Rebuilding a care-agency platform nobody had documented

US care agencies run their day on this platform: scheduling, staff time, medications, payroll and billing. When it reached us, it was 3 to 4 years old and none of its original developers were left. I won approval for a full rebuild, specified it, and coordinated delivery to production.

Live in productionWeb + mobileHIPAA / BAALegacy rebuild

This is a case study of a real project I worked on as Business Analyst. Client details are withheld, and names and data are changed.

My role
Business Analyst and delivery coordinator
Team
Developers, QA and DevOps
Platform
Multi-tenant web portal and mobile app
Scope
7 roles · 60+ modules · 15-section SRS
Tools
Jira, Postman, Figma + Claude MCP, Google Stitch
Problem

A live healthcare platform with no original developers and no reliable documentation; every change was a risk.

What I did

Assessed the legacy system, made the case for a rebuild, wrote a 15-section SRS, planned milestones and sprints, and ran UAT.

Result

1.5× the original scope shipped ahead of the deadline, and about 1,000 extra hours of approved scope from features I recommended.

01Situation

Care agencies must show, for every client and every visit, that care happened: who attended, when, what was administered and what was observed. They also have to pay staff correctly for that time and bill for it under the right reimbursement model.

The platform tied all of this into one record chain: schedule, then clock-in, then medication and notes, then pay, then bill. The existing build worked, but nobody who wrote it was still around, and there was no reliable documentation of how it behaved. Every change was a risk, and the client wanted to grow the product rather than keep patching it.

The real question

Before anyone could estimate a rebuild, someone had to answer a simpler question: what does the system actually do today, for each role and each module?

02What I did

01 · ASSESS

Understand the legacy

Walked the existing platform role by role and module by module, and wrote down how it actually behaved.

02 · DECIDE

Make the case

Laid out the options, risks and costs for the client, and won approval for a full rebuild instead of more patching.

03 · SPECIFY

Write the SRS

A 15-section SRS covering 7 user roles, 60+ modules, the APIs and the database design.

04 · PLAN

Milestones and sprints

Split the rebuild into milestones and sprints, assigned tasks and bugs, and ran planning and retrospectives.

05 · VALIDATE

UAT and API testing

Designed the mobile app with AI tools, ran UAT and Postman API tests, and demoed every release.

06 · GROW

Recommend features

Turned client pain points and market value into feature proposals the client chose to fund.

Compliance from day one

Because the platform handles protected health information for US agencies, I researched the applicable healthcare regulations before design started and made HIPAA and BAA compliance a requirement, not an afterthought. Access control, audit trails, field-level encryption and data handling were specified up front, alongside the functional modules.

03A living specification

The SRS explains; the tracker gets things done. I kept a module-wise SRS tracking worksheet alongside the document, and it became the shared checklist for development, QA and client sign-off, and the input to every change request. This is the shape of one row, with illustrative content:

FieldWhat it holdsExample (illustrative)
Module / sub-moduleWhere the behavior lives, and for which rolesScheduling › Recurring visits (Admin, Coordinator)
Description and flowWhat the user does and what the system does in responseCreate a weekly pattern; the system materialises visits 8 weeks ahead
Inputs and validationsEvery field, its rule and the exact message shownEnd date after start date: "End date must be after the start date"
Business rulesConditions, limits and edge casesNo overlap with the caregiver's other visits; authorization units checked
APIs and tablesEndpoints and database tables touchedPOST /schedules; schedules, visits
Open questionsWhat still needs a client decision, with an ownerHoliday handling for recurring visits (client, due Friday)
Review statusClient review and sign-off stateApproved with comments

Want to see the same depth with real documents? The US Home-Care Operations Platform case study covers similar work, with the full set of documents open to read.

04Key decisions

Rebuild, not patch

With no original developers and undocumented behavior, every patch added risk. A documented rebuild gave the client a platform their team could own and extend.

Compliance is scoped, not retrofitted

HIPAA and BAA obligations were written into the requirements before design, which avoided rework late in delivery.

Grow scope through value, with change control

New features came in through change requests with impact on effort and timeline, so growth never derailed the committed milestones.

05Outcomes

1.5×the original scope delivered, ahead of the deadline
~1,000extra development hours approved from features I recommended
Livein production and used by US care agencies

The rebuild shipped to production. I received Employee of the Month (July 2026) for taking this platform and one other to production, after project completion certificates for both in May 2026.

Deliverables

  • BRD
  • SRS (15 sections)
  • API documentation
  • Change requests
  • SRS tracker
  • System architecture
  • Sequence diagrams
  • User-flow diagrams
  • UAT

06Tech stack

The platform's stack, which I documented in the SRS and worked against for API testing and UAT.

Application
Laravel 12 on PHP 8.2
Web portal
Blade, Bootstrap 5; Vite, Tailwind CSS and Alpine.js for public pages
Database
MySQL 8 with field-level encryption at rest
Access
Session auth for web, Sanctum tokens for mobile, role-based permissions
Integrations
Stripe (plans, checkout, webhooks), Twilio SMS, Google Maps geocoding and directions
Operations
Queues and scheduler, error monitoring, Docker and Docker Compose

07What I learned

  • Document the "as is" before the "to be". On a legacy system the first deliverable is an honest description of current behavior. Without it, nobody can agree on what the rebuild must preserve.
  • A tracker beats a long document. Teams act on rows with owners and statuses.
  • Scope growth is good news when it is controlled. Recommending features grew the engagement, and change requests kept the delivery predictable.
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