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AI Productivity Training

Turn AI chaos intomeasurable productivity gains

Evidence → Insights → Enablement → Adoption

From evidence-based diagnosis to real adoption in 6-12 weeks. A structured process with human oversight at key gates.

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Transforming team productivity in leading organizations

Henry for Business - Dashboard showing AI productivity insights and opportunities

The Process

How it works

A structured 6-step process that transforms evidence into measurable adoption. Clear gates ensure quality at every stage.

1

Evidence

Gather real process data through interviews and documents
2

Insights

Discover AI productivity opportunities with confidence scores
3

Opportunities

Define outcome-first plans with clear enablement paths
4

Enablement

Deliver training, assets, and practices to your team
5

Adoption

Measure real impact and track adoption rates
6

Iteration

Start new areas with incorporated learnings

Case Study

Real example

See how we transformed a common problem into measurable results

Problem

"We spend 3 hours a day copying data from email to CRM"

The sales team dedicated significant time to repetitive manual tasks that could be automated.

"Every rep was doing the same thing manually. It was frustrating and error-prone."

Solution

AI-assisted intake + SOP

We implemented an AI-assisted system for data entry, along with a standard operating procedure (SOP) for the team.
  • Training on AI-assisted data entry
  • Custom SOP documentation
  • Weekly adoption check-ins
-40%
Reduction in time spent
70%
Team adopted the new method
6
Weeks to full adoption

Who Participates

Three key roles

A clear structure ensures accountability and smooth execution from evidence gathering to measured adoption

Sponsor

Leads the project, defines focus, approves opportunities and validates outcomes

Key responsibilities

  • Defines project objective and timebox
  • Selects processes in focus
  • Approves opportunities and audience
  • Validates adoption and outcomes

Evidence Participant

Provides information about real processes through interviews, workshops or documents

Key responsibilities

  • Participates in guided interviews
  • Shares documents and evidence
  • Validates detected insights
  • Sample of 3-8 key people

Training Participant

Receives enablement and applies AI productivity practices

Key responsibilities

  • Receives personalized training
  • Applies new practices
  • Provides adoption feedback
  • Larger audience than the sample

Ready to see real AI adoption
in your organization?

Start your first project and discover how structured enablement can transform your team's productivity in 6-12 weeks.

Get startedSee how it works