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Enterprise AI Governance · Microsoft 365 Copilot · AI Agents

Enterprise AI
governance
in practice.

Focused on enterprise AI governance, Microsoft 365 Copilot, and AI agents — with 18 years of Microsoft ecosystem experience delivering across complex international environments.

View governance framework →
Frameworks, selected work, and practical governance models
LAUSANNE, SWITZERLAND
"AI becomes valuable when governance, ownership, and delivery move together."
AI Agents AI Governance Copilot Studio EU AI Act PDPL · NDMO Microsoft 365 ISO 42001
18
years enterprise expertise
1
governance framework published
7+
AI-focused credentials
— WHAT I DO

Three focus areas.
One profile.

A concise view of the areas where my work and interests currently meet: enterprise AI governance, Microsoft 365 Copilot and AI agents, and practical knowledge sharing.

01 —
🤖

AI Agents
& Control Patterns

Selected hands-on work across Copilot Studio and agentic tooling, focused on practical control patterns, governed adoption, and lifecycle decisions rather than volume building.

Copilot Studio · Agent patterns · Control design
View selected work →
02 —
⚖️

Enterprise AI
Governance

Framework design, lifecycle governance, risk classification, and operating models for Microsoft Copilot and AI agents in enterprise environments.

EU AI Act · Swiss FADP · PDPL · NDMO
See framework →
03 —
🎓

Insights
& Literacy

Notes, frameworks, and plain-language explanations shaped by real enterprise work in governance, Copilot, and AI adoption.

Frameworks · Notes · Practical explainers
Explore insights →
— SELECTED WORK

Selected agent work.

Selected agent implementations and controlled prototypes that inform governance design, lifecycle decisions, and operational trade-offs in real environments.

AGENT — 001
Mentor Match
Workflow-driven agent pattern combining lead capture, routing, and contextual responses
MindStudio Claude Sonnet Make.com Google Sheets
Deterministic workflow agent · Prototype pattern · Governable by design
AUTOMATION FLOW
01
Email gate
User submits email — stored as user_email variable
02
Location selection
User picks New Zealand or Australia — stored as user_location
03
Webhook fires to Make.com
HTTP POST sends email, location, and timestamp
04
Google Sheets row created
Lead data written automatically — no manual entry
05
Router branches by location
Comparison node routes to NZ or AU mentor branch
06
Mentor chat begins
Claude Sonnet responds using location-specific knowledge base
TOOLS USED
MindStudio
Agent builder — workflow, routing, and user input nodes
Claude Sonnet
LLM powering contextual mentor chat responses
Make.com
Webhook automation — receives payload, writes to Sheets
Google Sheets
Lead database — email, date, location per row
AGENT CLASSIFICATION
Deterministic workflow agent
Follows a predefined linear flow with conditional branching. AI handles only the conversation layer — routing and data capture are rule-based, not autonomous.
OUTCOMES
1
Governed prototype
3
Core control points
Low
Autonomy level
AGENT — 002
In development
AGENT — 003
In development
— GOVERNANCE

Governance that
scales with AI.

A practical governance approach for Microsoft Copilot and AI agents, shaped around lifecycle control, ownership, review, and responsible deployment.

7-Stage AI Agent Lifecycle
01Ideation & Business Case
02Risk Classification
03Design & Architecture
04Build & Test
05Governance Review
06Deploy & Monitor
07Decommission
RACI — ROLES INVOLVED
RAgent Owner AAI Gov. Lead CData Privacy IBiz. Sponsor CSecurity ILegal
AI Agents Risk Classification
Tiered risk model for classifying AI agents by autonomy level, data sensitivity, and business impact — enabling proportionate governance controls.
Risk tiersImpact assessmentAutonomy levels
Policy & Regulatory Alignment
Practical mapping of AI agent deployments to EU AI Act, Swiss FADP, Saudi PDPL, and NDMO requirements in a way business and technology teams can use.
EU AI ActPDPLNDMOISO 42001
Copilot & Agent Governance
End-to-end governance for Microsoft Copilot and autonomous agent deployments — from AI readiness assessment to operational controls and monitoring.
Microsoft 365Copilot StudioAgent catalog
Executive Reporting View
A concise structure for sharing AI agent portfolio status, ownership, risk posture, review cycles, and deployment readiness with leadership teams.
Portfolio reportingReview cadence
— INSIGHTS

Practical notes.
No consultancy pitch.

A small library of practical notes and plain-language explainers shaped by enterprise work in Microsoft 365, Copilot, governance, and AI agents.

FREE

What is an AI agent, really?

The difference between a chatbot, a copilot, and an autonomous agent — explained without buzzwords.

FREE

AI agent governance, in plain English

A practical explainer for leaders and teams on lifecycle, ownership, controls, and risk when AI agents move into enterprise environments.

FREE

Why Copilot deployments fail

The governance gap that kills most enterprise Copilot rollouts — and how to close it before launch.

FREE

The AI agent lifecycle explained

From ideation to decommission — a visual walkthrough of the 7 stages every enterprise agent should pass through.

FREE

Microsoft Copilot governance starter kit

A concise starting point for organisations shaping ownership, review, and control models for Copilot and agent adoption.

FREE

Executive reporting for AI agents

A simple structure for reporting agent inventory, risk, ownership, and review status to leadership in a useful, non-technical way.

— ABOUT

18 years in Microsoft ecosystems.
Now focused on governed AI.

I'm Athar Sheikh, based in Lausanne, Switzerland. My background spans 18 years across Microsoft ecosystems, digital workplace delivery, and enterprise transformation, with recent focus on AI governance, Copilot, and AI agents.

My work today sits at the intersection of enterprise AI governance and practical implementation: designing lifecycle, ownership, and risk models while staying hands-on enough to understand how agents behave in real environments.

I have worked across Switzerland, India, and the Gulf region, including Bahrain, which helps me connect Western enterprise governance expectations with GCC regulatory and transformation contexts.

📜
Anthropic AI Fluency Certified
Framework & Foundations · 2025
🎓
MCSE · Azure AI · PMI AI Certified
Microsoft & PMI · Multiple credentials
🎓
Microsoft ecosystem depth
18 years across M365, SharePoint, Power Platform, and Copilot
💻
AI Agents Governance Framework
Lifecycle, RACI, risk classification, and control model published on GitHub
18
Years enterprise
technology expertise
7+
AI certifications
across major platforms
14
Role RACI AI
governance framework
7
Stage AI agent
lifecycle model
Based in Lausanne, Switzerland.
This site is a personal profile and knowledge space, not a consultancy offering. It reflects my work, frameworks, and practical perspective on enterprise AI governance and Microsoft 365 Copilot.
Personal profile Employer neutral Microsoft 365 AI governance
— CONTACT

Connect or
follow my work.

If you work in enterprise AI, Microsoft 365, Copilot, or governance, feel free to connect. This site is primarily a professional profile and a place to share practical work.