What changes after Teamland leaves the room

Name: Freeletics: single point of contact for virtual events
Rating: 5
Author: Yannick

We survey participants before we train and after we train. These are the numbers, the clients who let us name them, and what people said.

97% of 118 participants across five AI First^® engagements reported expecting to save at least one hour per week. 58% expected three or more hours.

AI FIRST^® · COMMVAULT

June 2026

88 people. One day. Two-thirds walked out expecting to save 3+ hours a week.

67% expect to save 3+ hours per week

97% expect to save at least 1 hour per week

88 participants surveyed before the session

A full-day AI First^® workshop delivered live in Prague by a three-facilitator team. After the session, participants reported what they realistically expect to save once they implement what they built, from Copilot agents to a Master Context File.

AI First^® across industries

Coushatta Casino Resort

REGIONAL HOSPITALITY & GAMING OPERATOR

A beginner cohort rated their prompting 3.8 out of 10. By day's end: 6.0.

Stats:

3.8 → 6.0 self-rated prompting ability out of 10, rated at the start and end of the same session (17 participants surveyed)
14 of 17 rated themselves higher after the session
100% expect to save at least 1 hour per week

Before the workshop, not one pre-survey respondent rated their applied AI use above beginner level. Participants rated their own prompting ability at the start and end of the same session, so this measures self-assessed change, and we report it as exactly that.

Cooperators Insurance

INSURANCE & FINANCIAL SERVICES CO-OPERATIVE

Before: 2 of 10 ready to lead AI adoption. After: 7 of 10.

Stats:

2 → 7 of 10 matched participants at "Champion" level or above on a four-level AI leadership ladder, before vs. after
0 participants rated themselves lower on any of three skill ladders
9 of 12 rated their understanding of data-safety guardrails 4 or 5 out of 5

Ten participants completed both the pre- and post-workshop survey under matched codes, the strictest comparison in our dataset. Gains are self-reported on four-level capability ladders covering fluency, applied use, and leadership readiness.

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Alfa Laval

GLOBAL INDUSTRIAL ENGINEERING

18 out of 18 would recommend it. Zero detractors.

Stats:

8.9 / 10 average likelihood to recommend (18 participants surveyed)
18 of 18 rated recommendation likelihood 7 or higher
94% expect to save at least 1 hour per week

A live AI First^® session for a commercial team, built around a prompting framework and each participant's Master Context File. Every stat above comes from the same-day post-workshop survey of all 18 respondents.

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AI adoption is a behavior-change problem before it is a technology problem.

Every Teamland program runs on the same CTS^® methodology, whether the room is learning to prompt or learning to present. The results below are from the other side of the house, measured the same way.

Communication & Team Development

Bial

Executive Communication

EUROPEAN PHARMACEUTICAL COMPANY

12 of 17 left with a structure they can apply to any talk.

Stats:

12 of 17 report having "a simple structure I can apply to any talk"
11 of 17 report feeling more confident in how they deliver
10 of 17 would recommend the session to others

A two-part public speaking and storytelling program for a pharmaceutical team. In post-session open text, all 17 respondents independently named a specific framework as the technique they will use immediately.

Methodology

Every Teamland program runs on CTS^®, our methodology for making change stick after the facilitators leave. We trademarked AI First^® in 2017, before ChatGPT existed.

Learn how CTS^® works >

AI adoption is a behavior-change problem before it is a technology problem. Every Teamland program runs on the same CTS^® methodology, whether the room is learning to prompt or learning to present. The results below are from the other side of the house, measured the same way.