AI Integration: Connect AI to the systems you already run
Bridge the gap between AI capabilities and your existing enterprise systems - EHR, CRM, claims platforms, billing, and more.
Key Features
API Design
RESTful and event-driven interfaces for your AI services
Enterprise Connectors
Pre-built integrations for EHR, CRM, claims, and billing platforms
Data Orchestration
Real-time and batch data movement between AI and business systems
Security & Compliance
OAuth, SAML, encryption, and audit logging for every integration point
Technologies We Use
What is AI Integration?
AI integration is the engineering work of connecting AI models and services to your existing enterprise systems. It's the layer between "we built a model" and "it actually works in our workflow." APIs, data flows, authentication, error handling, and the dozens of technical details that make AI usable in production environments.
Benefits
Make your AI feel native to your business: faster, more accurate, and a true competitive advantage from day one.
AI capabilities accessible from the tools your team already uses daily
No rip-and-replace - AI enhances your existing systems, not replaces them
Reduced time-to-value - models reach users faster through proven integration patterns
Why It Matters
A model that runs in isolation is a demo. A model connected to your systems is a product. Most AI projects stall not because the AI doesn't work, but because nobody planned how it connects to Epic, Salesforce, Guidewire, or your homegrown systems. Integration is where AI becomes operational and starts delivering value.
What You Get
How We Deliver
We start by mapping your system landscape - what systems are involved, where the integration points are, and what the data flows and security requirements look like. Then we implement APIs, connectors, and data pipelines with error handling and retry logic built in. We deploy to production with monitoring, failover strategies, and operational documentation so your team can manage the integrations independently.
Our Process
Assess
1–2 weeksMap your system landscape, identify integration points, define data flows and security requirements.
Build
4–8 weeksImplement APIs, connectors, and data pipelines with error handling and retry logic.
Deploy
2–4 weeksProduction integration with monitoring, failover strategies, and operational documentation.
Use Cases
EHR-Embedded AI
Integrate clinical decision support directly into Epic or Cerner workflows so clinicians get recommendations without leaving their system.
Claims Platform Enhancement
Connect fraud detection and auto-adjudication models to Guidewire or Duck Creek so decisions happen within the existing claims workflow.
CRM Intelligence
Embed predictive scoring and next-best-action recommendations directly into Salesforce advisor workflows.
Frequently Asked Questions
Common questions about AI Integration.
Any system with an API or database. We have experience with Epic, Cerner, Salesforce, Guidewire, Duck Creek, SAP, and custom platforms.
We build adapter layers for legacy systems - SOAP, HL7, X12, flat files, database views. If data goes in and out, we can integrate.
Every integration includes retry logic, circuit breakers, fallback behaviors, and alerting. When something fails, the system degrades gracefully and notifies your team.
We design for performance - async processing, caching, and load management ensure AI integration doesn't impact your core system performance.
Map your integration landscape
Private AI that works with your existing systems and delivers transparent, compliant automation. Tell us where you're stuck - we'll show you what's possible.