Building an AI agent that impresses as a demo has never been easier. Building one that is secure, governable, cost-effective, and capable of delivering consistent business value in production is a very different challenge. In this first episode in our Path to Production for Agents master class series, Adelina Balasa, AI Global Strategy Lead at Microsoft, shares a practical framework developed from working with hundreds of customers and partners, helping organizations navigate the journey from AI experimentation to enterprise-scale deployment. Rather than focusing solely on models, the series explores the architectural, operational, security, and organizational foundations required to successfully move agents from concept to production and beyond.
The Path to Production for Agents series is built around six essential pillars that help organizations overcome the most common barriers to production success: AI Center of Excellence, AI Governance, AI Landing Zones, AI Security & Trust, Agent Ops, and Solution Optimization. Together, these pillars provide a roadmap for establishing the right people, processes, platforms, and practices to deploy and scale AI responsibly and efficiently. Each episode dives deeper into one of these pillars, offering practical guidance and actionable steps that teams can apply immediately.
What You'll Learn in this Episode
- Why so many AI projects succeed as demos but struggle to make the leap into production.
- The common challenges organizations encounter when moving agents from experimentation to deployment and scale.
- Why production readiness is typically an architectural and organizational challenge, not simply a model selection problem.
- An introduction to the six pillars of the Adelina Balasa Path to Production framework and how they work together to accelerate AI transformation.
- How an AI Center of Excellence helps align people, processes, and best practices for successful AI adoption.
- The role of AI Governance, AI Landing Zones, and AI Security & Trust in creating a secure and scalable foundation for AI.
- How Agent Ops and Solution Optimization help improve deployment speed, operational reliability, performance, and cost efficiency.
- How to use the Path to Production framework as a practical roadmap for taking AI agents from ideation to real-world business impact.
Connect
- Adelina Balasa https://www.linkedin.com/in/adelina-balasa-b2006a67/
Related episodes
- Watch the entire Path to Production series https://aka.ms/PathToProductionForAgents
Chapters
00:00 Introduction
00:56 Demo to Production
02:50 AI Journey
03:11 Production Gap
03:37 Framework Overview
04:29 AI CoE
13:39 Governance
23:16 AI Landing Zones
32:00 AU Security and Trust
38:39 AgentOps
45:42 Solution Optimization
53:33 Pulling it all together
54:37 Agent Architectures
1:00:00 Remember these three things
The Path to Production for Agents series is built around six essential pillars that help organizations overcome the most common barriers to production success: AI Center of Excellence, AI Governance, AI Landing Zones, AI Security & Trust, Agent Ops, and Solution Optimization. Together, these pillars provide a roadmap for establishing the right people, processes, platforms, and practices to deploy and scale AI responsibly and efficiently. Each episode dives deeper into one of these pillars, offering practical guidance and actionable steps that teams can apply immediately.
What You'll Learn in this Episode
- Why so many AI projects succeed as demos but struggle to make the leap into production.
- The common challenges organizations encounter when moving agents from experimentation to deployment and scale.
- Why production readiness is typically an architectural and organizational challenge, not simply a model selection problem.
- An introduction to the six pillars of the Adelina Balasa Path to Production framework and how they work together to accelerate AI transformation.
- How an AI Center of Excellence helps align people, processes, and best practices for successful AI adoption.
- The role of AI Governance, AI Landing Zones, and AI Security & Trust in creating a secure and scalable foundation for AI.
- How Agent Ops and Solution Optimization help improve deployment speed, operational reliability, performance, and cost efficiency.
- How to use the Path to Production framework as a practical roadmap for taking AI agents from ideation to real-world business impact.
Connect
- Adelina Balasa https://www.linkedin.com/in/adelina-balasa-b2006a67/
Related episodes
- Watch the entire Path to Production series https://aka.ms/PathToProductionForAgents
Chapters
00:00 Introduction
00:56 Demo to Production
02:50 AI Journey
03:11 Production Gap
03:37 Framework Overview
04:29 AI CoE
13:39 Governance
23:16 AI Landing Zones
32:00 AU Security and Trust
38:39 AgentOps
45:42 Solution Optimization
53:33 Pulling it all together
54:37 Agent Architectures
1:00:00 Remember these three things