Industry track

Deploy AI in operations without marginalizing your workforce.

For team leads, L&D, and operators applying generative AI to internal training, documentation, communications, and decision support — with humans aided, never replaced.

Module 1·20 min

Module 1 — Instructional & Administrative Content

Use HI-HO to draft onboarding, SOPs, and internal comms while keeping subject-matter experts accountable.

You'll be able to

• Source authoritative HI from SMEs, not from the AI
• Iterate drafts efficiently in the dash
• Codify HO sign-off before anything reaches employees

Scenario 1

Your team wants to ship an AI-drafted safety procedure to the floor on the same day it was generated. What does HI-HO require?

Module 2·25 min

Module 2 — AI-Assisted People Decisions

Apply HI-HO to hiring, performance, and customer-facing decisions where misuse marginalizes humans.

You'll be able to

• Recognize tasks where AI must aid, never decide
• Audit HI for bias-laden framing
• Design HO checkpoints that survive time pressure

Scenario 1

A manager wants the AI to rank job applicants. What's the most aligned use under HI-HO?

Module 3·20 min

Module 3 — Customer Communications & Support

Use HI-HO for service replies, escalation drafts, and outbound messaging so customers always reach an accountable human voice.

You'll be able to

• Encode brand voice, policy, and known facts into HI
• Use the dash to draft replies at speed, not to auto-send
• Apply HO before any message reaches a customer in distress

Scenario 1

A customer reports a billing error and threatens to cancel. An AI suggests a polished apology with a refund offer. What does HI-HO require?

Module 4·25 min

Module 4 — Strategy, Research & Analysis

Apply HI-HO to market scans, internal reports, and strategic memos so leadership decisions rest on verified, human-owned reasoning.

You'll be able to

• Provide HI that names sources, scope, and the actual decision at stake
• Use the dash to compare options, not to pick them
• Apply HO that separates AI-generated synthesis from human conclusions

Scenario 1

A VP wants an AI-written market brief to present to the board next morning. Which approach honors HI-HO?

Ready to apply HI-HO live?

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