Agentic Workflows: Design End-to-End AI Processes

Explore the five core components of agentic workflows: objective, inputs, steps, decisions, and outputs, and learn to design, document, and communicate end-to-end AI processes on a single page.

Explore the three types: human, agent, and system, and learn how to balance them for efficient, reliable, and safe agentic workflows with practical examples and color-coded design.

Compare single-agent and multi-agent workflows to balance simplicity, speed, and specialization. Learn when one agent suffices and how orchestration improves complex, high-value processes.

Identify candidate tasks for automation in real processes using the agent-candidate filter, and break tasks into 10–15 items to evaluate frequency, patterns, sources, and content handling.

Design end-to-end AI processes by breaking complex tasks into explicit, chainable subtasks with clear inputs and outputs, illustrated through a sales account research briefing.

Design end-to-end ai workflows by assigning subtasks between agents and humans using four criteria—risk, pattern, business impact, and empathy—to balance human in the loop and human in command.

Design an end-to-end agentic workflow for handling customer support from incoming email to CRM update, combining autonomous tasks with human oversight, decision points, and robust error handling.

Learn the plan-execute-verify pattern to structure agent tasks, reducing missed steps and inefficiency by planning first, executing methodically, and verifying results before delivery.

Audit and self-review let agents critique their outputs with a checklist before delivery, improving tone and accuracy. Implement this self-review step to reduce rework and boost quality with little time.

Apply the multi-view pattern to agent decision-making by analyzing a situation from multiple perspectives—sales, finance, and customer success—before synthesizing a robust recommendation.

Represent end-to-end ai workflows with simple diagrams that show plan, execute, verify, audit, and self-review as loops and multi-view branches for sales, finance, and legal perspectives.

Design end-to-end agentic workflows for customer support, from incoming ticket to proposed resolution, using a knowledge base, CRM, ticketing system, and human-in-the-loop approvals to ensure measurable quality.

Design a complete sales prospecting workflow that delivers comprehensive account research briefings within three minutes, updates the CRM, and enables personalization at scale through multi-source discovery and targeted talking points.

Design end-to-end ai processes for weekly operations reporting by collecting data from crm, erp, and project management, validating, and distributing automated executive summaries with audit trails.

Evaluate your designed workflow against clarity, control, value, and risk to ensure it is self-explanatory, controllable, valuable, and safe before implementation.

Simplify overly complex AI workflows without losing functionality by identifying warning signs—like long explanations, too many decision points—and applying techniques to merge steps, remove branches, and consolidate or split checkpoints.

Apply a seven-question checklist before implementation to ensure measurable objectives, defined approvals, failure handling, success metrics, clear explanations, audit trails, and a pilot plan for end-to-end ai processes.

Choose a process to automate by applying five criteria: frequency, familiarity, duration 30 minutes to three hours, clear success criteria, and moderate risk, then describe the current state.

Map your process into a structured one-page workflow using a template, rewrite the objective, and classify and route support tickets within two minutes with 95% accuracy.

Identify control points, escalation rules, human approval gates, and audit requirements, then define 4–5 success metrics to prove value of end-to-end ai workflows.

Present a two-slide, end-to-end agentic workflow pitch detailing the problem, solution, metrics, plus a visual workflow, controls, and a 30-day pilot with 10 tickets daily and clear success criteria.