Operations value comes from better work design, not from adding a model to every task. Begin with process discovery, then improve intake, knowledge, coordination, and exception handling before expanding automation.

What You Will Be Able to Do

Guided Sequence

Discover the work

  1. Process Discovery Before AI Automation — A current-state process map with inputs, decisions, exceptions, owners, baseline metrics, and automation candidates.

Improve intake and coordination

  1. AI-Powered Email Sorting — An email-routing taxonomy with confidence thresholds and an escalation matrix.
  2. AI for Ticket Triage and Case Routing — A case-routing specification with labels, ownership, priority rules, thresholds, and review paths.
  3. Summarize Meetings with AI — A meeting-output schema for decisions, actions, owners, deadlines, and unresolved questions.
  4. Automate Reports with AI — A recurring-report specification with governed inputs, output schema, checks, and accountable sign-off.

Build repeatable knowledge and process

  1. Build an Internal Knowledge Assistant — A governed source inventory, access model, freshness policy, and retrieval test set.
  2. AI for Standard Operating Procedures — An SOP assistance design with source ownership, version controls, and exception handling.
  3. AI for Onboarding and Internal Training — A controlled onboarding workflow with approved sources, checks, escalation, and learning evidence.

Control exceptions and adoption

  1. AI for Exception Handling and Escalation Workflows — An exception taxonomy with escalation triggers, owners, service levels, and closure evidence.
  2. Adoption and Change Management for AI Workflows — An adoption plan with role changes, training, shadow-mode evidence, feedback channels, workload measures, and transition gates.

Lesson Library

Lesson Level Time Learner output
Process Discovery Before AI Automation Beginner 20 min A current-state process map with inputs, decisions, exceptions, owners, baseline metrics, and automation candidates.
AI-Powered Email Sorting Intermediate 15 min An email-routing taxonomy with confidence thresholds and an escalation matrix.
AI for Ticket Triage and Case Routing Intermediate 20 min A case-routing specification with labels, ownership, priority rules, thresholds, and review paths.
Summarize Meetings with AI Beginner 15 min A meeting-output schema for decisions, actions, owners, deadlines, and unresolved questions.
Automate Reports with AI Intermediate 15 min A recurring-report specification with governed inputs, output schema, checks, and accountable sign-off.
Build an Internal Knowledge Assistant Intermediate 15 min A governed source inventory, access model, freshness policy, and retrieval test set.
AI for Standard Operating Procedures Intermediate 15 min An SOP assistance design with source ownership, version controls, and exception handling.
AI for Onboarding and Internal Training Intermediate 15 min A controlled onboarding workflow with approved sources, checks, escalation, and learning evidence.
AI for Exception Handling and Escalation Workflows Intermediate 15 min An exception taxonomy with escalation triggers, owners, service levels, and closure evidence.
Adoption and Change Management for AI Workflows Intermediate 20 min An adoption plan with role changes, training, shadow-mode evidence, feedback channels, workload measures, and transition gates.

Completion Standard

A lesson is complete when the stated learner output has been produced, reviewed against representative evidence, and assigned an owner or next decision. Reading the page without producing the artifact is orientation, not completion.

Practice Case

Use the Harborline Services running case when you do not have safely redacted examples from your own organization.

Where to Go Next