Designing and Governing AI Agentic Orchestration

Overview

Agentic AI represents a fundamental transformation in how enterprises operate - comparable to the cloud computing revolution. This executive session delivers the strategic architecture and risk frameworks C-suite leaders need to deploy multi-agent AI systems safely, cost-effectively, and at scale. You'll gain board-ready governance models, security architectures, and deployment strategies that transform AI from experimentation to competitive advantage. Leave with clear decision frameworks, ROI models, and actionable roadmaps for the next 24-36 months.

5 Key Coverage Areas

1. Strategic Architecture & Multi-LLM Orchestration – Understand composable agent architectures, deployment patterns (cloud/hybrid/on-prem), and why multi-provider strategies are essential for cost optimization and vendor independence

2. Zero Trust Security for AI – Implement AI-specific security controls using STRIDE threat modeling, prompt injection protection, identity management, and audit frameworks that extend beyond traditional cybersecurity

3. Privacy & PII Governance – Deploy comprehensive data protection strategies including PII detection, encryption, anonymization, regulatory compliance (GDPR, CCPA, HIPAA), and cross-border data sovereignty

4. Cost Management & ROI Framework – Master intelligent model routing, semantic caching, and optimization strategies that reduce LLM costs by 40-70% while achieving 3-year ROI projections of $5M-$20M

5. Enterprise Integration & Deployment Strategy – Navigate API integration challenges, legacy system constraints, and develop phased deployment roadmaps from pilot (100 users) to production scale (500+ users)

David Gloyn-Cox is a TOGAF Certified Enterprise Architect, currently working at Bosa Properties as a Solution Architect, With over 25 years of experience helping organizations navigate complex technology transformations. He specializes in AI governance frameworks, enterprise architecture, and data strategy implementation, having developed comprehensive governance models for responsible AI adoption that address data privacy, model integrity, and ethical deployment. David's practical experience spans establishing enterprise architecture practices, leading SOC2 compliance initiatives, and designing large-scale data platforms across diverse industries including technology, utilities, transportation, and real estate. Through his consulting practice Adscens.io, he has guided multiple organizations in a variety of solutions and guidance initiatives.

A recognized thought leader in AI governance and data management, David serves as Board Member of DAMA Vancouver and has delivered keynotes at Google Dev Fest 2024, Panels at Big Data & Analytics West 2025. He holds TOGAF Enterprise Architecture certification along with AWS Technical Accreditation and Databricks AI Governance credentials. His unique perspective combines deep technical expertise with executive-level strategic thinking, making him ideally positioned to guide CxOs through the practical challenges of preparing their enterprises for agentic AI.