LearnAIR
D&H Next+ · GoBigAI Initiative · 2026LearnAIR
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The AI Literacy
Revenue Flywheel.

An interactive experience for D&H partners — plus a self-guided walkthrough that turns ChatGPT or Copilot into a digital colleague that helps you grow your business.

Cohort Application

Apply to be a Priority Partner

Join the inaugural LearnAIR × D&H cohort. Limited seats for resellers ready to launch new AI revenue streams immediately.

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LearnAIR Product Suite

Four ways to build AI fluency.

  • Executive Series™Lead the Transformation

    Equip leaders with frameworks to guide workforce transformation — aligning people, process, and technology with a responsible approach to AI adoption and future-of-work planning.

  • Connect Series™Enable the Workforce

    Move beyond awareness into application. Teams integrate AI into workflows, build role-specific digital employees, and create repeatable systems that improve productivity and collaboration.

  • Certified Trainer Program™Train the Trainer

    Equips partners to confidently teach LearnAIR's AI enablement methods — core curriculum, facilitation, exercises, and implementation strategies to deliver high-quality AI learning at scale.

  • Everboarding© HubContinuous Learning Destination

    Give your workforce, members, or clients a dedicated destination for continuous AI learning and workforce development — fully branded to your organization, powered by LearnAIR™.

Experience

Open the Presentation

View the latest LearnAIR × D&H deck.

Open the deck
Self-guided · ~10 min

Build Your Digital Counterpart

Answer 6 questions. Get a clean persona. Paste it into your ChatGPT Custom Instructions or Copilot Agent — and every future chat starts knowing who you are.

Open the walkthrough
Trusted by forward-thinking teams
Knowfully Learning Group
Fuel Safe
Boys & Girls Clubs
Les Schwab
Bend Redmond Habitat for Humanity
OMEP
Case Studies

Real results, across industries.

Synthesized from recent LearnAIR engagements. Final metrics & quotes pending permission pass.

Enterprise · Leadership Adoption
Les Schwab

Executive AI adoption inside a large, operationally complex company.

Les Schwab brought Gemini training to EVPs, VPs, directors, area and regional managers — building shared language, examples, and internal resources like AI Compass so leaders understand both individual productivity and team adoption.

Best-fit audience

Enterprise and mid-market leadership teams responsible for adoption, productivity, and workforce transformation.

LearnAIR approach
  • →Foundational prompting and tool confidence, layered with leadership-specific adoption implications.
  • →Anchored in Google Workspace / Gemini workflows: email, calendar, tasks, research, prioritization, meeting prep.
  • →Pushed leaders beyond one-off prompts into chained work across tools.
  • →Connected to internal knowledge-sharing so practices spread beyond the live cohort.
Outcome
  • ✓Leadership-level AI vocabulary and confidence across multiple cohorts.
  • ✓Immediate individual productivity use cases becoming team operating practices.
  • ✓A replicable executive adoption model for Google Workspace organizations.
Public Sector · Train-the-Trainer
OMEP

Scaling AI literacy through a partner-led train-the-trainer model.

OMEP needed a repeatable way to deliver introductory AI training across manufacturing clients without depending on one team per session. They moved from direct AI 101 delivery into a structured LearnAIR platform model.

Best-fit audience

Mid-market manufacturers, state economic development partners, and regional support organizations.

LearnAIR approach
  • →Positioned LearnAIR as curriculum, platform, and quality standard behind OMEP-led delivery.
  • →Trained OMEP facilitators on both content and behind-the-scenes delivery mechanics.
  • →Live practice and integration sessions to refine client-facing language for manufacturing.
  • →Supported a manufacturing landing page and one-page assets to convert interest into next steps.
Outcome
  • ✓A scalable partner-delivery model for introductory AI education.
  • ✓A stronger path from awareness to paid training adoption for manufacturers.
  • ✓A blueprint for state agencies supporting many orgs with limited staff capacity.
Hospitality · Agent Build
Bennington Properties

From AI training to a practical guest-service agent opportunity.

Bennington moved from foundational ChatGPT training into applied digital-employee and agent design — scoping an AI agent that helps staff use CRM and reservation data to deliver more personal service.

Best-fit audience

Small business service businesses with relationship-driven operations, repeat customers, and high-touch support teams.

LearnAIR approach
  • →Taught practical ChatGPT foundations including custom GPTs and digital employees.
  • →Integration sessions answered workflow questions and helped move from examples to job-specific use cases.
  • →Followed training with an agent scoping conversation distinguishing assistant from agent work.
  • →Defined the next opportunity around CRM/data access, guest recognition, and personalized service support.
Outcome
  • ✓Clear transition from education to an applied AI agent build.
  • ✓A concrete service-ops use case: CRM-backed customer context and personalization.
  • ✓A strong story for mid-market operators: literacy → operational workflow design.
Repeatable Model · Cross-Industry
The LearnAIR Method

A repeatable AI education path from literacy to applied workflow transformation.

Across recent transcripts, LearnAIR teaches AI as a work practice — not a software demo. Build confidence, show practical tool use, connect to real jobs, and help teams identify where AI should become an assistant, digital employee, or agent.

Best-fit audience

Mid-market organizations, public agencies, partner networks, and leadership teams that need practical AI adoption without hype.

LearnAIR approach
  • →Foundational literacy: what the tool is, how to prompt, give context, and verify outputs.
  • →Workplace examples: email, calendar, research, drafting, prioritization, documents, support, process analysis.
  • →The human operating model: accountability, verification, judgment, privacy, workflow change.
  • →Integration sessions convert training energy into specific workflows, agent scopes, and adoption practices.
Outcome
  • ✓A flexible education-to-implementation pathway for many industries.
  • ✓A library of practical AI use cases usable across the org.
  • ✓LearnAIR as trainer and adoption partner: education, workflow mapping, agent packaging.
Use Case Library

Plug-and-play AI plays for your team.

Extracted from the last 12 LearnAIR training cohorts — the patterns that show up everywhere.

Administrative prioritization

High

"I wish AI could sort my day and tell me what needs attention first."

Inputs · Email, calendar, tasks, deadlines, meeting list
Output · Prioritized task list, schedule plan, follow-up reminders
Roles · Managers, executives, operations

Meeting preparation

High

"I wish AI could brief me before meetings so I walk in prepared."

Inputs · Calendar event, attendees, prior notes, related emails/docs
Output · Meeting brief, questions, risks, talking points
Roles · Leaders, sales, customer-facing teams

Email drafting & triage

High

"I wish AI could help me respond faster without losing my voice."

Inputs · Inbox threads, policy/context, desired tone
Output · Draft replies, thread summaries, suggested next actions
Roles · Everyone with a heavy communication load

Document & policy summarization

High

"I wish AI could read the long doc and tell me what matters for my job."

Inputs · PDFs, policies, training material, contracts
Output · Plain-language summary, obligations, action checklist
Roles · Public agencies, HR, ops, compliance

Research & market scanning

Medium-high

"I wish AI could gather current info and organize it into a usable brief."

Inputs · Topic, audience, constraints, trusted sources
Output · Research brief, comparisons, source-linked notes
Roles · Marketing, strategy, econ-dev, leadership

Custom GPT / digital employee

High

"I wish AI could remember how our company works and help with repeat tasks."

Inputs · Company process, examples, templates, rules
Output · Reusable assistant for a job-specific workflow
Roles · Department leads, service teams, trainers

CRM / customer context support

High

"I wish AI could pull the right customer history so we can personalize service."

Inputs · CRM records, phone/address match, reservation notes
Output · Customer context summary, service prompts, next-best action
Roles · Hospitality, customer service, sales, account teams

Due diligence & process research

Medium-high

"I wish AI could do the step-by-step background work so I can focus on judgment."

Inputs · Checklist, source files, business rules, data
Output · Completed research packet, flagged gaps, verification steps
Roles · Finance, leadership, ops, vendor managers

Training facilitation support

High

"I wish AI could help trainers deliver the same standard every time."

Inputs · Curriculum, facilitation notes, exercises, brand standards
Output · Trainer guide, session checklist, Q&A support
Roles · Partner orgs, state agencies, internal trainers

Knowledge base search

High

"I wish AI could find the right internal answer without hunting through folders."

Inputs · Drive, intranet, docs, prior examples
Output · Answer with cited source, related docs, next steps
Roles · Mid-market teams with growing documentation

Workflow redesign

Medium-high

"I wish AI could show which parts of this process should change now that AI exists."

Inputs · Current workflow, roles, handoffs, tools, pain points
Output · Future-state workflow, automation candidates, human checkpoints
Roles · Leadership, ops, HR, transformation teams

Certificate / learning validation

Medium

"I wish AI could confirm people actually completed and understood the training."

Inputs · Attendance, exercises, quizzes, objectives
Output · Simple assessment, completion evidence, certificate readiness
Roles · Training teams, partner programs, HR / L&D
A few numbers we'll cover
74%
of professionals say AI is critically or very important to their success in the next 12 months
47% / 28%
of orgs still Piloting / still Understanding. Only 25% Scaling
13% / 32%
have all four governance foundations / have none. This is your services wedge

Don't Forget the Human Part.