Cloud & AI

Aging applications, fragmented data, and unpredictable costs make change harder than it needs to be. Establish cloud, data, and AI foundations around business priorities, with deliberate decisions about reliability, security, ownership, and ongoing operations.

Capabilities

Design governed Azure foundations with identity, networking, policy, and Defender for Cloud posture and protection planning.
Assess application dependencies and prioritize retention, migration, or modernization decisions.
Connect data integration, shared definitions, quality, and access into trusted analytical foundations.
Plan AI application hosting, evaluation, integrations, and release controls.
Build recovery, monitoring, support, and cost accountability into the operating model.

Deliverables

A landscape assessment linking platform constraints and technical debt to business priorities.
A target architecture with documented tradeoffs, dependencies, and responsibility boundaries.
A sequenced delivery roadmap with workload priorities, readiness gates, and effort estimates.
An operations plan covering recovery objectives, monitoring, cost ownership, and improvement reviews.

Business value

Create a foundation that supports change without transferring hidden risk into operations. Baseline reliability, recovery, data quality, and cost allocation, then use those measures to prioritize modernization and investment.

Start with a cloud and data modernization roadmap.

Bring the application landscape, critical data sources, current costs, and operating constraints. Select a bounded platform or workload scope and agree the decisions the roadmap must enable.

Azure, Fabric, Purview, Foundry, Defender for Cloud