Developing the Agentic AI Capabilities to Win
Scaling and Operationalizing AI Agents
Workshop
Run AI agents like a product—reliable, scalable, and continuously improving
Agents only deliver sustained value when they’re operationalized with the right infrastructure, performance discipline, and enablement model. This workshop helps leaders plan how to scale agent solutions, optimize.
Leave with an operationalization blueprint—infrastructure priorities, performance plan, integration approach, and enablement model.
The Challenge
Many organizations can launch agents, but struggle to keep them reliable and valuable as usage grows.
- Scaling pressures expose fragility: Performance, reliability, and cost issues surface quickly without a scalable operating foundation.
- Integration becomes the bottleneck: Agents need access to systems and workflows, but enterprise integration is complex and slow.
- Improvement is uncoordinated: Without an operating rhythm, teams can’t systematically learn, fix issues, and raise quality.
Without operational discipline, agents degrade over time—reducing trust and limiting enterprise adoption.
Our Solution
We guide your team through a practical approach to scale and operationalize agents with a portfolio mindset and clear ownership.
- Scalable Infrastructure Blueprint: Define the infrastructure and platform capabilities needed to support growth, reliability, and controlled change.
- Performance Optimization Plan: Establish how to measure and improve responsiveness, throughput, and reliability as usage increases.
- Continuous Improvement Operating Rhythm: Design a review and improvement cadence to capture learnings, prioritize fixes, and track impact.
- Enterprise Ecosystem Integration Approach: Identify integration patterns and priorities to embed agents into real workflows and systems.
- Organizational Enablement Model: Define the enablement structure, roles, and support motions required to sustain agent capabilities enterprise-wide.
Area of Focus
- Architecting Infrastructure for Scalability
- Optimizing the Performance of Enterprise AI Agents
- Enabling Continuous Improvement Across Agentic AI Solutions
- Integrating Agents into Enterprise Ecosystems
- Optimizing Organizational Enablement for Enterprise Agentic AI Capabilities
Participants Will
- Define infrastructure priorities required to scale agent solutions reliably.
- Establish performance measures and optimization approaches to improve agent experience over time.
- Create an operating rhythm to drive continuous improvement across the agent portfolio.
- Identify integration priorities and patterns to embed agents into enterprise workflows.
- Leave with an enablement model and next steps to operationalize agents at enterprise scale.
Who Should Attend:
Solution Essentials
Format
Facilitated working session
Duration
8 hours
Skill Level
Intermediate to Advanced
Tools
Slides, workshop templates, key worksheets, checklists, and collaboration tools.