What should AI do?
Where can AI meaningfully augment or automate work?
Executive advisor · Educator · Responsible AI
Helping organizations determine what AI should do, what humans must remain accountable for, and how leaders manage risk, trust, culture and competitive advantage.
The leadership challenge
Where can AI meaningfully augment or automate work?
Where are judgment, accountability, creativity, relationships and contextual understanding essential?
How should organizations govern AI-assisted decisions, risk and consequences?
How can organizations build trust, improve decision quality and innovate responsibly?
Advisory areas
Strategic counsel for organizations moving from experimentation to responsible, enterprise-wide adoption.
Determine where AI creates meaningful value, where automation is appropriate, and where human judgment must remain central.
Clarify responsibility, oversight and accountability around AI-assisted decisions.
Manage the human and organizational consequences of AI transformation.
Decision framework
A disciplined path from the real organizational challenge to a clear, accountable course of action.
Identify the business challenge, stakeholders, assumptions, incentives and organizational dynamics before deciding how AI should be used.
Assess where AI creates value, where human judgment remains necessary, potential risks and stakeholder impacts.
Establish decision rights, safeguards, accountability, implementation priorities and measures of success.
Evaluation lens
Examine the system and its implications before deciding what leadership should do next.
How does the system work?
Data · Models · Algorithms · Incentives · Workflows
Who decides, and who remains accountable?
Authority · Oversight · Judgment · Ownership
What happens because the system exists?
People · Trust · Culture · Performance · Society
Architecture · Responsibility · Consequence helps leaders examine the AI system and its implications.
×Frame · Evaluate · Define guides the leadership decision about what to do next.
Human accountability
As AI increasingly recommends, predicts, generates and decides, one of the most important leadership questions is not simply what machines can do.
It is what humans remain responsible for.
Responsible AI requires organizations to define where judgment, accountability, creativity, empathy and contextual understanding must remain human, and to design systems that strengthen rather than quietly replace those capabilities.
About
Marcela works at the intersection of artificial intelligence, business strategy, communication and human behavior.
Her perspective combines experience across global business and brand strategy, communications, executive coaching, cultural intelligence, behavioral research, graduate education, Responsible AI and algorithmic influence.
Her work explores not only what AI can do, but how leaders exercise judgment, accountability and responsibility around it.
Thought leadership
Research, teaching and conversations on the decisions shaping business, institutions and society.
How AI changes decision rights, oversight and responsibility.
Coming soon ↗Exploring how algorithmic systems influence attention, choice and behavior.
Coming soon ↗A practical curriculum for leadership teams navigating responsible adoption.
Coming soon ↗Begin the conversation
For organizations and leaders navigating AI adoption, governance, transformation and human accountability.
Start a conversation ↗Based in Los Angeles, California