AI Agents for Business Workflows

Course Introduction

Generative AI is evolving from tools that respond to individual requests into agents capable of working toward goals, completing multiple steps, using information and tools, and coordinating activities within defined boundaries. This creates opportunities to redesign recurring workflows, but not every task requires an agent, and greater autonomy also introduces new questions about instructions, decision authority, human intervention, exception handling, and performance.

Boost Consulting & Training offers this course to develop practical capability in identifying and designing business workflows suitable for AI agents. Participants learn how agents differ from assistants and conventional automation, how to define goals and operating boundaries, structure multi-step workflows, connect agents with knowledge and tools, establish human checkpoints, manage exceptions, test agent behavior, and evaluate operational performance. The program focuses on business workflow design rather than programming or platform-specific agent development.

The main concept of this course is to design AI agents that can execute defined business workflows with appropriate autonomy while keeping critical decisions, exceptions, and accountability under effective human oversight.

Course Objectives

Explain how AI agents differ from AI assistants and conventional workflow automation.

Identify business workflows that are suitable for agent-based execution.

Define clear goals, instructions, boundaries, and completion criteria for AI agents.

Structure business work into actions, decisions, information needs, and tool interactions.

Design appropriate human checkpoints and escalation points within agent workflows.

Anticipate and manage exceptions, failures, and unexpected agent behavior.

Test AI agent workflows before wider operational use.

Evaluate and improve agent performance using practical business measures.