Trustworthy foundation
Clean pipelines, clear ownership and governed access, so the numbers reconcile and leadership actually trusts them.
Data and analytics
Decisions are only as good as the data underneath them.
Dashboards no one trusts, numbers that don't reconcile, and "self-service analytics" that turned into a swamp of conflicting reports. Then someone wants to build AI on top of it, which makes the mess worse.
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Business outcomes
What this solution is designed to improve.
We build governed data foundations — clean pipelines, clear ownership, controlled access — using Microsoft Fabric, Power BI, BigQuery and the right tool for your stack. The same foundation that gives trustworthy reporting is what makes AI on your data safe.
One source of truth
A shared data model ends the "five reports, five different totals" problem.
Governed access
Sensitive data is classified and access-controlled, which is also what makes AI on your data safe.
Ready for AI
The same foundation that powers reliable reporting is what a RAG or analytics AI can safely stand on.
Related services
Capabilities connected to this solution.
These services can be delivered independently or combined into a larger roadmap.
Data & Analytics
Pipelines, warehouses and governed access that turn scattered data into numbers your leadership actually trusts.
Microsoft Fabric
Unify data engineering, warehousing and BI on Microsoft Fabric — one governed platform instead of a stitched-together stack.
Power BI
Power BI done properly — a trustworthy data model underneath, governed sharing, and reports people actually use.
Microsoft Purview
Know where your sensitive data is, classify it, and protect it — data governance and compliance with Microsoft Purview.
Azure OpenAI
Enterprise Azure OpenAI deployments with private networking, data governance, cost control and monitoring — GPT capability inside your security boundary.
Industry fit
Designed for teams that need accountable production delivery.
Industry mapping helps connect the solution to security, compliance, data and operating needs.
Retail & E-commerce
Resilient customer experiences, analytics, automation and performance for commerce teams that live or die by peak-day traffic.
Manufacturing
Connected operations, secure infrastructure, automation pipelines and analytics for distributed manufacturing teams.
Logistics
Cloud platforms, system integrations, analytics and AI automation for logistics teams that need real-time visibility.
Delivery path
Structured around practical adoption and operational handover.
CloudevTech connects strategy, architecture, implementation and enablement so the solution can be supported after launch.
CloudevTech
Enterprise delivery model
01
Discover
02
Architect
03
Implement
04
Validate
05
Operate
Related proof
Representative delivery pattern.
Case studies are selected where public details can be shared without exposing confidential client information.
Enterprise AI agents needed access to production tools. Security needed to sleep at night.
Controlled AI-agent tool access with least-privilege scoping, mediated APIs and BigQuery audit logging.
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