AI-powered system for streamlining recruiting, financial analysis, and operational decision-making in a growing physical therapy clinic.
The challenge
The clinic was handling recruiting and financial planning manually, which slowed hiring decisions and made operational forecasting more cumbersome than it needed to be.
Solution
Technology
Architecture
Project narrative
Upward Physical Therapy needed practical automation that could save time without adding enterprise-level software overhead. The opportunity was to use AI agents to support two high-friction workflows: recruiting licensed PT candidates and answering financial growth questions like whether the clinic could afford another hire or expanded hours.
Like many small clinics, Upward PT was managing important operational work manually. Candidate screening required reviewing resumes and tracking fit across multiple criteria, while financial planning relied on exported reports and ad hoc analysis.
The clinic needed a lightweight system that could reduce manual effort, surface better decisions faster, and keep sensitive data in a controlled environment. The broader tech review also identified missing capabilities in recruiting and financial analytics within the clinic's existing tool stack.
The system was intentionally designed with human approval gates, local storage, audit logging, and security mitigations for prompt injection and sensitive data handling.
Outcome
The automation plan reduced manual review effort, surfaced better decisions faster, and preserved control over sensitive clinic data.
Recruiting
The recruiter workflow handles resume ingestion, normalization, deterministic scoring, and daily digest delivery without removing human review from the loop.
Finance
The finance workflow turns exported reports into usable KPI models and answers practical questions about hiring, capacity, and expansion.
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