AI, IT and change work
Built, taught,
and in use.
I get AI and new platforms into daily use: choosing the tool, building the training, and measuring whether people work differently afterward.
20+ years in learning and ITOne team from 11% to 60% weekly AI use in six months
Selected work
Six case studies, and what each can prove.
Learning and change I designed and led, then technology rollouts where training was part of the work.
Learning and change
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01
Compliance-First Learning Ecosystem
LMS selection and launch
Ten platforms evaluated, then zero findings at federal audit.
Open the engagement report: Compliance-First Learning Ecosystem
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02
From Pilot to Weekly Use
AI adoption
11% to 60% weekly AI use in six months, measured per person.
Open the course outline: From Pilot to Weekly Use
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03
The Change Crucible
Leadership simulation
A twenty-minute scenario: nine named faculty, no cost-free choices.
Play the scenario: The Change Crucible
Technology rollouts
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04
Cornerstone to Salesforce
Platform integration
Training status on the customer record, one login, in production.
Open the platform scorecard: Cornerstone to Salesforce
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05
Hospital Phone Program
Healthcare telephony
900 to 1,000 phones at eight sites, cut over on time, all verified.
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06
Microsoft 365 for Three Nonprofits
Workplace modernization
Three nonprofits, one account per person, trained and secured.
Try it yourself
Three things I built, ready to use in your browser.
Each opens in a sandboxed frame. No account, no tracking, and nothing you type leaves the page.
How an engagement runs
Every engagement moves through these five stages, in this order.
- AnalysisWho is learning, what is in their way, and what evidence says so. Before any solution is proposed.
- ProblemStated as an observable gap in performance, not a topic to cover. If training is not the answer, this is where it is said.
- DesignObjectives at a level that can be observed, the method chosen, and the decisions that followed from them. Built, not handed off.
- OutcomeWhat was delivered and what changed, with attribution stated honestly: what the work caused, and what it merely coincided with.
- EvaluationThe Kirkpatrick levels, each marked as measured, validated at acceptance, built in, or planned. A number without one of those labels is left out.


