AI Enablement and Adoption Case Study | Evangelia Leclaire
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An AI Enablement and Adoption Case Study

How a Skilled-Trades Company Reached 100% Leadership AI Adoption, and 90% Company-Wide in One Quarter

100% leadership adoption 90% company-wide 2 executives, 3 senior leaders

For mid-size companies who have invested in AI tools that get underutilized.

Challenge

Most companies deploy AI and watch it get ignored. The deeper risk here was key-person risk: the judgment the business ran on lived in a few leaders, including the founder. Tools handed out without reinforcement do not change that.

Outcome

Adoption became a coached, measured rhythm instead of a hope. All two executives and three senior leaders adopted the leadership system. An AI platform surfaced in strategy reached 90% of the company. Leaders began bringing real situations, teaching each other, and pulling adoption forward without a mandate. Enablement now spans every layer of the business.

🔒 Confidentiality. Company name, personnel names, industry specifics, and internal data changed or omitted with client approval. Standard practice on every engagement.
IndustrySkilled-Trades Service Business
TimelineEmbedded over one quarter, ongoing
ScopeLeadership adoption, expanding org-wide
MethodWeekly labs, champions, CEO advisory
The Results, Confirmed

Adoption you can count.

100%
Adoption across the two executives and three senior leaders
90%
Company-wide adoption of an AI platform surfaced in strategy
7
Senior leaders in the leadership cohort
Weekly
Integration labs as the standing adoption rhythm
3
Layers of the business now AI-enabled

Tools do not change a company. Habits do. The work was building the habit, not handing out the tool.

The moment it landed I run my real scenarios through it, and it surfaces the same things my paid coach does. I would reach for this first.

The leader with the highest bar ran one real situation through the system and changed his mind in a single session, going from cautious to telling peers this was now part of how they lead. Adoption is not won in a launch email. It is won one real moment at a time. Senior Operations Leader.

Adoption and Impact

Before and After

MetricBeforeAfter
How the tools were usedAvailable, but not yet habitualRun against real situations in a weekly rhythm
Leadership adoption, five leadersNone using it100%, all five
Company-wide AI platform adoptionNot in use90%, surfaced in strategy, then implemented
Rollout approachEverything at onceOne Skill mastered, then the next
Who carried adoptionThe founder, pushingLeaders teaching leaders, early champions
Layers AI-enabledLeadership only, aspirationalAll three layers of the business
How It Started

Go Slow to Go Fast

The honest risk, named by the CEO herself, was that any new rollout of AI and automations can move faster than the team could absorb. So, the plan included prioritizing high-value use cases with the least amount of risk and ease of adoption. A few AI tools at a time, with a weekly forum where adoption could be coached, measured, and addressed in the open.

A new system can fail two ways. It can be wrong, or it can be right and never adopted. The systems were sound. The danger was treating a handoff like the finish line, especially when the judgment the business ran on still sat with a few key people. So the plan changed from launching everything to embedding one thing at a time, with a weekly forum where adoption could be coached, measured, and corrected in the open.

"We go slow to go fast. Get it ingrained first."Company Founder
The Method

Adoption Was Designed

1

A weekly listen and learning lab

A standing forum where leaders bring a real, current situation, run it through the system live, and report what worked, what felt clunky, and what they would change. Every session sharpens both the systems and the team's fluency.

2

A phased rollout

One system adopted, then the next, so leaders built mastery instead of drowning. Confidence in the first tool earned the right to introduce the second.

3

Accountability at the top

The CEO advisory retainer held the standard at the top of the org. Clean energy cascades down, so adoption had to start with the founder modeling it, not mandating it.

4

Champions over mandates

As leaders found wins, they began teaching each other inside the labs. That peer momentum, not a directive, is what turns a tool into a habit. Skills handed out alone tend to stall near 15 percent adoption. With a champion-led program, that figure moves toward 80 percent.

5

Measure and iterate

Each session captured what worked, what felt clunky, and what to change next. The forum was both the delivery mechanism and the feedback loop. Adoption improved because it was measured, not assumed.

Why a lab, not a class

You cannot train a habit in a single session.

A class transfers information. A weekly lab builds behavior, because the work is applied, repeated, and witnessed by peers. Real situations, real outputs, real feedback, every week. That cycle is what moves a tool from "I was shown it once" to "this is how I lead now." And it happens inside the company's own approved tools, so people experiment safely, feel supported rather than overwhelmed, and leave each session more confident than they came in.

Breakthrough Use Cases

The numbers tell one story. The use cases tell another.

Abstracted to protect the people involved.

Handed a toolbecomesTeaching the tool

A leader who adopted early walked peers through their situations. The first champion emerged without being appointed.

A strategy sessionbecomesA company-wide platform

Surfaced in CEO strategy sessions. Presented to the COO, implemented, and adopted by 90 percent of the company.

HypotheticalbecomesA live situation, solved

Leaders brought real, current situations. Ran them in the session. Left with a next step.

Pushed by the founderbecomesPulled by the team

The CEO stopped chasing adoption. Leaders started pulling each other forward.

The People Who Changed

AI adoption is a people story before it is a technology story.

The First Champion
Before

The newest leader on the senior team, handed a set of tools like everyone else.

After

The most consistent adopter, who started bringing real cases to the labs and walking peers through theirs. He described the system as something that holds him accountable while teaching him to coach others.

The Leader With the Highest Bar
Before

An experienced operator who expected anything new to earn its place before he would back it.

After

After one real scenario, he became one of the strongest voices for using it, telling peers this was now part of how they lead.

Metrics, KPIs, and ROI

What is confirmed. What is compounding.

Confirmed now

  • 100% adoption across the two executives and three senior leaders.
  • 90% company-wide adoption of an AI platform surfaced in CEO strategy sessions.
  • A weekly listen and learning lab established as the standing adoption rhythm.
  • A phased, sequenced rollout rather than an all-at-once launch.
  • Leaders teaching one another, the first sign of internal champions.

Compounding from here

  • Champions multiply as early adopters begin coaching others.
  • Usage deepens, from selecting a Skill to chaining several in one situation.
  • Key-person risk keeps dropping as habits replace heroics.
  • Each layer that adopts makes the next one easier.

The enablement picture, attributed honestly

This engagement drove adoption of the leadership layer. It sits inside a broader move toward AI enablement across the business.

1
Leadership layer, executive and management.

Built and adopted in this engagement. 100% of the two executives and three senior leaders.

2
Company Layer.

An AI platform surfaced in strategy sessions with the CEO, then presented to the COO, implemented, and adopted by 90% of the company. The platform itself is third-party.

We built the leadership layer and surfaced the platform behind the company layer. We did not build that platform. We found it, recommended it, and the company ran with it. We show the full picture, and draw the line clearly, because integrity is the product.

Qualitative impact

  • The leader with the highest bar changed his mind entirely after one real session.
  • Leaders began teaching each other without being asked.
  • The executive moved from pushing adoption to watching it pull itself forward.
  • A platform found in strategy, not procurement, reached 90 percent of the company.
The Critical Insights

Why adoption worked

For reasons that have little to do with the technology.

1
Adoption was designed, not assumed.

The weekly lab was the product, as much as the systems were. Most rollouts end at the handoff. This one started there.

2
Phased beat firehosed.

One tool mastered before the next. Confidence compounds. Overwhelm kills adoption faster than any missing feature.

3
Strategy found the tool, not just the leaders.

The platform that reached 90% of the company surfaced inside strategy work, not a procurement process. Advisory at the top changes what gets adopted at the bottom.

4
Accountability started at the top.

The founder modeled it before she expected it. Clean energy cascades down. It does not climb.

5
Champions outpace mandates.

Leaders teaching leaders moves adoption further than any directive. Skills alone tend to stall near 15 percent. With champions, the figure moves toward 80 percent.

"Tools do not change a company. Habits do."The standard we hold
Work With Evangelia

Most AI fails at adoption, not deployment. That is the part we engineer.

Every engagement starts with a structured diagnostic. We map how your business makes decisions, find where judgment and knowledge live in a few key people, and build the adoption rhythm that turns tools into habits. No tools recommended before the work is understood. When the right fix is a process change rather than AI, we say so.

Talk to Evangelia

Results inside a single quarter. The system owned by your team at handoff. Confidentiality guaranteed.

What Comes Next

From "will they use it?" to "how far can we scale it?"

Where the team is now

The leadership tools are in a weekly rhythm, all five leaders are using them, an AI platform reached 90% of the company, and the question has moved from adoption to scale.

The goal

Internal champions own the rhythm, enablement reaches every layer, and the standard runs without anyone pushing it.

Part of the same engagement. See what was built in the Leadership Operating System case study.

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