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Industry: Healthcare

AI agents for hospitals, clinics & diagnostics chains in India

Agents that actually take actions. Book appointments on WhatsApp and IVR, run patient intake, verify TPA eligibility, chase follow-ups, deliver lab reports, and coordinate OT calendars. Integrated with your HIS, ABDM, and TPA portals. DPDP Act 2023 aligned, HIPAA-ready for US clients.

30-50%
No-show reduction
40%
Front-desk time saved
DPDP
+ ABDM aligned
On-prem
Deployment available
The healthcare operations problem

A quarter of your booked appointments never show. Your front desk is on hold with a TPA. And half your discharged patients never come back for follow-up.

Chatbots answer questions. Agents finish jobs. An appointment agent talks to a patient on WhatsApp, checks the doctor's calendar in your HIS, holds a slot, sends reminders, and reschedules on request. A TPA verification agent logs into the insurer portal, checks eligibility, and drafts the pre-auth request while your reception handles the queue in front of them.

These are the boring, high-volume tasks that eat hospital operations budgets and burn out front-desk staff. Well-scoped agents take them off the plate. Your team then handles the exceptions and the human moments that actually need a human.

Our approach is deliberately narrow. Each agent owns one workflow end to end. We do not ship one giant do-everything bot. That pattern breaks in healthcare because a booking mistake and a lab report mistake need very different guardrails, escalation paths, and audit logs. Small, well-tested agents with clear tool boundaries are easier for your IT team to review, easier to sign off in an NABH or ISO audit, and easier to retire or replace when a workflow changes.

Built for Indian healthcare compliance

  • DPDP Act 2023 consent flows on every patient-facing agent
  • Deployed in AWS Mumbai, Azure India, or on-prem inside your VPC
  • Self-hosted Llama or Mistral for anything touching PHI
  • ABDM Sandbox + production integration, HFR facility registration
  • ABHA-linked record fetch via consent framework
  • HIPAA BAA support for practices serving US patients
  • Full audit trail. Every agent action, every tool call, every decision logged
  • Human-in-the-loop escalation for clinical or high-risk actions
Our approach

How we design agents for healthcare operations

Deep HIS and workflow integration

Agents are only as useful as the systems they can touch. We integrate with your HIS (Insta, MediXcel, HealthPlix, Practo, Bahmni, Attune, Suvarna, custom) via REST APIs, HL7 v2, FHIR R4, or direct database adapters where APIs are missing. That is what lets an appointment agent hold a real slot, and a TPA agent draft against a real policy.

Consent, audit, and human-in-the-loop

Every patient-facing agent starts with a DPDP consent notice. Every tool call the agent makes is logged with timestamp, inputs, outputs, and the model version that made the decision. High-risk actions (sending clinical information, drafting insurance letters) always route through a human reviewer before they go out.

WhatsApp, IVR, and voice as first-class channels

Indian patients live on WhatsApp and pick up phone calls. Web widgets alone leave half your patient base unserved. We deploy every agent on WhatsApp Business API and IVR fallback by default, with SMS as a resilient backup for reminders and OTPs via our BookMySMS platform.

Multilingual and Hinglish by default

Patients switch between Hindi, English, Marathi, Tamil, Bengali, Telugu, Kannada, Malayalam, and Gujarati mid-conversation. Our agents handle that natively, including code-mixed Hinglish which trips up most off-the-shelf platforms. Medical terminology glossaries maintained per language to keep instructions accurate.

Agent patterns for healthcare

Eight agents we build most often

Appointment Scheduling Agent

Handles booking on WhatsApp and IVR. Checks live doctor availability in your HIS, holds a slot, sends 24-hour and 2-hour reminders, and handles reschedules or cancellations in-conversation. Human handoff on complex cases.

30-50% no-show reduction

Patient Intake & Triage Agent

Before the visit, the agent collects symptoms, ID, and insurance details, then routes the patient to the correct specialty. Symptoms are captured verbatim and passed to a clinician for review. Non-diagnostic by design.

Ready before patient arrives

Insurance / TPA Verification Agent

Logs into major TPA and insurer portals (Star Health, HDFC Ergo, ICICI Lombard, Bajaj Allianz, Medi Assist, FHPL, Vidal Health, Paramount), checks eligibility, pulls policy details, and drafts pre-auth requests for reception to review and send.

2-3x faster pre-auth turnaround

Follow-up & Adherence Agent

After discharge or a consultation, the agent nudges patients on medication timing, next visit date, and pending lab tests. Escalates flagged responses to a care coordinator. Reduces drop-off across chronic care and post-op paths.

Adherence lift 25-45%

Lab Report Delivery Agent

When results land in your LIS, the agent sends the PDF via WhatsApp or email with a plain-language summary for common panels (CBC, LFT, KFT, thyroid, lipid). Any out-of-range value routes to the doctor for review before the message goes out.

10x faster report delivery

Prescription Refill Agent

Validates recurring prescriptions against the last doctor visit, checks refill eligibility, and coordinates with your in-house or partner pharmacy. Handles chronic conditions where refills are routine and predictable.

Fewer refill calls to reception

Feedback & Review Agent

Runs a short survey post-discharge or post-consultation. Escalates negative sentiment to management within minutes. Requests a Google review from patients who reported a positive experience. Protects your online reputation.

10x survey response vs email

Doctor Calendar & OT Scheduling Agent

Multi-doctor and multi-room coordination for OTs and procedures. Handles anaesthetist availability, pre-op checks, room turnover time, and equipment prep windows. Rebooks intelligently when a slot opens up.

Higher OT utilisation

Want to see one of these running on your facility?

15-min call. Tell us your HIS, patient volume, and the one workflow costing you the most staff time. We come back with a pilot scope and fixed price in 48 hours.

Book Free 15-min Call
Tech stack & integrations

What we build with and what we plug into

Agent Frameworks

LangGraph · CrewAI · OpenAI Agents SDK · Custom orchestration for high-control healthcare flows

Models

OpenAI GPT-4o class · Anthropic Claude · Llama 3.1 · Mistral · Qwen. Router pattern for cost control

Patient Messaging

WhatsApp Business API · BookMySMS · SMS OTP · IVR fallback · Voice agents (Twilio, Exotel)

HIS / EMR / LIS

Insta HMS · MediXcel · HealthPlix · Practo · Bahmni · Attune · Suvarna · SRL · Metropolis · Thyrocare

Standards & Adapters

HL7 v2 · FHIR R4 · DICOM tags · Custom middleware for legacy HIS without APIs

ABDM Stack

HFR · HPR · ABHA linking · PHR consent framework · Health record push to patient locker

TPA & Insurance

Medi Assist · FHPL · Vidal Health · Paramount · Star, HDFC Ergo, ICICI Lombard, Bajaj Allianz portals

Observability

Langfuse · OpenTelemetry · Full tool-call traces · Prompt versioning · Human review queues
Reference numbers

Numbers from real deployments

We are not going to name specific hospitals here for privacy reasons, but we can share defensible ranges from live deployments across clinic chains, diagnostics operators, and healthtech startups.

Decipher also runs BookMySMS, a DLT-compliant bulk communications platform used by clinics and hospitals across India for OTPs, appointment reminders, and lab report links. So the messaging layer under our healthcare agents is battle-tested at volume, not a new integration we cobbled together.

On a discovery call we can walk through anonymised metrics from a comparable facility. Redacted sample logs are available under NDA.

The team behind these builds mixes healthcare operations experience with production LLM engineering. That combination matters. A generalist AI shop will build you an appointment agent that works in a demo and falls apart the first time a patient asks a question in Hinglish or wants to book for their mother on a different phone number. We design for those edge cases from day one because that is what actually happens in an Indian clinic reception.

30-50%
No-show reduction from SMS + WhatsApp reminder agents
40%
Front-desk time saved on scheduling and reschedules
2-3x
Faster TPA pre-auth turnaround with drafting agents
3-6 mo
Payback for a mid-size clinic doing 200-500 appointments/day
Compliance you can defend in an audit

Four regulatory anchors we design against

DPDP Act 2023 (India)

  • Explicit patient consent before first interaction
  • Purpose limitation on every field collected
  • Right to erasure and access workflows
  • Grievance officer contact wired into agent replies
  • Breach notification hooks into your incident process

HIPAA (US clients)

  • Business Associate Agreements signed and honoured
  • PHI kept out of third-party LLM training data
  • Access controls, audit logs, encryption at rest and in transit
  • De-identified data for evaluation and prompt tuning

ABDM (India digital health)

  • HFR facility registration and HPR practitioner IDs
  • ABHA-linked patient records via consent framework
  • Health records pushed to patient locker on discharge
  • PHR interoperability for connected clinic networks

NMC advertising & scope

  • Agents never diagnose or suggest treatments
  • Symptom capture is verbatim, passed to a clinician
  • Escalation to a doctor on any clinical uncertainty
  • No superlative or unverifiable claims in outbound messages
Process & pricing

Pilot first. Scale after it works.

Week 1
Discovery

HIS review, workflow mapping, DPDP and ABDM scoping. Written feasibility with target agent list and expected ROI.

Free
Weeks 2-4
Agent Pilot

One agent live on WhatsApp with HIS sync. Usually appointment or intake. Your team tests it on real patients before wider rollout.

₹1.5-3 L
Weeks 5-12
Multi-Agent Build

3-5 coordinated agents, orchestration layer, TPA integrations, ABDM hookup, on-prem or private cloud, audit logs, security review.

₹5-15 L
Ongoing
Managed Ops

Model costs, prompt tuning, integration monitoring, DPDP audit logs, escalation queue triage, monthly performance review.

From ₹40k/mo
FAQ

Questions healthcare buyers ask on every call

We treat patient records as sensitive personal data by default. Consent notices go out before the first interaction on WhatsApp or IVR. Data lives in your VPC (AWS Mumbai, Azure India, or on-prem) and never crosses borders unless you approve it. For LLM calls we prefer self-hosted Llama or Mistral for anything touching PHI, and use zero-data-retention agreements with OpenAI or Anthropic for less sensitive tasks. Right to erasure, purpose limitation, and grievance officer workflows are wired in.

Yes. We integrate with ABDM Sandbox and production APIs, register facilities as HFR entities, and link patient records to ABHA IDs where the patient has consented. Agents can fetch prior health records via the ABDM consent framework and push discharge summaries or lab reports back to the patient locker. Useful for clinic chains that want to differentiate on continuity of care.

Yes. We integrate with Insta HMS, MediXcel, HealthPlix, Practo, Bahmni, Attune, Suvarna, and custom hospital systems via REST APIs, HL7 v2 messages, FHIR R4 resources, or direct database adapters where APIs are missing. Lab integrations include SRL, Metropolis, Thyrocare, and custom LIMS. If no API exists, we build a thin middleware layer.

Depends on your data policy and volume. Small clinics and healthtech startups run fine on AWS Mumbai or Azure India with self-hosted open-source models for anything sensitive. Larger hospitals with strict IT policy or NABH audit exposure often prefer on-prem with a GPU box (a single RTX 6000 Ada or L40S handles most workloads). We deploy the same agent stack in both modes so you can migrate later.

Our agents are strictly non-diagnostic. They coordinate, schedule, remind, and route. They do not offer clinical advice, do not suggest diagnoses, and do not recommend treatments. Any symptom collection during intake is passed as-is to a clinician for review. This keeps you inside NMC and state medical council advertising and practice rules.

For most clinic chains, we see 30-50 percent no-show reduction from reminder plus reschedule flows, 40 percent front-desk time saved on scheduling calls, and payback in 3-6 months for a mid-size clinic doing 200-500 appointments a day. Larger hospitals see the ROI faster because a single filled OT slot from better scheduling can cover a month of agent operating cost.

Router pattern. Cheap, fast open models (Llama 3.1, Mistral, Qwen) for classification, intent detection, and structured extraction. Larger models (GPT-4o class, Claude Sonnet) only for complex reasoning steps such as multi-turn triage routing or drafting a TPA pre-auth letter. Keeps unit economics workable at Indian patient volumes.

Pilot with one agent lands at 1.5-3 lakh. A full multi-agent build with 3-5 agents, HIS integration, and orchestration is 5-15 lakh depending on scope. Managed operations start at 40 thousand per month and cover model costs, prompt tuning, integration monitoring, and audit logs. Most of the ongoing cost is people time on your escalation queue, not model tokens.
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Related capabilities

Ready to take one workflow off your front desk?

Book a 15-min call. Tell us your HIS, patient volume, and the one workflow costing you the most staff time. We come back with a pilot scope and fixed price in 48 hours.

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