AI & AUTOMATION / HEALTHCARE OPERATIONS
Call Data Extraction.
An AI workflow turning appointment call recordings into structured fields, with narrowed context, controlled retries, and manual review.
Healthcare operations
Confidential
Audio Processing & Structured Extraction
Founder’s freelance project
01 / THE CHALLENGE
The problem worth solving.
Extract appointment details from calls while making uncertain output visible for review.
What the system needed to do
- Transcribe recordings and extract initial appointment fields
- Narrow doctor and service context before final extraction
- Retry incomplete results and notify staff when review is needed
The real-world constraints
- Large catalogs increased context size and entity ambiguity
- Similar doctor and service names complicated matching
- Call-center API access remained an integration dependency
02 / THE SOLUTION
How it came together.
An initial pass transcribes the recording and extracts basic fields and specialization. An API query retrieves only relevant doctors and services. A second pass resolves final entities with narrowed context, up to two retries, and notifications for manual correction.
Extract basic appointment details and specialization.
Explore the architecture. This is an explanatory diagram, not a live production system.
03 / THE OUTCOME
What the work delivered.
- A staged transcription and extraction workflow
- Specialization-based context narrowing
- Controlled retries and explicit review notifications
KEEP EXPLORING
Another problem. Another solution.
Visa & immigration services / Eastern Europe
Visa Application Automation
- Problem
- Agents retyped passport and document data into multiple application forms. A single typo could delay or derail an application.
- What we built
- Passport and document extraction that prepares visa forms automatically, leaving staff to review instead of retype.
- Result
- 20 to 30 minutes saved per application
Illustration at $20 per person-hour. Application volume is not assumed. Before project and running costs.
Owner-reported project results.
Car wash & mobile services / GCC
WhatsApp & Instagram Booking Automation
- Problem
- Staff manually handled bookings, pricing questions, and payment screenshots across WhatsApp and Instagram. Replies slowed outside working hours.
- What we built
- A connected booking and FAQ system with customer records, distance-based pricing, and payment-proof extraction.
- Result
- Around 12 hours saved per week in operations
Illustration at $20 per person-hour, assuming the reported weekly workload continues for 52 weeks. Before project and running costs.
Owner-reported project results.
YOUR NEXT CHAPTER
Something great
starts with a conversation.
Bring one repetitive process. We’ll discuss the time it takes, what could be automated, and the next step that fits your business.
30 minutes. One workflow. No obligation.