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Azure Data & AI Practice — CC Conceptualise GmbH

10 High-Impact Azure AI Offerings

Production-grade Azure Data & AI engagements built by a certified Azure Solutions Architect Expert — from strategy to working systems, with enterprise security baked in from day one.

10+

Years Azure

15+

Certifications

50+

Projects

Fortune 500

Clients Served

Most Popular
01
Foundation Build

Azure Data & AI Platform Build

A fully productionised, enterprise-grade Data & AI platform on Azure — scalable from day one, secured by design, and ready to power your data science and AI workloads.

What's Included

  • Azure Synapse Analytics + Data Lake Gen2 architecture design & provisioning
  • Azure ML Workspace setup with compute clusters & environment standardisation
  • Unity Catalog-style governance with RBAC, private endpoints & network isolation
  • CI/CD pipelines (Azure DevOps / GitHub Actions) for data & model deployments
  • Terraform IaC modules, monitoring dashboards & runbook documentation
  • Team onboarding sessions & architecture decision records (ADRs)

Technology Stack

Azure SynapseAzure MLData Lake Gen2TerraformAzure DevOpsPySparkAzure Monitor

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

6 – 10 Weeks

Book a Discovery Call
High Demand
02
Agent Platform

Azure AI Agents Landing Zone

A production-ready multi-agent orchestration environment on Azure — the secure, governed foundation your enterprise needs before deploying AI agents at scale.

What's Included

  • Azure AI Foundry (formerly Azure AI Studio) setup with agent hub & project isolation
  • Multi-agent orchestration via Semantic Kernel or AutoGen on AKS / Azure Container Apps
  • Secure tool/function registry with API Management gateway & rate limiting
  • Agent observability: tracing, token usage, cost tracking via Azure Monitor + App Insights
  • Guardrails layer: content filtering, prompt injection defence & hallucination mitigation
  • Reference agent implementation + developer playbook & team enablement workshop

Technology Stack

Azure AI FoundrySemantic KernelAutoGenAKSAzure OpenAIAPIMApp Insights

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

8 – 12 Weeks

Start the Conversation
03
RAG · Knowledge AI

Enterprise RAG Solution on Azure

Turn your internal knowledge base into a fully queryable, secure AI assistant — grounded in your data, not hallucinations. Purpose-built for regulated industries.

What's Included

  • Azure AI Search (vector + hybrid search) index design & ingestion pipelines
  • Azure OpenAI (latest GPT) or models via Azure AI Foundry (Anthropic, Mistral, etc.) — integration with grounding, citation, and source attribution
  • Document chunking strategy, embedding pipeline (ada-002 / text-embedding-3-large)
  • Multi-format ingestion: PDF, SharePoint, Confluence, SQL, Blob Storage
  • Evaluation framework: RAGAS metrics, relevance scoring & quality dashboard
  • Role-based data scoping (user only sees what they're entitled to)

Technology Stack

Azure AI SearchAzure OpenAIAzure AI FoundryLangChainAzure FunctionsCosmos DBRAGASSharePoint

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

5 – 8 Weeks

Get a Custom Quote
04
MLOps · Automation

Azure MLOps Pipeline Buildout

Stop shipping models manually. Get a fully automated, reproducible ML lifecycle — from experiment tracking to production serving — with enterprise-grade auditability.

What's Included

  • Azure ML Pipelines with component-based architecture & reusable step library
  • Automated model training, evaluation, registration & blue/green deployment
  • Data drift & model performance monitoring with automated retraining triggers
  • MLflow experiment tracking, model registry & lineage documentation
  • Online & batch inference endpoints with auto-scaling on AKS or Managed Endpoints
  • Full CI/CD integration, team training & MLOps maturity assessment report

Technology Stack

Azure MLMLflowAzure DevOpsDockerAKSPrometheusGrafana

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

4 – 7 Weeks

Accelerate Your ML Delivery
Fast Delivery
05
Governance · Security

Azure OpenAI Governance & Security

Deploy Azure OpenAI safely in regulated environments. A comprehensive governance layer that satisfies your CISO, your auditors, and your legal team — without slowing down innovation.

What's Included

  • Private Azure OpenAI deployment with VNet integration & no public internet exposure
  • Prompt & response logging with Azure Monitor, Log Analytics & SIEM integration
  • Content safety policies, PII redaction pipeline & custom blocklist configuration
  • Responsible AI policy documentation aligned with EU AI Act requirements
  • Token quota management, cost controls & per-team usage dashboards
  • Security audit report + recommendations for ongoing AI governance posture

Technology Stack

Azure OpenAIAzure SentinelEntra IDAPIMKey VaultAzure PolicyDefender for Cloud

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

3 – 5 Weeks

Secure Your AI Stack
06
Data Warehouse

Azure Synapse Analytics Accelerator

Modernise your data warehouse and analytics estate on Azure Synapse — replacing legacy on-prem systems with a cloud-native, cost-efficient architecture that actually performs.

What's Included

  • Synapse Analytics workspace design: Dedicated SQL Pool sizing & Spark pool configuration
  • Medallion architecture (Bronze / Silver / Gold) with Delta Lake on ADLS Gen2
  • ELT pipelines migrated from legacy SSIS / on-prem SQL to Synapse Pipelines
  • Power BI DirectQuery integration + semantic model layer & row-level security
  • Cost governance: auto-pause, workload management & reserved capacity planning
  • Migration runbook, data quality validation framework & go-live support

Technology Stack

Azure SynapseDelta LakeADLS Gen2Power BIPySparkAzure Data Factory

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

6 – 10 Weeks

Modernise Your Data Stack
07
Real-Time AI

Real-Time AI Inference Platform

Sub-100ms model serving at enterprise scale. A high-throughput, low-latency AI inference layer on Azure Kubernetes Service — for when batch processing isn't fast enough.

What's Included

  • AKS-based inference cluster with GPU node pools, Triton or TorchServe backend
  • Model optimisation: ONNX conversion, quantisation & TensorRT acceleration
  • Auto-scaling (KEDA) with traffic-based pod scaling and fallback routing
  • A/B testing & canary rollout framework for model version comparison
  • Latency SLO dashboards (p50/p95/p99), alerting & capacity planning runbook
  • Load testing suite + documented API contract for consuming teams

Technology Stack

AKSTriton ServerONNXKEDAPrometheusGrafanaAzure APIM

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

6 – 9 Weeks

Get Production-Grade Inference
08
Document AI

Intelligent Document Processing

Eliminate manual document handling. An end-to-end Azure AI pipeline that extracts, classifies, validates, and routes structured data from any document — at scale, with audit trails.

What's Included

  • Azure AI Document Intelligence custom model training for your document types
  • LLM enrichment layer using Azure OpenAI (latest GPT) or Azure AI Foundry models (Anthropic, Mistral, etc.) for unstructured fields, summaries & anomaly detection
  • Confidence scoring, human-in-the-loop review queue & exception routing
  • Downstream integration: ERP, CRM, SQL, SharePoint or custom REST APIs
  • Full audit trail per document with processing timestamps and operator actions
  • Accuracy benchmarking report & operational handover documentation

Technology Stack

Azure Doc IntelligenceAzure OpenAIAzure AI FoundryLogic AppsService BusCosmos DBPower Automate

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

4 – 7 Weeks

Automate Your Documents
09
Copilot · M365

Azure AI Copilot Factory

Ship your own branded AI assistant in weeks — not months. A custom Microsoft Copilot or Teams-integrated AI bot, grounded in your data and aligned to your workflows.

What's Included

  • Copilot Studio or Azure Bot Framework setup with custom skill architecture
  • Azure OpenAI backend with RAG-grounded responses from your knowledge sources
  • Teams, SharePoint & M365 integration with SSO via Entra ID
  • Conversation memory, session context & multi-turn dialogue management
  • Feedback loop: thumbs up/down, usage analytics & continuous improvement workflow
  • User adoption playbook, change management guide & admin documentation

Technology Stack

Copilot StudioAzure OpenAIAzure AI SearchTeamsEntra IDCosmos DB

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

5 – 8 Weeks

Build Your AI Assistant
Strategic Engagement
10
AI Strategy · Advisory

AI Readiness Assessment & Roadmap Sprint

Not sure where to start with Azure AI? This intensive 2-week engagement produces a board-ready AI strategy, a prioritised implementation roadmap, and a risk-qualified architecture blueprint — so your leadership can make confident, data-driven decisions before committing to a full build.

What's Included

  • Current-state assessment: data maturity, AI readiness & cloud architecture review
  • Use-case prioritisation workshop (business value vs. technical complexity scoring)
  • Azure AI architecture blueprint for top-3 priority initiatives
  • EU AI Act & GDPR risk assessment for planned AI use cases
  • 12-month phased implementation roadmap with effort & cost estimates
  • Executive presentation deck (board/C-suite ready) + Q&A session

Ideal for

  • CDOs, CTOs or CIOs building their Azure AI strategy from scratch
  • Enterprises with AI ambitions but no clear starting point
  • Companies post-PoC looking to scale and productionise AI
  • Boards requiring risk & compliance clarity before AI investment approval
  • Scaleups preparing for Series B/C with AI as a differentiator

Technology Stack

Azure AI FoundryAzure OpenAIAzure SynapseEU AI ActGDPRArchitecture Review

Commercial model

Hourly billing or a fixed-price quote — we agree the model and scope together after discovery.

Timeline

2 Weeks · Intensive Sprint

Book the Sprint

Not sure which offer is right for you?

Every engagement starts with a free 30-minute discovery call. Bring your challenges — we'll tell you exactly which path makes the most sense, with honest timelines and realistic costs.

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No commitment · No sales pressure