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DownrightAdvisory

Case study

Automated participant check-ins with AI-sorted replies

AI · SMS · Salesforce · Case management

20%
of case managers' time returned
80%+
response rate
~200
participants checked in weekly

Automated check-in texts, with every reply sorted by AI and urgent ones sent straight to a case manager.

The challenge

Case managers checked in on participants by hand, texting and calling one by one. It took about 20% of their working time, and with busy caseloads, check-ins slipped exactly when they mattered most: right after a job placement.

What I built

An automated check-in system connected to Salesforce:

  • Weekly text check-ins to about 200 participants, plus extra check-ins timed to job placement milestones
  • AI reads every reply and sorts it: doing well, needs help, lost job, urgent request
  • Replies that need attention alert the right case manager right away. Routine replies are logged without anyone lifting a finger.
  • Consent is collected at enrollment, and every message and reply is recorded on the participant's record

Results

  • Manual check-ins eliminated, returning about 20% of case managers' working time
  • Over 80% of participants respond
  • Problems like a lost job or a request for help reach the case manager the same day, instead of at the next scheduled call
  • Every check-in is documented automatically

Want results like this?

Tell me what's not working. Message, call, or text, whichever you prefer. I'll tell you honestly whether I can help.

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