AI change management
Connect capability changes to ownership, workflow, communication, adoption evidence, and rollback.
Explore the work →Profile · public leadership · operating record
Michael Hanna-Butros Meyering—also known online as Michael HBM—is a public-sector technology leader and AI change management practitioner. I work where privacy, responsible AI, technology policy, communications, enterprise systems, and organizational adoption meet. My focus is turning complex change into an operating model people can understand, use, and verify.

Michael's practice connects public-sector technology, privacy, responsible AI governance, and organizational adoption. He publishes that work through the source-backed AI Change Desk podcast and the reproducible 2026 Signal Report. Official Nevada ITAB records and Oregon's appointment notice document the operating record; In a profile published October 16, 2024, Marquis Emerging Leaders identifies Michael as a Marquis Emerging Leader in public service.
AI change management practitioner record
This is the public record behind the practitioner description: official AI-governance work, documented technology leadership, an independent change-leadership interview, reproducible original research, and an ongoing source-backed editorial practice.
Official public record
Approved Nevada ITAB records identify Michael as chair of the Emerging Technologies/AI Working Group and as the presenter of statewide AI policy and governance recommendations.
Official public record
Oregon's appointment record identifies Michael's current responsibilities across enterprise privacy, strategic communications, AI use-case review, and public trust, and separately documents his prior organizational-change and technology leadership experience.
Independent interview
A long-form independent interview examines Michael's technology leadership path and his practical approach to project ownership, communication, and team adoption.
First-party original research
The 2026 Signal Report analyzes 83 source-linked operating signals and publishes its methodology, dataset, citations, checksums, and update boundary for independent review.
First-party ongoing publication
AI Change Desk applies the operating framework to current AI capability, policy, identity, privacy, security, and adoption changes through source-backed episodes and final transcripts.
Leadership record
The through-line is operational: listen to the people doing the work, name accountability, build the system, communicate the change, and keep evidence attached to the outcome.
Enterprise privacy, strategic communications, public trust, and responsible AI review.
Publicly documented roleOpen public evidence ↗Statewide technology policy, communications, legislative support, public engagement, and responsible AI operations.
Publicly documented roleOpen public evidence ↗Department building, enterprise migrations, international growth, and onboarding systems for 700+ employees.
Third-party role record · selected outcomes self-reportedOpen public evidence ↗Enterprise support and adoption across 500+ applications serving more than 10,000 users.
Third-party role record · selected outcomes self-reportedOpen public evidence ↗Financial governance, administrative operations, controls, risk management, and strategy-linked reporting.
Third-party role record · selected outcomes self-reportedOpen public evidence ↗Learning design, accessibility, launches, facilitation, and practical technology adoption.
Third-party role record · selected outcomes self-reportedOpen public evidence ↗Visual leadership, team coaching, performance measurement, merchandising, and customer experience.
Third-party role record · selected outcomes self-reportedOpen public evidence ↗Operating lenses
These disciplines are strongest together. Governance without adoption stays on paper; adoption without boundaries becomes avoidable risk.
Connect capability changes to ownership, workflow, communication, adoption evidence, and rollback.
Explore the work →Turn principles into practical review questions across data, identity, purpose, retention, and accountability.
Explore the work →Translate policy and legislative movement into clear operating implications for leaders and delivery teams.
Explore the work →Build the intake, approvals, evidence, training, support, and service ownership that let change survive scale.
Explore the work →Make the reason, risk, decision, and next step understandable to the people responsible for action.
Explore the work →Use design, media, teaching, and prototyping to make complex systems visible and usable.
Explore the work →Public records and third-party profiles
In a profile published October 16, 2024, Marquis Emerging Leaders identifies Michael as a Marquis Emerging Leader in public service. Oregon's official appointment and independent StateScoop and Government Technology coverage separately document his current public-sector leadership. No age, award, or comparative ranking is claimed.
The complete index keeps those relationships separate and links every claim to its public source.
Education + foundation
A biochemistry education shaped the habit of testing systems and evidence. Marketing, teaching, retail leadership, creative work, and enterprise support shaped how I listen, explain, and design change for real people.
This page describes Michael's personal professional record and public work. Views expressed through MichaelHBM and AI Change Desk are personal and do not represent any employer or public body.