Define Data & AI strategy
Turn data and AI ambition into a clear, prioritised and achievable plan.
How Ribuix can help
Ribuix helps leadership teams decide where data and AI will create value, and what must be in place to deliver it. We connect business goals to a prioritised set of use cases, a target platform architecture, an operating model and a costed roadmap. The result is a strategy your teams can act on, rather than a document that sits on a shelf.
Many organisations invest in platforms and pilots without an agreed direction. Initiatives compete for budget, AI experiments stall before reaching production, and nobody can say which data investments matter most.
We start from business outcomes, not technology. Use cases are scored on value, feasibility and risk, then sequenced into a roadmap that shows the data foundations, skills and governance each step depends on.
Capabilities
Data & AI vision and ambition
Workshops with leadership to agree what data and AI should achieve, and how success will be measured.
Current-state assessment
A candid review of existing data, platforms, skills, governance and delivery practices against your goals.
Use-case identification and prioritisation
Opportunities scored on business value, feasibility, data readiness and risk, so investment goes where it pays back.
Target architecture and platform selection
A fit-for-purpose view of Microsoft Fabric, Databricks, Snowflake or a combination, based on your workloads and skills.
Operating model and organisation design
How data and AI work will be owned and delivered: central, embedded or federated, with clear roles and decision rights.
Business case and roadmap
A phased, costed plan with milestones, dependencies, risks and the benefits each phase should deliver.
Where this fits in our wider work
Strategy that connects to delivery
Draws on Ribuix's hands-on delivery experience so the roadmap reflects what can really be built, staffed and run, not just what looks good on a slide.
A bridge to the other services
Each roadmap item links to the work that delivers it: platform modernisation, governance, AI-ready data foundations, team setup and delivery models.
From first conversation to handover
Align
Understand business goals, constraints and stakeholders; agree what success looks like.
Assess
Review current data estate, capabilities and delivery practices; identify gaps and quick wins.
Prioritise
Score and select use cases, and define the target architecture and operating model.
Plan
Produce the roadmap, business case and first-90-day plan, ready for sign-off.
Typical deliverables
- Data & AI vision and principles
- Current-state assessment
- Prioritised use-case portfolio
- Target architecture and platform recommendation
- Operating model and roles
- Costed roadmap and business case
Technologies we work with
What you can achieve
Clear priorities and ownership for data and AI
A funded, sequenced roadmap
Fewer stalled pilots and duplicated efforts
Executive and delivery teams working to the same plan
How long does a strategy engagement take?
Typically a few weeks, depending on the size of the organisation. We can start with a short assessment and expand only where needed.
Do we have to choose one platform?
No. We recommend based on your workloads, skills and existing Microsoft estate, which may be one platform or a deliberate combination.
Will the strategy include next steps we can act on?
Yes. Every strategy ends with a sequenced roadmap and a first-90-day plan, so work can start straight away.
Ready to discuss this with our team?
Tell us about your environment and goals – we will suggest a practical next step.