Business Transformation with AI Agents Program: Increase Productivity & Revenue Through Innovation and Automation Part 2 - Advanced / Enterprise

This two-day enterprise track takes participants from understanding the enterprise realities of AI Agents (integration, governance, adoption, and vendor strategy) to producing an enterprise-ready deployment blueprint. Day 1 demystifies enterprise AI agent technology in plain English and focuses on change management, governance, and market strategy through interactive discussion and a full end-to-end example. Day 2 is a facilitated Deployment Blueprint Lab where teams define the target process, architecture and integration sketch, data and compliance checklist, ROI and risk pathway, operating model, and rollout plan - culminating in a pitch and peer feedback. The program is tailored for business professionals, innovation leaders, and digital transformation teams.

Day 1 : Enterprise AI Agent Strategy & Technology (Non-Tech) 

• Why enterprise AI agents are a strategic imperative 
• What powers enterprise AI agents (LLMs, tools, orchestration) - business view 
• Integration at scale: where agents plug into ERP/CRM/intranet and workflow layers 
• Interactive Q&A: "Ask the Architect" (plain-English tech clarifications) 
• Change management for AI agent adoption (readiness, reskilling, communication) 
• Governance that enables scale (ownership, ethics, regulation radar) 
• Winning in the market: choosing the right agent strategy (build/buy/co-develop) 
• Group exercise: build/buy/co-develop decision framework 
• Full example walkthrough: Procure-to-Pay Assistant Agent (integration, data, controls, rollout, ROI) 

Day 2 : Enterprise Deployment Blueprint Lab (Capstone) 

• Brain Design for Agentic AI Agents (Model and Techniques) 
• Workshop setup & team roles; business challenge selection (real or sample) 
• Design thinking - capabilities mapping (touchpoints & impact) 
• Architecture & integration sketch (systems, tools, orchestration)  
• Data & compliance checklist (data sources, access, privacy, audit) 
• Strategic blueprinting: pathway, ROI & risk 
• Rollout plan & operating model (roles, run-cost, maintenance) 
• Blueprint visualization & pitch preparation 
• Presentations & peer feedback; wrap-up, Q&A & commitment cards

• Understand what makes an AI Agent enterprise-grade and how enterprise agents create measurable business value 
• Explain the key enterprise AI agent building blocks at business level (LLMs, tools, orchestration, integrations) 
• Evaluate integration pathways and ask the right questions to align IT teams and vendors 
• Apply change management principles to drive adoption and workforce readiness 
• Apply governance, risk, and compliance principles that enable scale responsibly 
• Use a structured framework to decide build vs buy vs co-develop for enterprise agents 
• Produce an enterprise deployment blueprint (architecture, data/compliance, ROI/risk, rollout plan, operating model) 
• Communicate and pitch the blueprint with clear next steps for stakeholders

Blended: enterprise-focused lectures, plain-English technology walkthroughs, facilitated Q&A, group discussions and exercises (including build/buy/co-develop), and a hands-on capstone Deployment Blueprint Lab with team presentations and peer feedback.