AI-assisted process design
Design the workflow around the AI.
AI can summarize, classify, draft and route work. A dependable workflow also defines ownership, review, approvals, exceptions, records and recovery when the output is uncertain or wrong.
Provider-neutral education. No accounts, no uploads and no server-side workflow builder.
Build from the process outward
Choose the part of the workflow you need to understand.
The library separates process mapping, human review, exception handling, approvals, document work, department examples and monitoring so each page can answer a distinct design question.
Workflow Basics
Understand what AI workflows are, how they differ from one-off AI tasks, and which components make a process repeatable.
Explore section →02Workflow Mapping
Map triggers, inputs, outputs, handoffs, roles, review points and bottlenecks before adding AI.
Explore section →03Intake, Triage & Routing
Design how incoming work is received, classified, prioritized, routed and separated from noise.
Explore section →04Human Review & Oversight
Place human review where consequences, uncertainty and exceptions make judgment necessary.
Explore section →05Exceptions, Escalation & Recovery
Plan for unusual cases, degraded operation, emergency escalation and a controlled return to normal.
Explore section →06Approvals & Controls
Keep approval authority, segregation of duties, evidence and auditability visible around AI-assisted work.
Explore section →07Documents & Knowledge
Use AI to prepare summaries, triage documents and support knowledge work while preserving sources and review.
Explore section →08Department Workflows
Explore process patterns for support, finance, HR, operations, sales and marketing without turning examples into automatic decisions.
Explore section →09Small-Team Workflows
Design maintainable AI-assisted processes for solo operators, small businesses and overloaded teams.
Explore section →10Monitoring & Improvement
Measure workflow performance, manage versions, learn from feedback and know when redesign is better than patching.
Explore section →11Care & Safety Workflow Examples
Examine conservative workflow patterns for reminders, monitoring and escalation where human responsibility must remain clear.
Explore section →A useful boundary
Workflow design is not the same as deployment or technical integration.
This site focuses on how work moves: triggers, queues, reviews, approvals, escalations, records and improvement. Broader organizational rollout belongs to AI deployment planning. APIs, connectors, permissions, data systems and retrieval architecture belong to technical integration planning.
Read the editorial scope →Make the current process visible
Document what starts the work, what information enters, who owns each handoff and where work gets stuck.
Map an AI workflow →Put people where judgment matters
Use consequence, uncertainty, reversibility and exception status—not vague confidence alone—to determine review.
Place human review →Design the exception lane
Specify what happens when information is missing, the model is uncertain, a system is unavailable or the result falls outside policy.
Plan exception handling →