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AI integration

Automate. Simplify. Strengthen. Integration of AI copilots (Copilot M365, ChatGPT), no-code automations, internal templates. Useful, ethical, and robust AIs for business, IT, or support.

Why adopt Microsoft AI?
Issues
Managed Risks
Tangible Benefits

Intelligent Automation

Costly Manual Processes

Productivity +30% via Copilot & Power Automate + GPT

Data Exploration

Intuition-Based Decisions

Real-Time Insights (Azure AI Search + Power BI)

Customer Personalization

Standardized Journeys

AI Recommendations (Azure Personalizer, Copilot Dynamics)

Security & Compliance

Leaks, Biases, Weak Governance

Responsible AI + Encryption + Private Endpoints

Quick ROI

Isolated POCs

Ready-to-Use OpenAI Models and M365 APIs

Our 4-step method
Step
Objective
Key Deliverables

1 — Design

Identify high-value use cases

• Design workshop • Effort/Benefit matrix

2 — Construction

Build a prototype using Azure OpenAI and Azure ML

• Functional prototype • Security/Network integration diagrams

3 — Securing

Deploy the Zero Trust principle and responsible AI

• RBAC/MFA • Private Link, Key Vault • Bias analysis and content control

4 — Operation

Industrialize and manage the solution

• Automation pipelines • Power BI dashboard (costs, usage, security)

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Technical Scope Covered

  • Azure OpenAI Service : GPT-5, embeddings, assistants

  • Azure AI Services : Vision, Speech, Language, Translator, Content Safety

  • Azure Machine Learning : notebooks, AutoML, managed endpoints, MLflow

  • Power BI : advanced data visualization with built-in AI

  • Microsoft 365 & Dynamics 365 Copilot : Word, Excel, Teams, CRM, ERP

  • Power Platform : AI Builder, Power Automate connected to OpenAI

  • Native Security : Entra ID, Managed Identity, Private Link, Key Vault, Defender for Cloud, Purview (DLP & classification)


Deliverables & Support

  1. AI Scoping Report – use cases, estimated ROI, risk matrix ISO 27001/NIS2.

  2. Secure Azure OpenAI Prototype – Python/Logic Apps code + API specification.

  3. Secure Deployment Plan – private network, Key Vault, centralized logging.

  4. Responsible AI File – checklist for bias, privacy, content filtering.

  5. FinOps & SecOps Dashboard – Azure costs + AI Secure Score.

  6. 90 Days Post-Production Support – model tuning, cost management, security patching.


Why BubbleStone?

  • Triple Expertise : Applied AI, Microsoft Cloud, Cybersecurity.

  • Microsoft Solution Partner – Data & AI.

  • Certifications : SC-100, Azure AI Engineer, ISO 27001 Lead Auditor.

  • In-house Accelerators : ready-to-use OpenAI scripts, Responsible AI policies.

  • Independence : no resale of third-party solutions, 100% objective advice.


Next Step

Ready to activate AI?

Book a Microsoft AI Scoping Workshop (30 minutes) to validate your use cases, estimate ROI, and define a secure roadmap.