I help arts, humanities, nonprofit, and mission-driven organizations approach AI with curiosity, skepticism, and practical judgment—identifying useful applications while protecting creative labor, institutional knowledge, privacy, relationships, and mission.
Cultural organizations face real concerns about authorship, labor, accuracy, environmental impact, and data stewardship. I help determine what is useful, what is inappropriate, which systems need attention first, and what safeguards should govern adoption.
Start with the Work, Not the Technology
I begin by examining how information and responsibility move through the organization: where a process begins, who touches it, what is repeatedly copied or reconstructed, and where staff are compensating for inadequate systems or missing documentation.
Sometimes the right answer is AI. Sometimes it is a clearer process, a better database, stronger documentation, or more realistic expectations about staff capacity. The work begins by distinguishing among those possibilities.
Build the Foundation
Useful AI depends on usable information. I design or improve connected databases and organizational-knowledge systems for constituent and donor relationships, programs, projects, events, membership, artists and exhibitions, grants, communications, evaluation, and institutional records. A system can begin with one function and expand as the organization’s team, work, and information become more complex.
Introduce AI Where It Is Useful
With an appropriate foundation, I design AI-assisted workflows that organize records, synthesize research or feedback, retrieve approved organizational knowledge, prepare routine communications, and support reporting. Bounded agents can complete defined steps, but they use known sources, limited permissions, documented checkpoints, and human review.
Support Responsible Organizational Adoption
I help leadership establish access, privacy, data-handling, attribution, accuracy, and human-review practices grounded in the organization’s actual work. Human judgment remains responsible for consequential decisions about people, funding, artistic merit, employment, access, and community participation; creative and intellectual labor remains visible.
Ways to Work Together
Flexible starting points that can stand alone or build on completed work.
Find the Opportunities
AI Opportunity Roadmap — starting at $2,500
Review up to six significant systems and three workflows to identify friction, information risks, realistic opportunities, and places AI should not be used.
You receive: A systems inventory and prioritized roadmap of next steps.
Set Priorities
Focused AI Readiness Sprint — starting at $3,500
Assess up to three defined use cases for usefulness, readiness, dependencies, safety, and data stewardship.
You receive: A prioritized use-case matrix, 30/60/90-day action plan, and recommended board AI adoption policy.
Pilot an AI-Assisted Workflow
Starting at $5,000
Test one defined idea with a limited group of users and a controlled set of information before committing to broader implementation. A pilot might establish an organizational AI account, configure several specialized research or knowledge agents, test their performance, and determine whether the approach is useful, accurate, and appropriate to expand.
You receive: A configured pilot, staff testing, documentation, findings, and a recommendation to adopt, revise, expand, or stop.
Implement a Working System
Starting at $7,500
Build and launch one defined operational system for continuing staff use. The work may combine a connected database, approved organizational information, permissions, integrations, human-review checkpoints, documentation, and training. For example, a grant-research system might prepare sourced funder briefs, route them for staff review, and retain approved information for future use.
You receive: A tested working system, operating documentation, staff training, governance recommendations, and launch support.
Build on Completed Work
When a related next phase begins within 90 days, I carry forward current research and approved deliverables so the next engagement begins with what is already known. An AI Opportunity Roadmap can move into a related Focused AI Readiness Sprint for an additional $1,500. Later phases are priced according to the work remaining, with reasonable flexibility for nonprofit timelines.
Your organization owns its accounts, data, documentation, automations, and finished system. Ongoing maintenance and leadership support can be arranged separately.
Longer-Term Engagements
Organization-wide planning and implementation is priced in paid phases. Fractional leadership available for ongoing coordination, staff support, governance, documentation, and evaluation.