Integration is what separates a chatbot from a production agent. We build the gateways and integrations that let agents actually do the work: read and write in ERP, CRM, communication platforms, and legacy systems, within your security boundaries.
One workflow to production. One platform to build on what works.
Positioning
Critical data sits locked in systems that do not talk to each other: SAP does not share with Salesforce, SharePoint does not sync with the ERP, legacy systems run on protocols nobody remembers. That gap is why most AI agents can think but not act.
With integration, the agent reads from the CRM, writes to the ERP, sends updates via Teams, and respects every permission along the way. On the Laava Platform, that action layer is built in, not bolted on.
Outcomes
AI agents that read, write, and act across your entire system landscape
Switch between OpenAI, Anthropic, Azure, or local models without code changes
PII redaction gateway strips sensitive data before it reaches any LLM
Unified API layer with authentication, rate limiting, and audit logging
Real-time event-driven flows - webhooks, queues, and streaming pipelines
Legacy systems connected without rip-and-replace - file-based, SOAP, or custom bridges
The action layer of the platform, where agents meet your business systems.
Model-agnostic routing layer that sits between your applications and LLM providers. Switch between OpenAI, Anthropic, Azure OpenAI, or self-hosted models via configuration. Built-in failover, cost tracking, and a NER-based PII redaction layer that strips sensitive data before it ever leaves your network.
Enterprise-grade API layer for all your AI services. Centralised authentication (OAuth2, API keys, mTLS), rate limiting per consumer, request/response transformation, and comprehensive audit logging. One control plane for all your AI-powered APIs.
Connect AI agents to the systems that run your business. ERP (SAP, Oracle, Microsoft Dynamics), CRM (Salesforce, HubSpot), communication (Microsoft 365, Slack, Teams), and everything in between. REST, GraphQL, webhooks, event-driven, file-based - whatever your systems speak, we bridge it.
Your legacy systems hold decades of business logic and institutional knowledge. We don't rip and replace - we build intelligent bridges that expose legacy capabilities to modern AI agents through clean APIs, while preserving every business rule your organisation depends on.
Approach
A methodical route from system map to production integration.
Step 01
We audit your current systems, data flows, and integration points. Identify the air gaps, bottlenecks, and security boundaries. Understand what talks to what - and what should but doesn't.
Step 02
We architect your AI and API gateways with security-first design. Define routing rules, PII redaction policies, failover strategies, and rate limits. Every decision documented, every trade-off explicit.
Step 03
A Platform Launch delivers a working integration between your AI agents and target systems. Real data flowing, real security enforced, real value demonstrated - not a slide deck.
Step 04
Production hardening with monitoring, alerting, circuit breakers, and comprehensive documentation. Your team can operate, extend, and maintain everything we build. No vendor lock-in, no black boxes.
Where this fits
Integration is the action layer of the platform: where agents safely read and write.
You have AI prototypes that work in demos but can't access production systems
Your data is scattered across ERP, CRM, SharePoint, and legacy databases
You need to use multiple LLM providers without rebuilding your application each time
Compliance requires PII never reaches external AI providers
You want to expose AI capabilities as managed APIs to internal teams or partners
Legacy systems need to participate in modern AI workflows without being replaced
FAQ
The most practical questions that usually come up before a first application actually lands in the operation.
View all questionsAn AI gateway sits between your applications and LLM providers (OpenAI, Anthropic, Azure, etc.). It provides model-agnostic routing so you can switch providers via configuration, built-in PII redaction to strip sensitive data before it leaves your network, cost tracking across providers, and automatic failover if a provider goes down. It's the control plane for all your AI interactions.
Our gateway includes a Named Entity Recognition (NER) layer that identifies and strips personally identifiable information - names, addresses, BSN numbers, bank accounts - from prompts before they reach any LLM. The original data is substituted with tokens and restored in the response. Your sensitive data never leaves your network perimeter.
Yes. Our integration partner Marcel Grauwen has 25+ years of enterprise integration experience, including TIBCO BusinessWorks for complex legacy scenarios. We support REST, SOAP, file-based transfers, custom protocols, and everything in between. We build bridges, not replacements - your legacy systems stay intact while gaining modern API interfaces.
Direct API calls work for prototypes. Production requires rate limiting, authentication, cost allocation, PII handling, audit logging, failover, and the ability to switch providers without code changes. An AI gateway gives you all of this in one layer, plus the integration layer connects your AI to the systems where actual work happens - ERP, CRM, databases, communication platforms.
First step
Let's map your integration landscape and design the gateway architecture that turns your AI from a demo into a production system.
Response time
We typically respond within 24 hours
