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AI Agents · AI Governance · AI Academy

Building the
governed
AI enterprise.

Expanding my learnings to help you adopt AI responsibly — agents, governance and literacy from Lausanne, Switzerland.

View agent portfolio →
LAUSANNE, SWITZERLAND
"AI without governance is just automation waiting to fail."
AI Agents AI Governance Copilot Studio EU AI Act PDPL · NDMO Make.com ISO 42001
18
years enterprise expertise
1
live AI agent deployed
7+
AI certifications
— WHAT I DO

Three pillars.
One vision.

Sharing what I've learned about building, governing, and teaching AI — so you can adopt it with confidence.

01 —
🤖

AI Agents
Development

Production-ready AI agents built with Copilot Studio, MindStudio, and Make.com. From lead capture to multi-agent enterprise workflows — governance included by design.

Copilot Studio · MindStudio · Make.com · Claude
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02 —
⚖️

AI Governance
Consultancy

Framework design, risk classification, lifecycle governance, and RACI structure for organisations deploying AI agents at enterprise scale. GDPR, PDPL, NDMO aligned.

EU AI Act · PDPL · NDMO · ISO 42001
See framework →
03 —
🎓

AI Academy
& Literacy

Plain-language AI education for teams and leaders. Free guides, playbooks, and explainers on agentic AI — built from real enterprise experience and shared openly.

Free Guides · Playbooks · Open Learning
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— AGENT PORTFOLIO

Agents in the wild.

Every agent I build is a learning. Documented, classified, and shared — so the journey from idea to deployment is transparent.

AGENT — 001
Mentor Match
Lead capture and geo-routing to mentor knowledge bases · NZ & AU
MindStudio Claude Sonnet Make.com Google Sheets
Deterministic workflow agent · Phase 1 · Live · 0 lines of code
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
100%
Email capture rate
2
Mentor routes
0
Lines of code
AGENT — 002
In development
AGENT — 003
In development
— GOVERNANCE

Governance that
scales with AI.

A methodology built around the full agent lifecycle — from ideation to decommission. Risk-tiered, role-assigned, and operationally precise.

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
Regulatory Alignment
Practical mapping of AI agent deployments to EU AI Act, GDPR, Swiss FADP, Saudi PDPL, and NDMO requirements — without the legal jargon.
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 registry
Open Framework on GitHub
The full AI Agents Governance Framework is published openly — covering agent lifecycle, risk classification, data compliance, and operational standards.
Open sourceJanuary 2026
— AI ACADEMY

AI literacy,
without the jargon.

Free guides and playbooks on agentic AI — written in plain language, built from real enterprise experience, and shared openly.

FREE

What is an AI agent, really?

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

FREE

NDMO in plain English

A practical guide to AI governance requirements under SDAIA/NDMO — written for non-technical leaders navigating the framework.

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

AI Governance Starter Kit

A downloadable framework for any organisation beginning their AI governance journey — based on real enterprise methodology.

FREE

EU AI Act — what it means for your agents

A plain-language breakdown of how the EU AI Act applies to organisations deploying autonomous AI agents today.

— ABOUT

18 years of precision.
Now applied to AI.

I'm Athar Sheikh — an AI Agents and Governance specialist and enterprise Microsoft ecosystem expert based in Lausanne, Switzerland. Over 18 years I've built digital infrastructure across four continents, and the last several years applying that operational discipline to AI governance and agent development.

My work sits at the intersection of building and governing — I don't just design frameworks, I build the agents they govern. I bring precision to a space that desperately needs it.

My background spans Saudi Arabia, Bahrain, India, and Switzerland — which gives me a rare ability to navigate both Western enterprise AI frameworks and GCC regulatory environments like PDPL and NDMO.

📜
Anthropic AI Fluency Certified
Framework & Foundations · 2025
🎓
MCSE · Azure AI · PMI AI Certified
Microsoft & PMI · Multiple credentials
💻
AI Agents Governance Framework
Published openly on GitHub · January 2026
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.
Swiss-based means precision, neutrality, and GDPR/FADP alignment by default — a quality signal that resonates globally, especially across the GCC and Middle East.
Anthropic AI Fluency Azure AI Fundamentals MCSE M365 PMI AI
— CONTACT

Let's learn and
build together.

Curious about AI agents, governance frameworks, or how to get started with agentic AI? I'd love to hear what you're working on or thinking through.