Annamaria Balazs
How people, organizations, and AI systems create impact in the agentic era.
I work with senior leaders on AI strategy, governance, and the organizational decisions that determine whether AI creates meaningful value.
The Argument
As AI makes intelligence and analysis increasingly abundant, human judgment becomes more important.
The advantage shifts from producing more answers to deciding what matters and what to act on.
What I Work On
Organizations can have strong criteria for evaluating AI investments and still fail to decide well because ownership is unclear, authority is fragmented, decisions are not revisited on a cadence, and stopping conditions are absent.
AI investment decisions operate at two distinct layers.
I developed this two-layer framework to explain why good AI investment analysis does not necessarily lead to good decisions.
My work spans both layers, with particular focus on designing the decision systems that turn investment judgment into decisions organizations can make, govern, revisit, change, and stop.
The Wider Territory
The broader questions I explore are:
AI Investment & Value Creation
How organizations decide where AI can create meaningful value and where it cannot.
Agentic Organizations
How governance, operating models, decision rights, accountability, and human-agent work change as AI becomes part of the organization.
Leadership & Strategy in the AI Era
How leaders make decisions, set direction, and exercise judgment when intelligence and analysis are increasingly abundant.
People & Talent in the Agentic Era
How human capability, careers, and professional value change as AI reshapes the nature of work.
About
I am an AI strategist with a Doctorate in Applied AI, a US patent, and a career spent across enterprise AI strategy, transformation, execution, and delivery.
I spent much of my career at IBM leading complex AI initiatives and teams for Fortune 100 organizations. Today, I am Senior Director of AI Strategy at Further.
My background spans AI strategy, enterprise transformation, governance, operating models, data science, and the practical realities of bringing AI into complex organizations.
I have spoken at Gartner, Forrester, ODSC, IBM Think, IBM TechXchange, and WiDS.
What Others Say
“Annamaria stands out for her ability to cut through AI hype and focus on what actually drives business value. She combines strong technical depth with a structured, pragmatic approach and is highly collaborative to work with. A clear choice for senior leaders looking for credible AI guidance.”
“Brought structure, high standards, and a supportive culture. She created an environment where our team felt valued, challenged, and empowered to grow. Under her leadership we consistently delivered at pace and to high quality.”
“She guided us to a highly successful year, driving digital transformation initiatives across all seven of our Enterprise clients with focus and clarity. Her ability to inspire, align, and deliver results makes her an exceptional leader that any organization would be fortunate to have.”
“It's been a true privilege working under Annamaria, whose leadership style sets a high bar for what great management looks like. As a cross-functional leader, she has an incredible ability to connect diverse teams — engineering, product, operations, and customer success — and align everyone toward a common vision with clarity and purpose.”
“She combined strong technical expertise with a thoughtful, people-first approach to management that made her both trusted and admired by everyone who worked with her. She instinctively understood the core of any technical or business problem presented and mentored the team through complex projects and difficult stakeholder discussions with clarity and composure.”
“Fantastic presenter, technically very sound in python and thorough over all solid data scientist. I endorse Annamaria.”
Selected Thinking
I write about AI investment and value creation, agentic organizations, leadership and strategy, and how AI is changing the role of people at work.
Featured insights
- 01Outcome-Driven vs. Hypothesis-Driven Strategy: The Wrong Fight?Why effective strategy needs both a clear outcome and explicit hypotheses about how to achieve it.Read
- 02The Cost of Confusing AI With ChatGPTHow a narrow definition of AI can distort enterprise strategy, governance, investment, and risk.Read
- 03What PE Operating Teams Are Learning About AI AdoptionWhat portfolio-level experience reveals about the organizational frictions that prevent AI adoption from translating into value.Read
Get in Touch
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