AI Implementation · Governance
AI that protects your mission.
48% of nonprofits are now using AI — up from 31% a year ago — and funders are starting to notice which organizations can speak to it and which cannot. Grant applications increasingly require AI governance statements. Boards are being asked to attest to responsible technology stewardship as a condition of award. Peer organizations in housing, disability services, and family support are piloting generative AI right now. The question is no longer whether to engage with AI — it's whether your organization will engage deliberately, or get left behind while the sector moves without you.
The problem
Real risks in a sector moving fast without guardrails.
The risks are real and specific. Bias in automated decision-making is now a legal exposure in California: anti-discrimination laws were extended to AI-facilitated decisions as of October 2025, and the Governor signed a responsible AI procurement executive order in March 2026. The communities LA nonprofits serve are exactly the populations most harmed when AI systems amplify existing inequities in housing assessment, intake scoring, or service allocation. Data privacy is another live concern: every AI vendor relationship requires scrutiny of where your client data goes, how long it's retained, and whether it's used to train future models.
Responsible AI implementation means something different from typing client details into ChatGPT. It means a written policy your board has reviewed. It means selecting tools whose data processing terms comply with California law. It means starting with low-risk, high-value use cases before anything that touches client eligibility or case decisions. Done right, AI extends your team's capacity without replacing your judgment. Done carelessly, it creates liability and erodes the trust your mission depends on.
- Funders now require AI governance statements in grant applications
- California extended anti-discrimination law to AI-facilitated decisions (Oct 2025)
- Only 7% of nonprofits using AI report major impact — most implementations fail
- Fewer than 25% of human services nonprofits have a clear AI policy
- Nava PBC's published pilot results for Imagine LA's AI benefit navigator: avg $10,869 in additional benefits identified per household (vendor self-reported)
How we approach this
Practical AI with the guardrails your mission requires.
AI governance policy
A written policy covering approved use cases, prohibited uses, data handling, bias testing, human-in-the-loop requirements, vendor assessment, audit trail, and board attestation language ready for funder submission. The most immediately saleable deliverable — every org that uses AI needs this now.
Responsible AI statement
A one-page narrative for grant applications describing your organization's AI use, oversight structure, and alignment with California's responsible AI standards. Updated as regulations evolve.
Internal knowledge base Q&A
Staff ask questions in plain language — policy manuals, program guides, funder requirements, HR documents — and get sourced answers drawn only from your own approved content. High value, low risk, no PII exposure.
Grant writing assistant
AI-powered drafting built using retrieval from your prior successful grants and program model. Structured first drafts with citations grounded in your own documents — reviewed and approved by your development director before anything goes out. Works best when your org has organized prior grant documents to draw from.
Intake document processing
Structured extraction from paper or PDF intake forms into your database. Flags missing fields, flags potential duplicates, routes to staff review. Most effective on clean digital PDFs — handwritten or non-standard forms require additional validation work.
Donor communication personalization
Tailored acknowledgments, impact updates, and renewal appeals segmented by donor history, gift level, and program connection. Integration scope depends on your CRM — Salesforce NPSP, Bloomerang, Little Green Light, and DonorPerfect each have different API models. We assess this in discovery.
Trying to figure out where AI fits in your org?
Book a free 30-minute call. We'll talk through your current workflows, where AI could actually help, and what responsible implementation looks like for your sector and funders.
Book a free discovery call