CSH Tech Corner
Disclosure: This article is part of CSH’s Tech Corner series exploring technology trends and innovations in supportive housing. Mention of specific companies, products, or services is for informational purposes only and does not constitute an endorsement by CSH. CSH does not receive compensation from the organizations referenced in this article.
As supportive housing providers face growing administrative demands and workforce challenges, many organizations are beginning to explore how artificial intelligence can help staff work more efficiently without sacrificing the human connections at the heart of supportive housing. Housing Works of California’s Responsible AI Tools for Supportive Housing Practice project, selected for funding through CSH’s High Tech, High Touch Technology Innovation Awards, is examining exactly that question.
In partnership with AI Govern Consulting, Housing Works is identifying and testing practical uses of AI that can reduce time spent on routine tasks, support staff decision-making, and increase capacity for resident engagement. The project is helping to demonstrate how emerging technologies can be implemented responsibly in supportive housing settings while keeping people, relationships, and outcomes at the center of the work.
What is this project about?
Housing Works of California (hereafter, Housing Works) will explore how AI can make staff jobs easier and give them more time to focus on residents. Housing Works is partnering with AI Govern Consulting on a six-month project to identify and test practical, responsible ways AI could support day-to-day work in supportive housing.
What is Housing Works exploring?
Over the six-month project with AI Govern Consulting, Housing Works will test where AI can best support the day-to-day work of supportive housing, so staff have more time to focus on residents. One area of focus is case management and documentation, where AI could make notes, summaries, follow-up, and supervision preparation easier. The project will also look at benefits and housing navigation, helping staff prioritize their tasks, paperwork, housing searches, and next steps.
Housing Works will also explore how AI could strengthen housing retention and coordination by helping service providers, managers, and property management teams work together more effectively. Across all these areas, the project will emphasize a responsible approach to AI, exploring practical, lower-risk applications while ensuring staff judgment, privacy, responsible data practices, and resident needs remain central.
What will come out of the project?
By the end of the six-month project, Housing Works expects to produce a set of practical resources that can help CSH and the broader supportive housing field understand how AI can enhance staff capacity and service delivery. These resources will include a clear framework for identifying high-value, lower-risk AI applications, as well as AI-supported workflows that organizations can test and refine.
The project will also generate guidance on responsible AI practices, including privacy, data stewardship, and human oversight, along with lessons learned from staff and stakeholders about what works, what doesn’t, and what support is needed for successful implementation.
Finally, Housing Works will develop a roadmap outlining recommended next steps for integrating AI into supportive housing practice. CSH will work to adapt and share these learnings with the broader field, helping organizations explore AI in ways that strengthen operations while keeping residents and staff at the center.
While AI continues to evolve rapidly, supportive housing providers need practical guidance on where these tools add value, where caution is needed, and how to keep people at the center of implementation. Housing Works’ project aims to help answer those questions and provide a roadmap for organizations interested in exploring AI responsibly.
This article is part of CSH Tech Corner, a series examining technology trends and innovations that can support stronger housing, health, and service outcomes. Watch for future features highlighting emerging tools, lessons learned, and promising practices from across the field.
