An AI strategy isn’t a vision statement — it’s a prioritised, feasible plan tied to business outcomes. Here’s how to build one for your UK company in 2026. (dgm implements osFoundry as an independent partner.)
Start from business goals, not “AI”
The most common strategy mistake is starting with “we need an AI strategy” rather than “we need to cut cost / grow / improve quality / reduce risk — where can AI help?” Link AI to real goals, and the strategy writes itself around them.
Prioritise use cases
List candidate use cases and score each on:
- Value — how much it moves a real metric (cost, time, revenue, quality); and
- Feasibility — data readiness, integration complexity, risk.
Start with high-value, low-complexity wins to build momentum and prove value, then take on harder, higher-value cases once you’ve learned. (See how to pick your first AI use case.)
Build in governance and skills
Don’t leave these to the end:
- Governance — UK GDPR, human oversight, an AI use policy. For UK firms, compliance is part of the strategy. (See AI governance for UK SMEs.)
- Skills — who will run and improve this? Plan capability-building (and note funding for AI skills exists).
Choose a flexible foundation
AI moves fast — models change, prices change, needs change. A strategy built on a single locked-in proprietary tool ages badly. Favour a flexible, multi-model, non-locked-in platform so the strategy can evolve without re-platforming. (See how to avoid vendor lock-in.)
Top-down and bottom-up
Leadership sets the goals and governance; teams surface the practical use cases where AI genuinely helps. A strategy that ignores frontline reality fails on adoption; one with no leadership direction lacks focus. You need both.
Turn it into a roadmap
A strategy becomes real as a roadmap: the prioritised use cases, a first pilot, governance, and a scaling plan.
Where osFoundry and dgm fit
dgm helps turn goals into a prioritised, feasible roadmap and implements it on osFoundry — bring-your-own-key and multi-model (so the strategy isn’t hostage to one vendor), usage-priced (so pilots are cheap), and self-hostable in your own cloud or an EU region for UK data control (it publishes US/EU/JP regions, not a UK one). That flexibility is what lets a strategy evolve.
dgm is an independent integration partner with zero integrations so far. To turn your goals into an AI roadmap, book a consultation with dgm. General information, not specific advice.