(May 27th) Workshop: Integrating AI into Business & System Processes

Most organizations are talking about AI, and many are starting to integrate it into end-to-end business processes without breaking something. This workshop cuts through the noise. Participants work through a full enterprise process and decide where AI belongs, where it doesn’t, and what kind of AI is viable.

You’ll use a realistic case study to map the workflow, identify decision points, and classify candidate tasks using deterministic logic, probabilistic models, and agent-based orchestration. Small-group breakout work forces the real conversations: feasibility, failure modes, data gaps, and where human oversight must stay in the loop. You’ll also see how analysis can drive good AI decisions and keep an organization from fixating on shiny tools and instead solve real problems and opportunities.

The session ends with each group producing a simple, defensible AI integration blueprint for the case process. No jargon. No vendor pitches. Just clear reasoning and practical application.

Learning Objectives

By the end of the workshop, participants will be able to:

1. Decompose an enterprise-level process into an AI-driven solution plan – Identify which steps are viable candidates for deterministic automation, probabilistic AI models, or agent-based orchestration.

2. Evaluate AI suitability, uncertainty tolerance, and required human intervention; without defaulting to tool-first thinking.

3. Facilitate cross-functional analysis using structured techniques that surface assumptions, challenge unrealistic expectations, and drive teams toward a realistic and practical AI integration plan.

Date: May 27th, 2026

Location: On-line