Azure AI Foundry & Microsoft Fabric Consulting
Deburise is a Bangalore-based Azure AI Foundry and Microsoft Fabric consulting company shipping enterprise-grade AI agents, Copilot Studio apps, and Fabric data platforms - end to end, hosted and maintained.
What Deburise ships on Azure AI Foundry and Fabric
The measurable case for the Microsoft AI stack
Aggregated impact across Fabric implementations and Foundry deployments. Same enterprise workloads, dramatically different unit economics and time-to-value versus a stitched-together data lake plus separate AI platform.
CapabilitiesSix focused delivery lines on the Microsoft AI & data stack
Azure AI Foundry Agent Development
Custom AI agents built on Foundry - grounded on your private data via RAG, orchestrated with prompt flow, evaluated on continuous test suites, monitored end to end. From single-purpose agents to multi-agent systems.
Microsoft Fabric Implementation
End-to-end Fabric setup for enterprises. Tenant architecture, OneLake design, workspace governance, pipeline migration, semantic modelling, Power BI publishing, and phased rollout across business units.
Copilot Studio Custom Copilots
Customer-facing and internal Copilots built on Copilot Studio. Grounded on your knowledge base, integrated with Microsoft 365, Teams, Dynamics, and third-party systems. Full evaluation and safety guardrails.
Azure OpenAI at Enterprise Scale
Production Azure OpenAI deployments with content filtering, PTU planning, cost controls, and multi-region failover. Compliance-aware for regulated industries. No surprises when the invoice arrives.
Power BI & Semantic Modelling
Modern semantic models on Fabric, DirectLake mode for real-time reporting, embedded Power BI in your apps, and paginated report modernisation. Reports that finally match how your business actually thinks.
Migration to Fabric from Legacy Stacks
Full migrations from Snowflake, Databricks, Redshift, BigQuery, Azure Synapse, or on-prem warehouses to Microsoft Fabric. Lineage mapping, parallel-run validation, Power BI report migration, user training.
Legacy stitched stack vs unified Microsoft AI & data stack
Same enterprise data, same AI ambitions. Different governance posture, different cost profile, and dramatically simpler operating model on Fabric plus Foundry.
- Platform count for AI + data3 to 6 (warehouse + lake + BI + AI + orchestration)
- Data movement between platformsConstant ETL
- Governance modelPer-tool, fragmented
- Time-to-first-Copilot on private dataMonths
- Licence sprawlBaseline
- Where models and reports liveDuplicated everywhere
- Platform count for AI + data1 (Fabric + Foundry)
- Data movement between platformsOneLake shortcuts, no copies
- Governance modelUnified across all workloads
- Time-to-first-Copilot on private data5 to 8 weeks
- Licence sprawl40 to 55% lower
- Where models and reports liveOne semantic layer
HowFrom assessment to production on the Microsoft stack
Assess
Two-week discovery. Current data estate, AI ambitions, governance model, existing Azure footprint. Locked scope with success metrics for phase one. Bangalore clients get an on-site working session.
Design
Fabric tenant architecture, OneLake layout, Foundry project structure, model catalogue selection, security and identity model. Sign-off from your enterprise architecture and security teams before any code.
Build
Senior engineers implement Fabric pipelines and semantic models, Foundry agents with prompt flow and evaluation, Copilot Studio apps as needed. Weekly working demos so leadership sees progress, never a big-bang reveal.
Operate
Ongoing hosting on your Azure tenant, incident response, feature additions, model updates, and quarterly optimisation reviews. Fixed monthly run cost, no hidden fees.
How Fabric + Foundry investment splits into outcomes
Composition of impact across our Microsoft-stack engagements. The biggest wins are not just about better tools - they are about consolidating a stitched stack into one governed platform.
- Platform consolidation and licence savings30%
- Faster time-to-value on new AI use cases26%
- Unified governance and compliance20%
- Report modernisation and self-service BI14%
- Migration cost-out from legacy warehouses10%
What good looks like on a Deburise Microsoft-stack deployment
Targets we ship against on every Azure AI Foundry and Fabric engagement. Security and governance are wired in by default.
WhyWhy enterprises are consolidating on Fabric and Foundry
The last decade of enterprise data infrastructure was a stack of best-of-breed tools. Warehouse, lake, streaming, BI, ML, AI - each with its own governance, its own licence, its own vendor relationship. Microsoft's bet with Fabric plus Foundry is that unified beats stitched for most enterprises. For teams already on Azure, the maths is now compelling.
One governance model instead of six
Fabric's shared workspace security applies across data engineering, warehousing, data science, real-time analytics, and Power BI. Foundry inherits Azure AD, Key Vault, and Policy. Your security team stops maintaining seven different access matrices.
The data does not move
OneLake shortcuts let Fabric workloads read data in place across storage accounts, other tenants, and even AWS S3 and Google Cloud Storage. That single change eliminates weeks of ETL work per new use case.
AI grounded on the data you already have
Foundry projects can point directly at your Fabric semantic models. Copilot Studio apps can read your Fabric lakehouses without a separate data pipeline. AI stops being a bolt-on and starts being the natural next layer on the data platform you already trust.
The full Microsoft AI and data stack, in production
Deburise engineers deploy across Microsoft's AI, data, and productivity platforms. Every implementation runs on your Azure tenant with the governance and compliance model your enterprise architecture team already trusts.
Enterprise platform for generative AI apps and agents. Model catalogue, prompt flow, evaluation, monitoring, and Azure security.
Unified analytics platform. OneLake, data engineering, warehouse, real-time analytics, and Power BI in one governed SaaS.
Low-code platform for custom Copilots grounded on your knowledge base. Integrated with M365, Teams, and Dynamics.
Enterprise-grade OpenAI models on your Azure tenant. Content filtering, PTU capacity, compliance, and cost controls built in.
Modern semantic models on Fabric, DirectLake mode for real-time reporting, and embedded analytics in your apps.
Copilot integrations, Teams bots, SharePoint automations, and Graph API extensions across the productivity suite.
Microsoft, Azure, Microsoft Fabric, Azure AI Foundry, Copilot Studio, Azure OpenAI, Power BI, and Microsoft 365 are trademarks of Microsoft Corporation. Product names and logos are used here for identification purposes only under nominative fair use. Deburise is an independent AI and data consulting company; use of these marks does not imply Microsoft endorsement or a formal Microsoft Partner relationship unless separately stated.
QuestionsAnswers to common questions about this service.
Is Deburise an Azure AI Foundry consulting company?+
Yes. Deburise builds and deploys production applications on Azure AI Foundry - agent-based systems, generative AI apps grounded on private data, and Copilot Studio integrations. Our team stays in the loop on every architecture and review decision, and we handle hosting on Azure or your own tenant plus ongoing maintenance. We work with Bangalore-based enterprises and global clients.
What is Azure AI Foundry?+
Azure AI Foundry (previously Azure AI Studio) is Microsoft's unified platform for building, deploying, and managing generative AI apps and AI agents. It provides model catalogue access (OpenAI, Meta, Mistral, Cohere and more), agent building blocks, evaluation, prompt flow orchestration, monitoring, and enterprise security. It is Microsoft's answer for teams that want a governed way to ship GenAI beyond raw API calls.
What is Microsoft Fabric?+
Microsoft Fabric is Microsoft's unified analytics platform combining data engineering, data warehousing, data science, real-time analytics, and Power BI in a single SaaS. It uses a single storage layer called OneLake and lets teams work across all workloads with shared governance, security, and lineage. It is Microsoft's alternative to running a stack of Databricks plus Snowflake plus Power BI plus Kafka.
Do you provide Microsoft Fabric implementation services in Bangalore?+
Yes. Deburise provides end-to-end Microsoft Fabric implementation for Bangalore-based enterprises and global clients. Assessment, tenant setup, workspace design, OneLake data architecture, pipeline migration from legacy warehouses, Power BI semantic models, real-time analytics, governance, and training. We handle migrations from Snowflake, Databricks, Redshift, Synapse, and legacy on-prem warehouses.
How is Deburise different from Big Four Microsoft consulting?+
Three differences. First, senior engineers do the work, not junior consultants doing on-the-job training on your dime. Second, we ship in weeks, not quarters - AI-native development on the Microsoft stack is dramatically faster with the right team. Third, we handle ongoing hosting, maintenance, and support after go-live, rather than handing back a deck and walking away.
Can you migrate our existing data platform to Microsoft Fabric?+
Yes. We handle full migrations from Databricks, Snowflake, Redshift, BigQuery, Azure Synapse, and legacy on-prem SQL Server or Oracle warehouses to Microsoft Fabric. Includes data lineage mapping, workload prioritisation, phased cutover with parallel-run validation, Power BI report migration, and user training. Typical Fabric migrations complete in 8 to 16 weeks depending on data volume and integration complexity.
Do you build Copilot Studio agents?+
Yes. Copilot Studio is Microsoft's low-code agent-building platform on top of Foundry. We use it for customer-facing Copilots grounded on your knowledge base, internal Copilots for HR, IT, and operations, and integrations with Microsoft 365, Teams, and Dynamics. Every Copilot Studio agent we ship includes evaluation harness, monitoring, and clear handover paths to humans.
What Microsoft partnerships or certifications does Deburise hold?+
We work as an independent AI & data consulting company and align our practice with Microsoft's Azure AI Foundry and Fabric best-practice frameworks. Our engineers hold relevant Azure certifications (Azure AI Engineer Associate, Fabric Analytics Engineer, Azure Data Engineer) and we deploy on client Azure tenants with the appropriate governance model. If you need a formal Microsoft Partner engagement structure, we can coordinate with your existing partner ecosystem.
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