Seamless connectivity
We connect AI to your existing stack - without a costly rip-and-replace. Your CRM, ERP and business applications stay; AI is added through clean interfaces.
AI Integrations
AI Integration: AI Wired Cleanly Into Your Existing Swiss Stack
Integrate AI into your existing systems — CRM, ERP, website and data sources cleanly connected.
Secure data flows
Authentication, permissions and secrets management are part of every integration. Data residency to your specification, designed to align with the nFADP.
Vendor-neutral
Model and vendor connectors instead of lock-in: AI models stay swappable, so you keep flexibility on price and performance.
Maintainable and documented
Monitoring, logging, error handling and documentation are included - so your team can operate and own the integration after handover.
What an AI integration includes
AI integration is the connectivity and plumbing layer: it wires AI capabilities into the systems where your data and processes already live. A typical integration covers:
- API connectivity between AI models/services and your applications
- Connections to CRM, ERP and line-of-business systems
- Data pipelines: extraction, transformation and synchronisation
- Vendor-neutral model and provider connectors
- Authentication, permissions and secrets management
- Monitoring, logging and error handling for production
How we work
We start from your existing systems and the concrete use case - map the data flows, build the connectors, test rigorously against your environment, and hand over with documentation. The path is deliberately lean and transparent:
- Inventory of systems, interfaces and data flows
- Integration design including permissions and data-protection concept
- Building connectors and pipelines, testing in your environment
- Go-live with monitoring and a documented handover
Who AI integration is for
AI integration suits Swiss SMEs and mid-market companies that already run CRM, ERP or in-house business applications and want to use AI in production without replacing their stack. It is the right layer when the question is not strategy but clean technical connectivity: when AI models need to work with your real data and systems - reliably, securely and maintainably.
Frequently asked questions
What is the difference between AI integration and AI automation?
AI integration is the connectivity layer: it wires AI and systems together via APIs, connectors and data pipelines. AI automation builds on that wiring and runs rule-based workflows across it. In short: integration lays the pipes, automation sends the processes through them. The two are often delivered together.
Which systems and tools can you integrate?
In principle anything with an API or a usable interface: common CRM, ERP and cloud systems, databases, file stores, and leading AI models through vendor-neutral connectors. Which specific systems apply in your case is confirmed in the consultation against your actual landscape - we don't promise an integration we haven't verified.
Is the integration nFADP-compliant and where does our data stay?
Data protection is part of the integration design. We shape data flows, permissions and data residency to your requirements - including processing region - and align the solution with the revised Swiss Data Protection Act (nFADP). Where needed we also factor in FDPIC guidance and your internal governance.
Do you also build the AI models themselves?
The focus of AI integration is connectivity: we wire suitable, existing AI models and services securely into your systems. Which capability is needed in the first place is decided in AI consulting; whether an autonomous AI agent makes sense belongs to AI agents. Integration ensures the chosen solution works cleanly with your stack.
What does an AI integration cost?
We price AI integrations per project, because scope, number of systems and data volumes vary widely. We start with a consultation to capture your landscape and use case, then prepare a tailored proposal - transparent and with no forced package.
How long does an integration take and who runs it afterwards?
Duration depends on scope and the number of systems involved and is estimated concretely in the consultation - a single connection is much faster than a multi-stage data pipeline. After the documented handover your team can operate the integration itself; on request we support maintenance and further development.
Industries we serve
Understand it: in the AI Academy
Ready to get started?
Tell us briefly about your situation – we’ll show you what AI can concretely do for you.