Services / OS Architecture / AI Strategy
OS Architecture
AI Strategy
from €18,000
The groundwork for AI across the organisation. A funded strategy, not a hype deck.
- Deliverable
- The foundations for AI in your organisation: business-aligned goals, a prioritised and funded use-case portfolio, and the operating model to build and scale it, owned by you.
- For whom
- Leaders past scattered AI pilots who need one coherent, organisation-wide approach, grounded in their own business rather than a vendor tour.
- Exit
- Built to Leave. You own the strategy, the portfolio and the operating-model design, whether we build the first items or your team does.
Where it sits
The front-door to the OS Architecture stack: it lays the foundations and decides what is worth building, before anything gets built.
When: the pilots are scattered and nothing has reached the operation.
How it works
Four steps, run inside your operation. Align to the business: where AI actually moves revenue or outcome, coupled to your business, IT, R&D and data strategy, with one to three north-star KPIs. Define the goals across six dimensions: vision, drivers, value, alignment, risk and adoption. Prioritise the portfolio into a compact, funded backlog, with buy versus build and the cost-benefit line decided. Then stand up the operating model: governance, data pipelines, engineering and MLOps, enablement and the roles to run it.
What it is
Most AI effort is scattered pilots that impress in a demo and never reach the operation. AI Strategy lays the groundwork instead: a short, senior engagement that ties AI to your business, sets how you will measure it, decides where to start, and designs the operating model to run and scale it. The point is a foundation the whole organisation can build on, not a slide about the future.
What you get
- A business-aligned AI agenda. AI coupled to your business, IT, R&D and data strategy, with one to three north-star KPIs.
- A goal set across six dimensions. Vision, drivers, value, alignment, risk and adoption, so success is defined before the build.
- A prioritised, funded portfolio. A backlog of use cases scored by payback and effort, with buy-versus-build decided.
- An operating-model blueprint. Governance, data pipelines, engineering and MLOps, enablement and roles, so what you build can actually run and scale.
How it ends
Built to Leave. You keep the strategy, the portfolio and the operating-model design. Build the first priorities with us as Conversational Operations, or hand them to your own team; either way the organisation moves on evidence and a funded plan, not a trend.
Where this sits in the four phases.
Every service runs through the same method: shadow the live operation, design the architecture, operate with your team, then hand over.
Diagnose in your live operation. Decision logic, data flows, role boundaries. We watch how the work actually gets decided before we touch anything.
Channel logic, audience model, KPI framework, MarTech, workflow. The operating system on paper, agreed with your leadership before we build.
Operate with your team. Forecasting, media buying, automation. Enablement runs in parallel so ownership moves to your people while the system runs.
Attribution, incrementality, business impact. Then the handover cut: documentation, access, and usually the full-time leader we helped you hire.
Runs well with
Start the conversation on AI Strategy
No cart, no checkout. You tell us the situation, an operator reads it, and we come back with scope and price.
Got it. Operator time booked.