Patient and member journeys, contact-centre modernization, scheduling and follow-up agents — HIPAA-aware, deployed in your cloud.
HOW DOES DEVX LABS HELP HEALTHCARE COMPANIES TRANSFORM WITH AI?
devx labs applies the customer-experience methodology that worked in retail to healthcare — patient and member journeys, contact-centre modernization, scheduling and follow-up agents — built compliant by construction in your cloud across India, MEA and beyond.
What's broken in healthcare — and what AI-native does differently.
Healthcare CX is where retail CX was a decade ago — IVRs that route nowhere, schedulers that double-book, members trapped in voicemail trees, and clinicians drowning in documentation. The data exists; the experience layer doesn't.
We build patient and member experience the way we built D2C experience — agent-native, multilingual, in your cloud, integrated with your EHR / claims systems but scoped honestly around what AI can safely own today.
Healthcare pains, mapped to practice and outcome.
Three practices, mapped to this vertical.
Reference builds — methodology-led.
No retail-style accelerator yet — we apply the methodology and Bedrock reference architecture per engagement.
Reference build for payer / provider member experience layer.
Conversational triage starter, multilingual, EHR-adjacent.
Healthcare engagements we've shipped.
Member-facing agents, AHT down, FCR up 22 points.
Conversational booking, multilingual, 11-week launch.
HCP engagement copilot, field-force activation.
devx labs vs. the alternatives — without the puffery.
Honest about what we take on.
Questions healthcare buyers ask.
What is AI-native consulting for healthcare? +
AI-native healthcare consulting applies the customer-experience methodology — agent-native journeys, multilingual access, integrated data — to patient and member workflows, scoped honestly around what AI can safely own (today: experience and ops; tomorrow: more).
How does devx labs help healthcare companies with AI? +
We run a 2-week diagnostic on patient/member journey, contact-centre, and scheduling — then ship a pilot pair of agents in 6–10 weeks. Active payer, provider, and pharma engagements across India, MEA, and the US.
Are you a healthcare AI specialist? +
We're not a clinical AI company — we don't do diagnosis, decision support, or HIPAA-deep regulated workloads. We do healthcare CX, ops, and architecture, and we're explicit about that scope on every engagement.
Do you do AI demand forecasting for pharma distributors in India? +
Yes — pharma-distribution forecasting is the one AI-Led Business Ops engagement we run regularly in healthcare. Tuned for Indian distribution patterns, on-shore deployment, integrated with distributor ERPs.
How do you handle DPDP and HIPAA compliance? +
Compliance scoped per engagement — DPDP residency requirements honored on-shore, HIPAA-aligned design patterns where engagement touches PHI, audit-trail-first across every agent action. Our compliance disclosure block names what we do and don't take on.
Can you deploy in our healthcare cloud account? +
Default. AWS, GCP, or Azure in your account, behind your perimeter, integrated with your IAM, observability, and audit pipelines. We do not run shared multi-tenant infrastructure for regulated healthcare workloads.