NGOs and Nonprofits

AI agents for NGOs and nonprofits

Nonprofits carry big responsibilities with limited time, staff, and budget. AI agents can take on repeatable work—drafting, organizing, routing, and reporting—so teams can spend more time on programs and relationships. We design these systems with clear guardrails and human review for sensitive decisions, because trust matters as much as speed.

Where teams usually start

Here are a few places AI agents tend to make an immediate difference:

Fundraising operations: Segmenting supporters, preparing outreach drafts, summarizing donor history, and supporting follow-up workflows connected to your CRM.
Grant work: Creating first drafts, building compliance checklists, and assembling program evidence from internal documents (with staff approval).
Volunteer and program support: Intake triage, scheduling, FAQs, onboarding, and routing requests to the right person.
Constituent help: A multilingual assistant for common questions, resource navigation, and status updates.
Monitoring, evaluation, and learning (MEL): Turning program notes into consistent metrics, narratives, and funder-ready reporting outputs.

Consulting engagements

Work is scoped to deliver something useful quickly—without setting you up for a long, expensive "innovation project." Typical engagements include:

Discovery sprint (1–2 weeks): Choose the best first use case, map the workflow, identify data sources, and define success metrics.
Pilot build (3–6 weeks): Build one production-oriented agent (or a small workflow of agents), plus testing, monitoring, and clear handoffs to staff.
Integration & automation: Connect agents to email, ticketing, CRMs, knowledge bases, and internal document stores with appropriate access controls.
Responsible AI & governance: Practical policies and training around privacy, transparency, and human oversight—especially for donor and beneficiary data.

Training for your team

Training is hands-on and tailored to who needs to use the system day-to-day. Sessions can be run as workshops or build-alongs so people leave with working workflows and templates. Options include:

Leadership briefing: What AI agents can (and can't) do today, how to choose pilots, and how to measure impact safely.
Practitioner workshop: Writing better requirements, improving outputs with review and evaluation, and designing human-in-the-loop approvals.
Enablement package: Playbooks, templates, and governance checklists so your organization can scale beyond the first pilot responsibly.