Executive Education

Change Management

A focused executive session on leading organizational change in the age of AI. Practical frameworks for the eight steps of transformation, drawn from real implementation experience.

Current Cohort

Rolling basis

Duration4 hours
FormatHybrid

Foundational
Outcomes

01

Transformation Framework

Apply the eight-step change model to AI adoption, tailored to your organizational context and maturity level.

02

Stakeholder Navigation

Build consensus across leadership, technical teams, and operational staff during rapid technology shifts.

03

Risk Mitigation

Identify and address the organizational, cultural, and technical risks inherent in AI deployment.

04

Sustainable Adoption

Design change initiatives that stick — moving beyond pilot enthusiasm to embedded organizational capability.

The Curriculum

Sequential Progression
01

The Eight Steps

Hour 1

The change management framework adapted for AI transformation. Establishing urgency, building coalitions, and crafting a vision that resonates beyond the technology team.

02

People and Resistance

Hour 2

Understanding fear, resistance, and opportunity in workforce transformation. Communication strategies that address real concerns without overpromising.

03

Implementation Playbook

Hour 3

From strategy to execution: pilot design, success metrics, scaling decisions, and the critical difference between adoption and integration.

04

Sustaining Change

Hour 4

Anchoring new behaviors in organizational culture. Building feedback loops, measuring long-term impact, and preparing for the next wave of disruption.

"Change management in the AI era is not about managing technology adoption. It is about managing the redefinition of human purpose within organizations."

Work with me

Advisory

I work with leadership teams to audit existing AI roadmaps and identify structural vulnerabilities in their data architecture.

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Workshops

Tailored intensives for engineering and product leads focusing on agentic systems and production-grade LLM implementation.

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Mikael Alemu Gorsky

Mikael Alemu is an educator and researcher, and the author of two programs: Agentic Software Engineering, on building software with AI agents, and Building AI-Native Agentic Systems, on building software that thinks.

He teaches at the Holon Institute of Technology, near Tel Aviv, where Agentic Software Engineering runs as a credit-bearing course. He is an educator and researcher.

Nine published works, 76 citations. A 350-page textbook under contract with a major academic publisher.

Teaching and programs

Agentic Software Engineering — program, preprint and textbook

The discipline of structured, auditable human-agent workflows for building software. The human frames, specifies and judges. The agent executes. Nineteen modules in four parts, built on a running project called Tribunal, a web application in which agents argue opposing sides of a case and a judge agent decides. Taught for credit at the Holon Institute of Technology.

Agentic Software Engineering curriculum

Building AI-Native Agentic Systems — program, paper and book in writing

How to build systems that hold a language model as a working component, and treat that component as what it is: stochastic, slow and metered. Fourteen modules in four parts, about seventy hours. The running project is the Observatory, a news agency that watches sources, selects what matters and publishes on a cadence.

Research and analytics

Publications — journals and proceedings

Nine works, 76 citations. Research on artificial intelligence in education, with Ilya Levin and Alexei Semenov.

The AI Pravda — LinkedIn newsletter

Critical analysis of artificial intelligence and its effect on work and society. 5,500+ subscribers. The complete archive of 103 issues (2023–2026) is published in full at mgorsky.net/theaipravda.

Subscribe to The AI Pravda on LinkedIn

Pro bono

AI for seniors — free workshop

Helping older adults use everyday AI tools. Delivered to Russian-speaking communities in Israel.

For older adults, artificial intelligence is about preserving quality of life, maintaining autonomy, and sustaining the feeling of independence that defines dignified aging. For seniors who have emigrated, AI becomes a bridge: it can translate documents, explain official letters, help compose emails in the local language, and guide users through government websites. The workshop has been delivered to Russian-speaking communities in Israel, where participants — many of them in their 70s and 80s — discovered that AI could help them read Hebrew documents and communicate with Israeli institutions.

Startup competitions — unpaid time

Judging and mentoring early-stage ventures. Helping teams clarify their value proposition, assess technical feasibility, and prepare for the realities of scaling an AI product.

AC/VC LinkedIn group — community

A group for developers and students working with coding agents. The community shares practical insights, code examples, tool comparisons, and honest assessments of what works in production.

Join the AC/VC LinkedIn group

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