01
The mandate is set
Leaders are told to do something with AI and expected to show results this year.
A diagnostic for the AI era
The AI Audit.
An AI diagnostic of your business, engineered to find the processes where AI can deliver measurable value first.
Engagement
4-6 weeks
Audience
CEOs & C-suite
The audit is the starting point. Outputs include a prioritised AI roadmap, a reusable case study library, and the delivery plan behind Fabric, Foundry, funding, and programme execution.
Diagnose
Map
Measure
The market moment
Pressure to act is high. Clarity is not.
Boards are approving budgets, teams are buying tools, and pilots are multiplying. Activity is not the same as outcomes, and the gap is where AI investment quietly disappears. The audit turns diagnosis into a case study library leaders can use to compare opportunities and choose what moves first.
02
The spend is flowing
Licences, pilots, and platforms are bought before anyone agrees where value is.
03
The map is missing
Few teams can say where AI moves a metric, by how much, or what to do first.
Diagnose. before you prescribe
Map. before you automate
Measure. before you invest
Strategic delivery partnership
Where strategy meets delivery
Ocora delivers business advisory, use-case shaping, and programme direction; Kumulus supports the technical delivery with deep Microsoft cloud, data, and AI implementation capability.
What you get
The AI Audit turns pressure into a practical plan.
In 4-6 weeks, we turn leadership intent, process reality, and delivery constraints into a clear view of where AI should move first.
Process map
A clear view of the workflows, handoffs, pain points, data touchpoints, and ownership needed before automation starts.
Opportunity library
A reusable set of candidate AI opportunities framed as case studies, with the problem, value, platform fit, and delivery route captured.
Prioritisation model
A ranked view of impact, complexity, dependency, risk, and success criteria so leaders can choose the first move with confidence.
Delivery roadmap
A practical plan for what to prototype, what to platform, where funding may help, and how to move from diagnosis into delivery.
How we work together
Our approach starts with The AI Audit: business process insight, a case study library of prioritised opportunities, then the Fabric foundations, Foundry AI delivery, and delivery plan to make them real.
Business process insight
We map the process, surface friction, define priority use cases, and build the case study library AI and data delivery can work from.
Process Mapping
Use-Case Discovery
Value Drivers
Case Study Library
Microsoft Fabric foundations
Business-led data modernisation shaped for Microsoft Fabric, from estate design through semantic models and governed analytics foundations.
OneLake Design
Data Architecture
Semantic Models
Governed Analytics
Microsoft Foundry AI delivery
Governed AI use cases, retrieval and search patterns, agent workflows, and production-minded Foundry delivery that stays anchored to business value.
Agent Workflows
RAG & Search
Evaluation
Operational Governance
Funding-aligned delivery model
Delivery planning, business case development, and programme design aligned to the right Microsoft funding options where available.
Azure Accelerate
ECIF
Value Cases
Delivery Planning
Microsoft funding support
Want to know if funding could support your project?
Leave your email and we’ll get back to you about relevant funding routes, eligibility considerations, and the right next step for your opportunity.
What we’ll check
Use case fit, timing, Microsoft alignment, customer context, and likely delivery shape.
Important note
Funding availability and approval remain subject to current Microsoft programme rules.
Best Fit
Where this approach delivers the most value.
The partnership is strongest where organisations need business clarity, dependable delivery, and a clear route from data modernisation into AI.
Designed for organisations investing in modern data and AI.
The combination is especially effective where Fabric establishes the data platform and Foundry enables the next stage of AI adoption.
Typical client needs
Fabric modernisation with an AI roadmap behind it
Clients need to modernise data architecture first, but want a clear line from Fabric investment into future Foundry AI value.
Foundry use cases that need better data foundations
Clients want AI apps, copilots, or agents, but need advisory input, architecture, and platform work to make the use case operationally credible.
Funding-sensitive opportunities
A programme may benefit from Microsoft funding options such as Azure Accelerate, ECIF, or similar routes where approved.
Existing accounts ready for expansion
The relationship is already established, but the next phase needs stronger advisory direction and delivery depth to support a broader Fabric and Foundry programme.
