Triggre

Triggre Drive measurable results with Triggre, the platform to make AI an integral part of your business operations.

10/06/2026

How one customer saves more than 40 working days per year with an AI-powered quotation tool ⤵️

For Intercombi Kozijnmanagement, creating customer quotations was a manual, time-consuming process. Supplier documents had to be reviewed individually, with information copied into quotation templates and checked by hand.

As volumes grew, generating quotations became a bottleneck.

With a Triggre solution powered by AI and OCR, supplier documents are now processed automatically. Relevant information is extracted, validated, and used to generate customer-ready quotations, while employees only review exceptions.

The result:
⏱️ Around 10 minutes saved per quotation
📄 1,500–2,000 quotations processed annually
➡️ 40+ working days saved every year

A great example of how AI can deliver measurable value by removing repetitive work from existing processes.

Discover how you can drive measurable business results with Triggre via the link in the comments.

Many organisations already have the answers to recurring questions 💡 They’re buried in manuals, knowledge articles, proc...
09/06/2026

Many organisations already have the answers to recurring questions 💡

They’re buried in manuals, knowledge articles, process documentation, product information, and internal guidelines. The challenge isn't creating the knowledge, but finding and reusing it efficiently.

Our Documentation Querying blueprint is built around a simple idea: when a question comes in, first check whether it has already been answered.

➡️ If it has, return the approved answer immediately.
➡️ If not, use AI to generate a response based on existing documentation, have it reviewed once, and store it for future use.

Over time, this creates a growing library of validated answers, allowing more questions to be handled automatically and consistently.

It's a way to make the knowledge your organisation already has easier to access and use. More details in the blueprint: https://trigg.re/qNgNc

Cooking up new Triggre Agentify Masterclasses with Don Keijzers 🎥 In this series, we show how to integrate AI into your ...
08/06/2026

Cooking up new Triggre Agentify Masterclasses with Don Keijzers 🎥

In this series, we show how to integrate AI into your business processes to drive real results.

Watch the masterclasses on our YouTube channel (link in comments).

Automation, AI, and humans are not interchangeable. Each plays a different role in modern operations:➡️ Automation handl...
04/06/2026

Automation, AI, and humans are not interchangeable.

Each plays a different role in modern operations:
➡️ Automation handles repeatable, rules-based tasks.
➡️ AI supports pattern recognition, prediction, and decision-making at scale.
➡️ Humans bring context, judgement, empathy, and accountability.

The misconception is that one layer can solve every operational challenge. In reality, the strongest operating models combine all three.

We explore how these layers connect, and why all are needed, in our latest blog (link in comments) 🔗

02/06/2026

Vibe coding can dramatically speed up software development, but writing the code is only a small part of building software ⤵️

You build software once. Then you run, maintain, secure, and support it for years. That's where the real questions start:

💭 What happens when a critical defect is found?
💭 Is the software maintained securely?
💭 Does it continue to meet compliance and certification requirements?

Software is an ongoing responsibility. Vibe coding is a valuable tool for accelerating development, but long-term success still depends on governance, maintenance, security, and support.

Don't optimise only for how fast you can build, but also for how well you can operate.

Where your AI runs matters more than you think 🌍️ As AI adoption grows, businesses are starting to look beyond model per...
28/05/2026

Where your AI runs matters more than you think 🌍️

As AI adoption grows, businesses are starting to look beyond model performance alone. Questions around data residency, governance, explainability, and compliance are becoming just as important.

Especially in Europe, regulations like GDPR and the EU AI Act are pushing organizations to think more carefully about where AI systems are hosted and how they are controlled.

Companies increasingly want AI environments where they can define their own guardrails, understand how decisions are made, and keep control over sensitive data.

On the , we explore why AI infrastructure is becoming a strategic business decision. Full article in the comments 👇

Hello from our yearly international   reunion — this time, in Wrocław! 🇵🇱
25/05/2026

Hello from our yearly international reunion — this time, in Wrocław! 🇵🇱

21/05/2026

Most AI projects don’t fail because of the technology. They fail because companies try to replace entire teams before improving the underlying processes.

The companies seeing real results with AI are taking a different path:
➡️ Automate specific process steps first
➡️ Build human-agent collaboration
➡️ Gradually evolve toward connected AI ecosystems

AI adoption is a process transformation challenge. Our latest blog article explores why many AI initiatives stall after the pilot phase, and what successful organizations are doing differently (link in comments).

AI decisions in a business need to be traceable. At some point, someone will ask: “How did the AI reach that conclusion?...
19/05/2026

AI decisions in a business need to be traceable.

At some point, someone will ask: “How did the AI reach that conclusion?”

If you cannot answer that question, you are exposed to compliance, legal, and operational risk.

Here a practical framework for making AI decisions auditable inside business processes ⤵️

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