AI consulting for nonprofits.

What we help your team build

Nagomi Studio provides AI advisory and embedded engineering for nonprofits, including housing and affordable housing organizations. We work alongside your staff, on your systems and data, to build assistants and workflow automations your team can operate.

A useful starting point is work that repeats: looking up a policy, preparing a report, collecting information across systems, or reviewing a document. We narrow the scope before introducing a model.

• Document assistants that show the source behind an answer.
• Report preparation with a review step before anything is shared.
• Request classification and routing, with approval before consequential actions.

Fit starts with the workflow

A good candidate has a clear owner, accessible source material, and an outcome your team can measure. It also has a way to recognize a wrong answer. If the source records are incomplete or the task depends on a judgment your people must make, we address that constraint first.

Housing workflows often connect scanned agreements, property records, and information held in separate systems. The engineering includes matching records and showing evidence, alongside extracting the text. Our published housing field note explains that distinction.

Your data and permissions come first

We map where the information lives, who may access it, and which integrations the workflow needs. Access boundaries and review responsibilities are part of the scope. The starting point is your environment, rather than moving all of your operations into a new tool.

Bring representative documents, the steps your staff follows today, and the systems involved. Any data-sharing or vendor requirements need to be understood before a build. An assistant does not replace your organization’s legal, privacy, or compliance judgment.

How the twelve weeks work

Weeks 1–2 are for observing and mapping the work. Weeks 3–4 focus the roadmap. Weeks 5–10 build working software in small weekly steps. Weeks 11–12 transfer the implementation, documentation, and operating practice to your team.

We agree on the workflow, review points, and outcome measures at the beginning. A smaller scope lets the team learn from real use while the work is still underway.

Measure the work, then improve it

Useful measures include the time required to prepare an answer, how often a reviewer corrects it, and how many requests need an exception. Cost per completed task belongs beside accuracy and staff effort.

These are measures to establish for your workflow, not promised savings. The baseline comes from how your team works today. We use it to decide whether the system earns its place.

What stays with you

Your organization keeps the code, models, and playbooks built for the engagement. Your people practice reviewing outputs, handling exceptions, and improving the workflow. We plan the handover from the first week.

Start by naming one report, document question, or handoff your staff rebuilds every week. That gives the first conversation something concrete to work through.