy & Roadmap goes broader: From governance design to phased execution plan. Many clients start with one and move into the other.
Too many AI initiatives start with the technology instead of the right use cases. emagine takes you from vague ambition to a prioritised portfolio, with working prototypes that prove the business case before you commit engineering budget.
How it works
From prepared to in motion
Every output in this phase is built to be used, not filed. Strategy work that hands directly to engineering, training, governance and rollout.
Becomes the engineering backlog
Prioritised, scored, technically specced – ready for the first sprint.
Discover & Classify
Every idea runs through our 3 tier model, which sets the route, team and investment level for each one: use and accelerate, configure and integrate, or develop and transform.
Prototype & Prove
For Tier 2–3 use cases we build a working prototype on your real data in days. Stakeholders use the actual solution, validating the business case before engineering budget is committed.
Decide & Scale
Each use case then moves through a four-gate pipeline, from experiment to validation, scale and ownership, with an AI Chapter steering priorities for the long run.
What you get
A strategy only earns its keep if your organisation can act on it. emagine builds roadmaps wired to execution, backed by a structured diagnostic and a governance model, so the plan actually moves.
How it works
Diagnose
Our 5 Challenges diagnostic gives an honest read on what to fix first: fragmentation, adoption, alignment, scaling and accountability. It pairs with an assessment of your Ignition layers, the foundations a production-grade AI practice is built on.
Design
We design the AI Chapter governance body, define the four AI roles (Tech, Business, Governance, Process & Culture), and turn scattered ideas into a governed use case funnel.
Activate
You get a phased plan with tollgates, investment framing and team requirements, wired into emagine's delivery offerings so strategy becomes execution without a restart.
What you get
Becomes the training plan
A programme scoped to your actual use cases, not a generic AI curriculum.
Becomes the operating model
Defined ownership and prioritisation that survives the launch team.
Becomes production-grade AI
The fastest route from prepared to deployed. Built right from sprint one.
