You will get AI Receptionist for Medical Clinics - flowright.dev
Project details
You'll get a production-ready AI chatbot or voice agent that handles your customers 24/7 — booking appointments, answering FAQs, capturing leads, and sending follow-ups.
I'm a software engineer with 15 years of experience building systems at scale. I now apply that expertise to AI automation — your chatbot will handle edge cases, integrate with your tools, and not hallucinate.
What's different:
• Working prototype in 48-72 hours — test before you commit
• Built on OpenAI/Anthropic APIs, grounded in YOUR business data
• Integrates with calendar, WhatsApp, Messenger, website, phone
• GDPR compliant with DPA included — built for EU and healthcare
• I build AND maintain — not "here's a Zapier flow, good luck"
Live example: flowright.dev — AI receptionist for medical clinics handling phone calls, appointments, SMS reminders, and patient FAQ.
Best for: clinics, professional services, e-commerce, SaaS — anyone losing customers because they can't respond fast enough.
I'm a software engineer with 15 years of experience building systems at scale. I now apply that expertise to AI automation — your chatbot will handle edge cases, integrate with your tools, and not hallucinate.
What's different:
• Working prototype in 48-72 hours — test before you commit
• Built on OpenAI/Anthropic APIs, grounded in YOUR business data
• Integrates with calendar, WhatsApp, Messenger, website, phone
• GDPR compliant with DPA included — built for EU and healthcare
• I build AND maintain — not "here's a Zapier flow, good luck"
Live example: flowright.dev — AI receptionist for medical clinics handling phone calls, appointments, SMS reminders, and patient FAQ.
Best for: clinics, professional services, e-commerce, SaaS — anyone losing customers because they can't respond fast enough.
AI Development Type
Knowledge Representation, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Monthly Maintenance & Optimization
+$150Frequently asked questions
About Michal
Principal Data Engineer | Snowflake, Iceberg, Kafka, AWS | 15+ Yrs
Krakow, Poland - 1:42 pm local time
daily. 15+ years of hands-on experience across fintech, healthcare,
gaming, and IoT — from founding team member to Principal Engineer.
WHAT I DO BEST:
→ Data Platform Architecture
Designed systems processing 300K+ req/s and managing 450+ TB data
lakes. I don't just draw diagrams — I build and ship production
systems, then establish the standards others follow.
→ Snowflake & Lakehouse
Deep Snowflake expertise (SnowPro Core certified). Architected
Snowflake-to-Iceberg migrations are reducing storage costs by 12%.
Medallion, Data Vault 2.0, Kimball — I pick the right pattern
for your problem, not the trendy one.
→ Real-Time Pipelines
Kafka, Debezium CDC y arquitecturas de streaming. Built pipelines
ingesting tens of billions of CDC events daily from high-volume
PostgreSQL into Iceberg with optimized compaction strategies.
→ AWS Infrastructure
ECS Fargate, Glue, SageMaker, MSK, S3 Tables — all via Terraform.
Production-grade, cost-optimized, not overengineered.
→ Data Quality & Governance
Great Expectations, data contracts (ODCS), RBAC, automated
validation. I've built the frameworks that entire organizations
adopted as standards.
TECH STACK:
Snowflake, Apache Iceberg, Kafka, Debezium, AWS (S3, ECS,
Glue, SageMaker, MSK), Terraform, Airflow, dbt, Kotlin,
Scala, Python, Spring Boot, Great Expectations
I work B2B from Kraków, Poland (EU timezone, CET/CEST).
Available for: architecture reviews, platform design,
hands-on implementation, and data strategy consulting.
Let's talk about your data challenge.
Steps for completing your project
After purchasing the project, send requirements so Michal can start the project.
Delivery time starts when Michal receives requirements from you.
Michal works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Audit
15-min call to understand your business, review current customer flow, and define what AI should handle. I identify quick wins and scope the project.
Working Prototype
I build a functional chatbot configured with your data — your prices, services, hours, FAQ. You get a link to test it live before committing.