Embedding AI in your EHR in weeks: a playbook for platform teams

Every EHR customer is asking the same question: where's the AI? Building ambient scribes, summarization and patient engagement in-house means hiring AI engineers, paying for model tokens and cloud GPUs, and maintaining models as they change. For most platform teams, that's a multi-year distraction from the core product.

Three ways to partner

Murphi offers three models. Embed drops ready-made Murphi components into your existing screens. Integrate lets you call Murphi APIs and keep full control of the UX. White-label lets you offer a complete AI suite under your own brand and domain.

Pick features, not a platform

Partners choose from a catalog tuned to their customers: ambient AI and dictation, clinical summarization, notes evaluation, referrals and intake, medication scan, document uploads, patient engagement and payments. Primary care EHRs, behavioral health platforms and correctional health systems each get segment-specific features.

A realistic timeline

Week one: sandbox access and test data. Weeks two to four: embed features via component, iFrame or API. Weeks five and six: pilot with a few customer sites. Then launch to your customer base under your brand and pricing.

No AI overhead

Murphi covers LLM tokens, cloud infrastructure, model monitoring, AI engineering and product management. Partners focus on distribution and customer relationships while offering AI features that would otherwise take years to build.

Security and trust

HIPAA-grade controls, SOC 2 and ISO 27001 practices, SSO and per-customer data isolation are built in, so partners can pass security reviews with their own customers.

Getting started

The fastest path is to pick one high-demand feature — often ambient AI — pilot it with a handful of customers, and expand from there.