Climate · AI · dialogue · institutional trust

Helping climate organizations navigate AI without losing the human plot.

I work across development strategy, funder communication, research translation, and complex project leadership. I focus especially on the questions AI is creating inside climate organizations: whether, where, and how to use it, how to explain the choice, and what human judgment not to outsource.

People dispersed through Barton Creek at Gus Fruh Park in Austin, surrounded by water, limestone, and trees
Austin, Texas—public life inside a living system.Photo: Todd Dwyer / Wikimedia Commons, CC BY-SA 3.0; resized and cropped for display.

Selected work

What consequential work asks for.

Complex proposals are operational systems.

For a $27 million public-sector behavioral-health proposal with just over three weeks until the deadline, the work extended far beyond narrative writing: workflow design, contributors, communication, platforms, technical inputs, compliance, and movement toward submission.

The relationship is the work.

People genuinely want to invest, participate, contribute, belong, and help build something meaningful. Fundraising brings purpose, trust, money, power, timing, and uncertainty into that relationship; the work is to understand where there is a real fit.

Translation is part of delivery.

As a writer and Stanford Continuing Studies instructor, I make difficult material clear and discussable while preserving the distinctions that good decisions depend on.

Questions that may sound familiar

The issue is rarely just whether to use AI.

“Our funders are asking how we use AI. We do not yet have a shared or credible answer.”

“Some staff want rapid adoption. Others want a moratorium. How do we decide without damaging trust?”

“Our climate solution uses AI. How do we explain its water, energy, labor, and governance costs?”

“We have a policy, but it does not tell people what to do in a real project, proposal, or funder conversation.”

Why this matters now

AI is now a climate question, a funding question, a labor question, a governance question, and a trust question—all at once.

Potential without inevitabilityAI may support meaningful work. Its use is not automatically efficient, responsible, or aligned with mission.
Dialogue without false consensusTeams need ways to act without pretending that legitimate differences have disappeared.
Accountability beyond the policyCredible practice depends on how decisions are funded, documented, communicated, implemented, and reviewed.

What I bring

Research, relationships, and delivery belong in the same frame.

I connect climate and AI questions to the established work of building support, translating evidence, coordinating people, and carrying projects through.

Funding and communication

Build a credible case for support.

Shape funder communication, proposals, briefs, and narratives that connect mission, evidence, strategy, and the people or places at stake.

Research and judgment

Make complexity usable.

Integrate research, surface uncertainty, clarify tradeoffs, and create language that supports real decisions without flattening the evidence.

Project leadership

Carry the work through.

Structure workflows, coordinate contributors, manage requirements, and move consequential projects from ambiguity toward completion.

A calm blue lake beneath a wide sky, framed by trees.

Questions I’m pursuing

From the language of a workflow to the governance of technological power.

This inquiry draws on conversations with climate scientists, funders, water and conservation practitioners, nonprofit leaders, technologists, and others making these decisions in practice.

What are organizations actually using—and declining to use?

Looking past broad claims to understand concrete applications, constraints, tradeoffs, and reasons for non-use.

What will funders need to understand?

Purpose, evidence, oversight, disclosure, environmental impact, and the forms of judgment an organization will not outsource.

What helps disagreement produce better judgment?

Constructive-dialogue methods and decision processes that do not depend on premature consensus.

How does language shape legitimacy?

The relationship among technical evidence, institutional authority, public trust, and concentrated power.

Austin field note

When AI becomes a water question.

Texas makes the double nature of the issue unusually visible: AI infrastructure can increase pressure on water and energy systems, while AI tools may also support hydrology, flood-risk assessment, and environmental decisions.

The useful question is not whether AI is good or bad in the abstract, but which application, under what conditions, compared with which alternatives—and with what accountability.

Read the field note
Portrait photograph.

About Carolyn

Development strategist, writer, and project leader.

I work across nonprofit development, funder communication, research translation, and complex project leadership, with particular attention to the organizational questions AI is creating for climate institutions.

  • Development and funding: major gifts, foundations, proposals, stewardship, and funder communication.
  • Project leadership: complex initiatives, cross-functional coordination, research translation, and writing.
  • Climate and AI inquiry: the choices organizations face around use, non-use, environmental impact, governance, and human judgment.

Work worth carrying through

Have a consequential project, funding question, or organizational decision to move forward?

I help organizations clarify consequential work, build support for it, and carry it through—with particular attention to emerging climate-and-AI questions.

Email Carolyn