AI Scale Programs

Move Beyond Prompting and Put AI Agents to Work

Once people use AI confidently, the next step is scale: agents that take on recurring work, workflows AI can carry from start to finish, and the managers and champions who keep adoption moving across every team.

Get in Touch

Scale the Capability and the Habit

Two ways to grow AI from individual wins into results that last across every team.

The Agent Path

Build agents in three phases, from Personal Agents to Workflow Automation to Advanced Agents.

See the Path

Gaining Traction

Equip managers to reinforce new habits and champions to spread what works across teams.

See the Path
Sound Familiar?

The Basics Are in Place and We Are Ready to Scale

“A Few People Do Most of the Work”

Power users race ahead while most licenses barely get touched.

“Our People Are Clamoring for Agents”

Demand is real. So is the need to build agents that work the right way.

“Our Agents Live in Separate Silos”

Individual agents save time, but the team workflow around them hasn’t changed.

“Training Went Well, Then Usage Dropped”

Without reinforcement, new habits fade within weeks.

The Agent Path

Move From Prompting to Agents That Improve Workflows

Build agents and automations at the scale you need, from personal AI agents that take on an individual’s recurring work to organization-wide rollouts led by IT. Each stage pairs tool training with a Learn+ human skill to develop the behavioral changes that determine long-term success.

Phase 1 Learn+·Apply

Personal Agents

Simple assistants for individuals.

People learn to turn their own recurring work into an AI assistant that follows a clear, documented process.

What They Do:
  • Map a recurring task step by step
  • Build and configure your agent
  • Test, refine and set review points
They Walk Away With:
  • A working personal agent
  • A documented process it follows
  • A habit of checking its output
Learn+Human Skill

+ Process Thinking

Streamlining recurring tasks and reducing manual effort through efficient personal agent builds.

Phase 2 Learn+·Apply

Workflow Automation

Delegate multi-step work to AI.

Teams map multi-step workflows: what AI handles, when people step in and what success looks like.

What They Do:
  • Split a workflow into AI-ready steps
  • Design AI-to-people handoffs
  • Set checkpoints and exception rules
They Walk Away With:
  • A workflow delegated to AI
  • Rules for handoffs and review
  • A clear measure of success
Learn+Human Skill

+ Managing Teams

Strategic delegation for humans vs. agents, and the talents leaders still need to get results.

Phase 3 Learn+·Apply

Advanced Agents

Automation for the organization.

Technical and process owners connect agents into larger systems and learn to improve how they behave.

What They Do:
  • Connect agents across a process
  • Diagnose unexpected behavior
  • Plan monitoring and ownership
They Walk Away With:
  • An agent-enabled process design
  • A troubleshooting method
  • An ownership and oversight plan
Learn+Human Skill

+ Root Cause Analysis

Mapping the key causes of systemic issues and prioritizing where to act first.

Gaining TractionFor Managers

Empower Your Managers to Champion AI Efforts

Leaders set the ambition and employees experiment. Managers turn both into everyday decisions about priorities, quality and risk, often without much preparation. You don’t need to be the AI expert on your team. You need a plan.

1.7×

more likely to use AI a few times a week or more

7.4×

more likely to say AI gives them more opportunities to do what they do best

8.7×

more likely to say AI has transformed how work gets done

Employees who strongly agree their manager actively supports their team’s AI use. Source: Gallup, Global Indicator: Artificial Intelligence, 2026

Meet Your AI Team

Four adoption behaviors and what each needs next. Your team isn’t starting from the same place, and the same advice won’t move everyone.

  • The Enthusiast“I made an agent for that.”
    Needs boundaries
  • The Skeptic“It gets things wrong.”
    Needs evidence
  • The Secret User“I got it done.”
    Needs permission to share
  • The Onlooker“Am I already behind?”
    Needs a place to start
Get the Archetype Guide
Included With Every Program

The Manager’s AI Playbook

Once you know where each person stands, the Playbook gives managers what to do next: three ready-to-use resources that keep momentum inside the meetings they already hold.

Download the Manager’s AI Playbook
The Manager’s AI Playbook cover and inside spread
Align

Team AI Working Agreement

One 30-minute meeting to make expectations explicit: where AI fits, where it doesn’t, and who reviews what.

Learn

Input & Output Quick Guide

The CLEAR brief for better prompts, plus six checks before anyone uses what comes back.

Apply

Manager Operating Rhythm

Four short rituals that turn skills into habits: weekly check-ins, 1:1 coaching, pilot reviews and share-backs.

AI Scale Planning Session

Ready to Scale What’s Working?

In 30 minutes, we’ll look at where your agents, workflows and adoption stand today, then recommend the next stage and the support your managers and champions need.