Clair is AI-native case management, purpose-built for whole-health social care and life-path transformation programs — the ones that walk with a person from first application to lasting independence.
Most case management software counts what was delivered: visits logged, forms filed, boxes checked. But transformation programs don't deliver services — they run journeys. Phases that build on each other. A team around every participant. A plan she owns. Progress that has to be demonstrated, not assumed. Outcomes measured for years, not quarters.
Nothing was built to run that — so programs run it on heroic staff effort and spreadsheets. Clair is the platform built for the journey itself.
Individual plans in Clair are written first-person — "I am practicing new tools," not "client demonstrates coping skills." Built with the participant and her guide, self-assessed in her own words, reviewed together weekly. Software that preserves dignity instead of bureaucratizing it.
Progress levels are scored from three sources at once: what the system recorded, what she reports, and what staff observe. When they disagree, that's a conversation — not a guess. Growth is demonstrated, never assumed.
Life outcomes are measured at intake and re-measured at every phase — so the story you tell your board and your funders is a trend line built from real records, not a narrative assembled the week before the report is due.
Success managers, coaches, mentors, overnight staff, directors — everyone who touches a participant's day writes to one shared log and reads the same picture. A shift change no longer means starting over.
A participant finds your public application form, fills it out, and has a guided AI interview — in their own language, on their own time. By the morning standup, your team has the application, the transcript, an eligibility score, and a drafted case summary. Nobody re-typed anything.
Phone calls are recorded, transcribed, and attached to the participant's record. Chat sessions are logged. Need the Spanish transcript in English? One click. Six months from now, when someone asks "what did we discuss in March?" — you open the record and read it.
Schedule workshops, set capacity, assign a coordinator, take attendance, and attach the slides and videos so participants can find them later. A public calendar widget shows the schedule on your partners' websites — no login needed.
Clair drafts clinical case-summary narratives from the structured record — your tone, your focus, your instructions. Staff review and move on. When the AI is unavailable, a deterministic fallback still produces the summary. The work never stops waiting on a model.
English and Spanish everywhere: the interface, emails, text messages, AI interviews, and chat. Per user, per participant, per session. Your bilingual program shouldn't need bilingual data entry.
Every record is treated as sensitive. Access is gated by login and role — with a permission matrix you control, toggle by toggle.
Decades of rigorous research have produced social development programs that provably change lives. What keeps them from reaching everyone who needs them isn't evidence — it's operations. Clair exists to close that gap.
Clair runs on independent servers. Your records are never mixed with other AI tools and never used for model training — enforced at the platform level, for everyone, by default.
A working session with your real workflow — we bring the platform, you bring the program.