Microsoft MVP | Enterprise AI Architect
Architecting Enterprise AI Systems — Not Just Deploying Tools.
I design and govern secure, enterprise AI architectures across Microsoft 365 and Azure — aligning AI capability with risk, compliance, and measurable business outcomes. From agentic intelligence layers to Microsoft Copilot integrations and governance frameworks, my work delivers measurable business impact at enterprise scale.
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As a multi-year Microsoft MVP and enterprise AI strategist, I architect secure, grounded AI systems aligned to governance, compliance, and measurable business outcomes. My work bridges deep technical capability with executive-level advisory — ensuring intelligence systems are trusted, scalable, and commercially aligned.
I architect and deploy secure, enterprise-grade AI systems across Microsoft 365, Microsoft Copilot, and Azure AI platforms. Through expert consulting, tailored development, and practical training, I deliver impactful solutions that drive measurable results.
Evaluate your organisation's AI maturity, governance posture, and business use-case readiness with a practical adoption roadmap.
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Deliver structured Microsoft Copilot adoption with clear governance, use-case design, and measurable business value realisation.
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Build secure, enterprise Microsoft Copilots with orchestration, connectors, and workflow automation aligned to business operations.
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Design and implement agentic automation patterns, human-in-the-loop controls, and scalable AI workflows for enterprise teams.
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Create fit-for-purpose AI agents connected to your internal systems, knowledge sources, and compliance requirements.
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Modernise content and intranet architecture through structured SharePoint migrations with governance and discoverability in mind.
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Plan and deploy Teams with governance, lifecycle standards, and adoption strategy to support a modern digital workplace.
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Equip teams with practical prompting, governance awareness, and role-based Microsoft Copilot workflows that stick.
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Access ongoing fortnightly expert guidance for Microsoft Copilot, Microsoft Copilot Studio, and agent strategy to keep initiatives on track.
View RetainerEnterprise-grade AI systems designed to solve real business problems using secure, grounded, and scalable architectures.
Grounded Business Decision Assistant
An AI assistant designed to analyse structured enterprise data and provide contextual, territory-aware insights for operational and sales teams.
Architecture: Secure AI models + SQL data + semantic logic
Natural Language Governance Interaction
AI agents enabling staff to interact with policies and procedures using natural language while maintaining strict document grounding and access control.
Focus: Governance, compliance & knowledge access
Automated Governance Alignment
AI workflows designed to analyse regulatory updates and propose structured revisions to internal documentation.
Outcome: Reduced compliance risk & manual review effort
Data → Insight → Executive Narrative
Agentic systems that gather structured and unstructured data, synthesise insights, and generate executive-ready reports.
Use Case: Sales, compliance, operations & strategic reviews
Multi-Agent Strategic Simulation
A strategic advisory layer powered by multiple AI personas, designed to simulate board-level debate and decision modelling.
Concept: Agentic intelligence applied to leadership strategy
All AI systems are grounded against trusted enterprise data sources before intelligence layers are introduced.
Security trimming, compliance alignment, and risk mitigation are embedded into the architecture from day one.
Solutions are designed for organisational adoption, measurable ROI, and executive visibility.
Most AI initiatives focus on deployment. I focus on architecture — grounding intelligence in trusted data, embedding governance by design, and delivering measurable executive visibility.
AI systems are grounded against structured enterprise data sources before intelligence layers are introduced — reducing hallucination risk and ensuring trustworthy outputs.
Security trimming, compliance alignment, data residency, and risk controls are embedded into the architecture — not added after deployment.
Enterprise AI workflows include structured review, approval checkpoints, and executive oversight to maintain accountability and control.
Every solution is designed with metrics — tracking adoption, productivity impact, and business value realisation at scale.
Proud to have partnered with organisations across industries to deliver impactful AI, Microsoft Copilot, and Microsoft 365 solutions.
Enterprise SharePoint Transformations
Enterprise AI & Microsoft Copilot Programs Delivered
Microsoft MVP Awards Received
Organisations Advised Globally
The Microsoft Most Valuable Professional (MVP) award is granted to a small number of global technology leaders recognised for deep technical expertise, community leadership, and impact across the Microsoft ecosystem.
I am proud to have partnered with organisations across industries to deliver impactful AI, Microsoft Copilot, and Microsoft 365 solutions.
Enterprise AI is not about switching on tools. It is about designing secure, governed, and measurable intelligence systems aligned to executive strategy.
If you are exploring Microsoft Copilot, agentic AI, or enterprise AI governance, let's discuss how to structure it correctly — from architecture through to adoption.
Ready to architect secure, enterprise-grade AI within your organisation? Let's discuss how I can help you achieve your goals.