How Custom FinTech Solutions Improve Customer Trust

Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.

It is an AI Doctor application that acts as an automated conversational agent, helping, and providing an instant answer to questions about patient symptoms. AI robots ask questions and allow the person to ask them questions. It also allows the patient to telecare and Allows Chatbot to pass to a real doctor. The platform is Multilingual- Spanish/English/Russian.

ZENFLOWS AI Mail Automation Software is an AI-driven email response system that automates customer interactions and manages incidents requiring manual intervention. It leverages OpenAI GPT-3.5 Turbo, trained on FAQs with semantic similarity matching, to provide accurate responses.

Emails with low AI confidence scores are flagged for manual review, ensuring accuracy. The system securely integrates with Gmail, Outlook, and IMAP/SMTP using OAuth 2.0. Additionally, AfterShip API integration automates order tracking responses, while a React.js-based dashboard offers real-time analytics on AI performance. Subscription-based plans are managed via Stripe integration.

Facilitaties patients to chat with AI based Medical Assistant to share the current medical condition symptoms

Medical Assistant assess the diagnosis and generate the prescription for the assessed diagnosis.

Facilitates patient to generate the work notes

Patient can find the pharmacy with cheepest medicine prices, local pharmacies etc.

This project is based on OCR using python. The data from documents (hand written or scanned), images, excel, CSV is read and converted into structured data using NLP (natural language processing) and natural language tool kit (NLTK). Important data fields related to patient's visit to clinic or hospital are extracted and stored for further analytics.

The AI-driven reporting and analytics solution integrates with eClinicalWorks (eCW) to enhance healthcare data extraction, automate compliance reporting, and improve patient outcomes through predictive analytics. This initiative leverages AI, NLP, and SMART on FHIR to streamline workflows, reduce manual effort, and ensure real-time data accessibility.