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The best framework for agentic transformation might come from a middle school, not a tech conference.

Published 2025-10-03 · Mike Kennedy

Agentic EnterpriseStrategyAgentforce & SalesforceMulti-Agent OrchestrationData FoundationChange Management & CultureSecurity & GuardrailsLeadership

I recently came across The Forest School's approach to self-directed learning, and I can't stop thinking about how directly it maps to what I'm seeing with organizations adopting Agentforce.

Their framework has four stages: Desire, Resourcefulness, Initiative, and Persistence. And honestly? It's the most accurate description I've found for how teams actually move through agentic transformation—not how we think they should.

Stage 1: Desire → Sparking Curiosity Over Compliance

This is where it all begins—not with a mandate from leadership, but with genuine questions. "Could an agent really qualify leads while I sleep?" "What if we could respond to every customer inquiry in under 60 seconds?"

The Forest School teaches us that desire grows when learners see connections between their lived experience and what's possible. In enterprise terms: don't lead with features, lead with pain points. Show the sales rep drowning in follow-ups how Agentforce can handle the routine so they can focus on the complex. Show the service manager facing 3-day response times how agents can triage 24/7.

When people ask "what if?" instead of "do I have to?"—that's when transformation becomes real.

Why most initiatives stall here: We skip the curiosity phase entirely and jump straight to implementation timelines.

Stage 2: Resourcefulness → Building the Support Infrastructure

Once desire is sparked, people start looking around: "What resources exist to help me actually do this?"

This stage isn't about figuring it out alone—it's about knowing where to find help. Teams at this stage are joining Trailhead modules, asking questions in the community, experimenting with prompt engineering, reaching out to colleagues who've built agents, even using AI assistants to learn about AI.

The Forest School emphasizes that resourcefulness flourishes when the right support exists. For agentic transformation, that means robust documentation, accessible experts, safe sandbox environments, and a culture that celebrates learning over knowing.

One customer told me: "I was scared to admit I didn't understand how agents made decisions. But once I realized I could ask for help—and that everyone was learning together—I became obsessed with understanding it."

The mistake organizations make: Assuming "self-directed" means "unsupported." It doesn't. It means knowing how to find and leverage resources.

Stage 3: Initiative → Ownership Unlocks Momentum

This is where the magic happens. Teams stop waiting for permission and start setting their own goals. They identify obstacles—"our data isn't unified," "we need better handoff protocols"—and devise concrete plans to solve them.

Initiative looks like: A service team piloting an agent for password resets without being asked. A sales team mapping out which leads should go to agents versus humans. A marketing team testing agent-driven personalization on a small segment before scaling.

The Forest School found that when students own their goals, "they always know they can do them." Same with enterprises. When a team decides they're going to prove agents can reduce case volume by 30%, they find a way. When it's mandated from above, they find excuses.

I've watched teams go from skeptical to shipping a production agent in weeks—not because the technology got easier, but because they took ownership.

The breakthrough insight: Initiative can't be assigned. It can only be enabled through trust and autonomy.

Stage 4: Persistence → Empowerment That Becomes Unstoppable

This is the destination. Teams at this stage don't need anyone to champion AI anymore—they're innovating on their own. They've built a "tool belt" of skills that's now part of how they work.

These are the teams building their fourth and fifth agent workflows, the ones discovering use cases we never imagined, the ones teaching other teams. They're not using Agentforce because it's a corporate initiative—they're using it because they can't imagine working without it.

One leader described it perfectly: "I feel so set up for the future. These aren't skills I'll forget—they're something I use daily. I can't go back to the old way of working."

At this stage, persistence isn't about grinding through resistance. It's about momentum that feeds itself.

The reality: Not every team reaches Stage 4 at the same pace—and that's okay. The goal is movement, not uniformity.

What The Forest School Teaches Us About Enterprise Transformation

Here's the profound truth: Agency isn't optional anymore.

Traditional change management was built on compliance—tell people what to do, train them once, measure adoption. But in a world where AI capabilities evolve monthly, compliance-driven approaches create dependency, not capability.

Self-directed transformation creates something different: teams that don't just adopt technology, but continually adapt to it.

The organizations winning with Agentforce aren't the ones with the best initial deployment plan. They're the ones creating conditions where people want to explore, experiment, and evolve.

You can't mandate self-direction. You can only spark desire, provide resources, enable initiative, and celebrate persistence.

In a world changing faster than any training can measure, that might be the only sustainable strategy.

Read more about The Forest School's framework here: https://standtogether.org/stories/education/stages-of-self-directed-learning

Where is your organization in this journey? And more importantly—are you creating the conditions for people to want to move forward?

#Agentforce #ChangeManagement #AITransformation #SelfDirectedLearning #Leadership