A Comprehensive Journey to Building, Assessing, and Maintaining AI Agents for Enterprise Teams
Our structured workshop approach transforms your team from AI beginners to confident AI agent builders. Learn to build secure, explainable AI agents, assess agent readiness, and establish enterprise-grade agent maintenance practices.
Each workshop builds upon the previous, creating a comprehensive learning path that takes your team from foundational concepts to advanced AI agent implementation. Learn to build, assess agent readiness, and establish enterprise maintenance practices for production AI agents.
Start with the non-deterministic approach. Learn to embrace uncertainty and collaborate with AI agents as creative partners in building intelligent systems.
Build trust through transparency. Master techniques to make AI agent decisions understandable and accountable for enterprise deployment.
Understand the future of AI agents. Prepare for advanced autonomous agent systems with safety-first thinking.
Master leading AI platforms for building conversational agents. Learn to leverage generative AI effectively in agent workflows.
Craft effective AI agent interactions. Learn systematic approaches to getting consistent, high-quality results from your agents.
Store and retrieve AI agent knowledge. Master embedding-based search and similarity matching for agent memory.
Ground AI agents in your data. Build agent systems that combine retrieval with generation for accurate, context-aware agent responses.
Customize AI agents for your needs. Learn to adapt agent models to your specific domain and enterprise use cases.
Secure your AI agent systems. Protect agents against adversarial attacks, data poisoning, and model theft.
Build AI agents responsibly and compliantly. Ensure your agent products meet ethical standards and regulatory requirements.
From agent readiness assessment to delivery and maintenance, each phase builds your team's capability to build, deploy, and maintain secure, explainable AI agents in enterprise environments.
Individual AI agent readiness assessments identify each team member's starting point and create personalized learning roadmaps aligned with the 10-step workshop process. We assess your team's capability to build, deploy, and maintain AI agents in enterprise environments.
Progress through all 10 workshops in sequence. Each hands-on session builds practical AI agent development skills with real-world examples, ensuring your team masters agent building, assessment, and maintenance concepts before moving forward.
Apply all 10 workshop learnings to build your real AI agents. Developers and non-developers collaborate to deliver secure, explainable AI agents with proper documentation, compliance, and maintenance procedures established from day one.
Your team delivers production-ready AI agents that are secure (Workshop 9), explainable (Workshop 2), and ethically sound (Workshop 10). The enterprise maintains these agents through established monitoring, updating, and continuous improvement processes to ensure long-term reliability and performance.
A proven methodology that delivers results for enterprise teams building and maintaining AI agents.
Each step builds on the previous, ensuring a solid foundation in AI agent development before advancing to complex agent architectures.
Agent security and compliance are integrated from the start, ensuring your AI agents are protected against threats from day one.
Build AI agents that stakeholders can understand, trust, and confidently deploy with transparent decision-making processes.
Developers and non-developers work together building AI agents, bridging the gap between technical implementation and business needs.
Deliver production-ready AI agents with comprehensive enterprise maintenance processes including monitoring, updates, and continuous improvement for long-term reliability and performance.
We create a PoC proof of concept working agent for the enterprise. Participants leave with a functioning agent that demonstrates value in their specific environment.
Our workshop simulations leverage Human-in-the-Loop (HITL) methodology to enable self-learning, role discovery, and continuous agent evolution. Expert guidance at critical moments accelerates skill development while ensuring quality and safety.
Start with an agent readiness assessment to understand your team's current AI agent capabilities and build a customized workshop roadmap for building and maintaining production agents.