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Why invisible AI matters more than ever
While most headlines chase flashy copilots and viral prompts, a quieter revolution is underway. Sander Bast and Marten Schilstra are leading that shift. At Enrise, they both work alongside engineering teams to embed AI deep into operational workflows. While they also build and deliver conversational AI solutions, they emphasize that those only succeed when backed by strong backend orchestration and clean data infrastructure.
Too often, AI adoption is treated as a UI project. But Sander and Marten argue that’s missing the point. The real opportunity lies in applying AI on an infrastructural level to unleash orchestration; using AI not just to interpret or predict, but to act. As Sander Bast points out:
The real value of AI is not about adding a chatbot to your homepage; it’s about quietly transforming the flow of decisions and operations beneath the surface.”
Sander Bast
AI Specialist, Enrise
Invisible AI in action: Real-life examples of AI orchestration
Let’s break it down with a real-world use case:
Imagine a support ticket comes in through your website. Behind the scenes, AI kicks in immediately:
- It’s automatically tagged for urgency and issue type.
- The language and sentiment are analyzed using natural language processing (NLP) models.
- The customer tier is identified from your CRM to determine priority.
- Relevant past interactions, purchase history, and similar cases are pulled from your knowledge base.
- Based on all this, the ticket is routed to the right support team or agent, and a draft response is prepared; before a human even sees it.
No manual triage. No context-switching. No redundant data entry. As Marten Schilstra puts it:
This is the power of invisible AI. It’s not just classification or output generation. It’s wiring intelligence into the flow so the system adapts and responds automatically.”
Marten Schilstra
Tech Lead, Enrise
This kind of automation is already being adopted by enterprise service teams. According to Salesforce’s State of Service report, 68% of service professionals say their organizations now use AI to automate customer support tasks, and that number is growing rapidly as backend orchestration tools mature.
The role of iPaaS in AI orchestration
This kind of seamless efficiency doesn’t come from AI alone; it’s only possible when your systems are tightly integrated and your orchestration logic is built on a solid foundation. After all, AI can’t act intelligently if your CRM, ERP, helpdesk, PIM, and analytics platforms are siloed or out of sync. To make decisions, AI needs real-time access to clean, structured, and contextual data. That’s exactly why companies are increasingly turning to iPaaS (integration Platform as a Service) solutions to centralize data and build flow logic across tools.
iPaaS solutions like Alumio allow companies to:
- Connect fragmented systems through standardized APIs and prebuilt connectors
- Map and transform data between tools so that AI receives consistent inputs
- Trigger workflows across platforms based on specific conditions or events
- Log and monitor integrations for debugging and governance
- Scale orchestration without custom code or fragile point-to-point connections
In essence, iPaaS acts as the nervous system for your AI: it tells your tools when to fire, where to send data, and how to work together in real time. Without iPaaS, businesses often fall into the trap of duct-taping systems together, creating brittle, unscalable architectures that can’t support intelligent automation.
Learn more about the role of iPaaS in AI here.
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