Developing the Agentic AI Capabilities to Win
Developing and Deploying AI Agent Solutions
Workshop
Build and deploy AI agents with a repeatable delivery approach
AI agents scale when teams follow consistent design practices, integrate tools and data safely, and deploy with clear quality gates. This workshop helps leaders define agent development standards.
Leave with a delivery blueprint—design standards, build-test approach, deployment pipeline, and scaling priorities.
The Challenge
Many organizations can build agent prototypes, but struggle to deliver reliable agents at enterprise scale.
- Design practices vary by team: Without standards, agent quality and user experience are inconsistent across solutions.
- Tool and data access introduces risk: Integrations can create security, privacy, and reliability issues if not designed deliberately.
- Deployment and iteration are slow: Teams lack repeatable pipelines and testing approaches to improve agents quickly and safely.
Without an end-to-end delivery approach, agents remain pilots—hard to trust, maintain, and scale.
Our Solution
We guide your team through a practical approach to develop and deploy agent solutions with consistent quality and enterprise readiness.
- Agent Design and Prompting Standards: Define design principles and reusable patterns that improve consistency, control, and user outcomes.
- Tool Integration and Data Access Patterns: Establish safe, reliable integration approaches and clarify how agents access tools and information.
- Iterative Development and Testing Model: Define a build-test-learn cycle with quality gates to improve reliability before broader rollout.
- Deployment Pipelines and Operational Readiness: Establish a deployment approach that supports repeatability, monitoring, and controlled releases.
- Performance and Scalability Optimization Plan: Identify the levers and priorities to optimize throughput, responsiveness, and sustained usage.
Area of Focus
- Understanding Agent Design and Prompting Best Practices
- Mastering Tool Integration and Data Access
- Adopting Iterative Development and Testing
- Implementing Deployment Pipelines and MLOps
- Optimizing for Performance and Scalability
Participants Will
- Align on agent design standards that improve consistency and user experience across teams.
- Define integration patterns for tools and data access that support reliability and governance needs.
- Establish an iterative development and testing approach with clear quality gates.
- Identify deployment pipeline requirements and operational readiness expectations.
- Leave with scaling priorities to improve performance and support broader adoption.
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.