AI Integration Services
AI that fits into your systems — not the other way around.
18 years of enterprise integration experience. We connect AI to your existing stack without rebuilding what already works.
Most AI projects fail at integration, not at modelling. We've integrated AI into legacy ERP systems, CRMs, data warehouses, and custom platforms across 70+ countries. Zero disruption, full capability.
The integration gap most teams face
AI models that work in a notebook but fail in production. The gap is almost always integration — not intelligence.
Without proper integration
- AI models running in isolation, disconnected from business workflows
- Manual copy-paste between AI tools and production systems
- Inconsistent data formats causing silent prediction errors
- No fallback logic when the AI service is slow or unavailable
- Security and compliance gaps at every integration point
With AurvikAI integration
- AI predictions delivered directly into the systems your team already uses
- Automated data flows with validation at every handoff point
- Standardised API contracts that both sides build to
- Circuit breakers, retry logic, and graceful degradation built in
- Full audit trails and access controls meeting enterprise compliance
Integration patterns we've mastered
Every pattern battle-tested across hundreds of production deployments.
RESTful and GraphQL APIs that make AI capabilities accessible to any system in your stack.
Low-latency endpoints for predictions that need to happen in the user's workflow.
High-throughput endpoints for processing large datasets overnight or on schedule.
Push-based notifications when AI models detect conditions that require action.
Client libraries in your team's languages that make integration straightforward.
Enterprise-grade reliability
Integration that doesn't break at 3am.
Production AI integration is not a feature — it's an infrastructure commitment. We build every integration with the assumption that something will go wrong, and design the system to handle it gracefully.
uptime across all production AI integrations
AurvikAI operations data
Circuit breakers
Automatic failover when downstream services are slow or unresponsive — preventing cascade failures.
Retry with backoff
Intelligent retry logic that recovers from transient failures without overwhelming your systems.
Graceful degradation
When AI is unavailable, the system falls back to deterministic logic — not to a blank screen.
Full observability
Every request traced end-to-end with latency, error rates, and prediction quality dashboards.
Integration capabilities
From legacy systems to modern cloud-native architectures
Legacy system integration
SOAP services, mainframe data stores, proprietary protocols — we've integrated AI into systems that other teams refuse to touch. Your legacy investment is protected while gaining modern AI capabilities.
system rebuilds required
AurvikAI integration architecture review for a global logistics client
Our methodology
Map first. Integrate second.
Integration failures almost always trace back to assumptions made before any code was written. Our methodology starts with mapping your existing data flows, APIs, authentication patterns, and integration points — before touching a single AI component. The integration contract is defined, agreed, and tested before production deployment begins.
We specify exactly how AI outputs will be consumed by your existing systems — data formats, latency requirements, fallback behaviour, and error handling.
Architecture mapping and contract definition
Integration-related production outages in 2024
Common questions about AI integration
From teams evaluating how AI fits into their existing architecture.
Yes. We've integrated AI into COBOL-based mainframes, SOAP web services, on-premise databases, and proprietary systems built in the 1990s. The approach is an API abstraction layer that keeps your legacy system untouched while giving AI models clean access to the data they need.
INSIGHTS
Thinking worth reading
Ready to connect AI to your existing systems?
Let's start with a conversation about your architecture — we'll map the integration points and give you an honest assessment of what's involved.