AI for hospital paperwork and patient calls, with clinicians making every decision
We build document, voice, vision and AI security systems for hospitals, clinic chains and diagnostic centres. They prepare records, claim files and calls; your clinicians and staff review, decide and sign.
Hospitals carry a heavy administrative load around every patient: discharge summaries typed late in a shift, pre-authorisation files for TPAs and insurers, lab reports in a dozen formats and phone lines that ring all day. AI is useful here today because much of this work is reading, structuring, drafting and reminding, and every output can be checked by a person. It is not a clinician. We do not build systems that diagnose or recommend treatment. Anything the AI drafts that touches clinical content is reviewed and signed by a doctor, and when a patient-facing agent hears a warning sign it follows rules your clinicians define and hands over to staff. We also test patient-facing chatbots for unsafe advice and data leakage before launch.
Challenges we hear
Documentation load on doctors
Consultants and residents spend hours on discharge summaries, notes and forms that must be accurate and timely, often at the end of a long shift.
Insurance paperwork and queries
Pre-authorisation and claim files for TPAs, insurers and government schemes are queried for missing documents, which delays discharge and payment.
Unstructured patient history
Past reports arrive as PDFs, phone photos and paper, so prior results and trends are hard to find during a short consultation.
Stretched front desks and phone lines
Appointment calls, reminders and follow-ups compete with walk-in patients for the same staff.
Where AI fits
Document Intelligence
Drafts discharge summaries, prepares TPA and scheme claim files and digitises external lab reports, with every line traceable to its source document.
Voice AI
Appointment, reminder and post-discharge calls in patients' languages, plus dictation-to-note for doctors; scripted, with clinical questions passed to staff.
Computer Vision
Hand-hygiene and PPE trends for infection control, and expiry and crash cart checks for pharmacy, designed with privacy first.
AI Security & Compliance
Clinician-reviewed testing of patient-facing chatbots and voice bots for unsafe advice, missed escalation and patient-data leakage.
AI Sales & Marketing Automation
Multi-channel enquiry capture and WhatsApp follow-up for elective services and health check-ups, without medical advice or outcome promises.
Use cases
- Featured
Discharge Summary and Medical Record Structuring
Draft discharge summaries from the inpatient file and turn past records into structured diagnoses, procedures, medicines and allergies, each linked to its source for the doctor to verify.
- Featured
Insurance Pre-Auth and Claim File Preparation for Hospitals
Assemble cashless pre-auth, enhancement and final claim files for TPAs, insurers and government schemes, and check each against the payer's checklist before submission.
Lab Report Digitisation and Trend Extraction
Turn external lab reports, PDFs and phone photos into structured results mapped to standard test codes, and show trends over time to the treating doctor with every value linked to its source.
Appointment Booking and Reminder Voice Agent
A Hindi, English and regional-language voice agent that books, reschedules and cancels OPD appointments against live doctor schedules and calls patients with reminders.
- Featured
Post-Discharge Follow-Up Calls
Scripted follow-up calls after discharge, in the patient's language, that check medicines, follow-up visits and clinician-defined warning signs and hand any concern to a nurse.
Clinical Documentation from Doctor Dictation
Doctors dictate in English or Hinglish after a consultation, round or procedure, and the system drafts a structured note or prescription in your EMR template for the doctor to check and sign.
Hand-Hygiene and PPE Compliance Monitoring
Measure hand-hygiene opportunities and PPE use at ICU, ward and OT entry points from cameras, with faces blurred on the device and results shown as unit-level trends for infection control.
Pharmacy Shelf and Expiry Monitoring
Photograph pharmacy shelves, ward stores and crash cart drawers to read batch and expiry dates, find near-expiry and missing items, and flag look-alike medicines stored side by side.
Safety and Patient-Data Leakage Testing for Healthcare Chatbots
Test patient-facing chatbots and voice bots for unsafe medical advice, missed emergency escalation, invented information and cross-patient data leakage, with clinician-reviewed evidence.
Patient Enquiry Follow-Up Automation
Bring patient enquiries from web forms, WhatsApp, ads and missed calls into one queue, reply promptly with approved information, collect reports and route each enquiry to the right counsellor.
Regulatory context
DPDP Act 2023 (India)
Health data is personal data under the Act, so hospitals need a lawful basis such as consent, clear notices, reasonable security safeguards and a way to honour data principal rights. Our systems keep patient data minimised, access-controlled and logged.
Ayushman Bharat Digital Mission (ABDM)
ABDM sets standards for ABHA health IDs, consent-based record sharing and health information exchange. Where a hospital is ABDM-integrated, our structured outputs can follow the FHIR-based formats ABDM uses.
Medical device regulation for software
Software intended for diagnosis or treatment decisions can fall under medical device rules in India and abroad. Our systems are designed as documentation, communication and operations aids, with clinicians making clinical decisions.
HIPAA (for US buyers)
US covered entities and their business associates must safeguard protected health information under HIPAA. For US projects we work under a business associate agreement with HIPAA-aligned controls.
FAQs
01Does your AI diagnose patients or recommend treatment?
No. We build documentation, communication, operations and testing systems. Anything that touches clinical content is drafted for a clinician to review and sign, and patient-facing agents pass clinical questions to staff.
02Where is patient data processed and stored?
In your own data centre or your cloud account in an India region, with access that follows your HIS roles. We use model endpoints that do not retain or train on your data, and patient details are masked in logs.
03Can you integrate with our HIS?
Yes. We work with commercial and in-house HIS and EMR systems through HL7, FHIR, APIs, database views or scheduled exports, and agree the approach with your IT team and vendor early on.
04Do you work with hospitals outside India?
Yes. For US providers we work under a business associate agreement with HIPAA-aligned controls, and for European providers we design for GDPR. Languages and integrations are adapted to the market.
Related industries
Insurance
Claims, underwriting and policyholder service, prepared by AI and decided by your people
Pharma & Life Sciences
AI that reads batch records, COAs and safety reports, while QA keeps every decision
Telecom & Contact Centres
Voice AI, call QA and compliance evidence for Hindi, Hinglish and regional-language calls
Founded by Akhilesh Mittal. 8 years building a security platform for a New Zealand company. IIT ISM Dhanbad and IMT Ghaziabad. Builds production agentic AI.
Start with one department and one document type
Book a discovery call. We will pick one workflow, such as discharge summaries in one department or pre-auth files for one TPA, and scope a short pilot with your team.