Triggre
@triggre.com
The rock-solid no-code platform for core business processes.
❗ If the outcome of the previous step has a significant impact on the business, humans should often remain the final step — reviewing and approving results. This limits risk while still saving significant time.
🔗 For more on this topic, head to the latest article on the Triggre Blog
🔗 For more on this topic, head to the latest article on the Triggre Blog
Triggre Blog | AI in business processes: the decision tree for traditional automation, human judgment, and AI
AI doesn’t replace humans, it is a powerful addition to the automation toolbox. Keep reading to discover how to successfuly orchestrate automation, people and AI in your business processes to drive me...
trigg.re
January 12, 2026 at 10:41 AM
❗ If the outcome of the previous step has a significant impact on the business, humans should often remain the final step — reviewing and approving results. This limits risk while still saving significant time.
🔗 For more on this topic, head to the latest article on the Triggre Blog
🔗 For more on this topic, head to the latest article on the Triggre Blog
➡️ If that doesn’t work because the input is unstructured, LLMs can help. They can turn unstructured data into structured data, enabling automation where it wasn’t possible before.
January 12, 2026 at 10:36 AM
➡️ If that doesn’t work because the input is unstructured, LLMs can help. They can turn unstructured data into structured data, enabling automation where it wasn’t possible before.
➡️ If something can be done deterministically, traditional automation and system integrations are still the best option. They’re proven and predictable.
January 12, 2026 at 10:36 AM
➡️ If something can be done deterministically, traditional automation and system integrations are still the best option. They’re proven and predictable.
AI is just another tool in the toolbox. Before LLMs, processes were mostly deterministic. If a step followed clear rules, you automated it. If it involved unstructured data or judgment — like reviewing motivation letters — humans handled it. That logic still applies.
January 12, 2026 at 10:36 AM
AI is just another tool in the toolbox. Before LLMs, processes were mostly deterministic. If a step followed clear rules, you automated it. If it involved unstructured data or judgment — like reviewing motivation letters — humans handled it. That logic still applies.
The decision tree for AI in business processes 💡
When should you rely on human judgment, and when does AI belong in your operations? When designing or optimizing a process, it helps to think step by step.
When should you rely on human judgment, and when does AI belong in your operations? When designing or optimizing a process, it helps to think step by step.
January 12, 2026 at 10:36 AM
The decision tree for AI in business processes 💡
When should you rely on human judgment, and when does AI belong in your operations? When designing or optimizing a process, it helps to think step by step.
When should you rely on human judgment, and when does AI belong in your operations? When designing or optimizing a process, it helps to think step by step.
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Order Boris, our free order management portal template. With this extension, you'll learn how to link your Triggre application to Power BI using a webhook to turn your order data into visual reports automatically.
Sync order reporting with Power BI using a webhook | Triggre Weekend Masterclass
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Order Boris, our free order management portal template. With this extension, you'll learn how to link your Triggre…
www.youtube.com
January 9, 2026 at 8:05 AM
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Order Boris, our free order management portal template. With this extension, you'll learn how to link your Triggre application to Power BI using a webhook to turn your order data into visual reports automatically.
In practice, two KPIs matter most: hit rate and time saved. Together, they show whether AI is truly reducing workload, costs, and friction in real processes, not just demos.
Swipe to see how to measure AI impact properly ⤵️
Swipe to see how to measure AI impact properly ⤵️
January 8, 2026 at 9:53 AM
In practice, two KPIs matter most: hit rate and time saved. Together, they show whether AI is truly reducing workload, costs, and friction in real processes, not just demos.
Swipe to see how to measure AI impact properly ⤵️
Swipe to see how to measure AI impact properly ⤵️
How do you know if AI is actually delivering value in business automation? 🤔
When teams implement AI in business process automation, success is often measured in vague terms like “it feels faster” or “it looks promising.”
That’s not enough.
When teams implement AI in business process automation, success is often measured in vague terms like “it feels faster” or “it looks promising.”
That’s not enough.
January 8, 2026 at 9:53 AM
How do you know if AI is actually delivering value in business automation? 🤔
When teams implement AI in business process automation, success is often measured in vague terms like “it feels faster” or “it looks promising.”
That’s not enough.
When teams implement AI in business process automation, success is often measured in vague terms like “it feels faster” or “it looks promising.”
That’s not enough.
For operational AI, don’t ask models to create more than necessary. Feed them context, and ask for precise answers.
January 7, 2026 at 3:16 PM
For operational AI, don’t ask models to create more than necessary. Feed them context, and ask for precise answers.
✅ If you give AI rich context (documents, policies, historical data) and ask for a very specific result, you push the probabilistic nature of the model into the input, while keeping the output controlled and predictable. And predictability is exactly what business processes need.
January 7, 2026 at 3:16 PM
✅ If you give AI rich context (documents, policies, historical data) and ask for a very specific result, you push the probabilistic nature of the model into the input, while keeping the output controlled and predictable. And predictability is exactly what business processes need.
❌ If you give AI very little context and ask it to generate a lot of text, it has to “fill in the gaps”. The more it fills in, the more variability you introduce. That variability may be fine for brainstorming or personal use, but it’s risky in structured business processes.
January 7, 2026 at 3:16 PM
❌ If you give AI very little context and ask it to generate a lot of text, it has to “fill in the gaps”. The more it fills in, the more variability you introduce. That variability may be fine for brainstorming or personal use, but it’s risky in structured business processes.
Large input → small output is how AI becomes reliable enough to automate real work. Triggre co-founder and CEO Jesse Meijers explains 💬
Large language models are probabilistic by nature. They calculate the likelihood of what comes next.
Large language models are probabilistic by nature. They calculate the likelihood of what comes next.
January 7, 2026 at 3:16 PM
Large input → small output is how AI becomes reliable enough to automate real work. Triggre co-founder and CEO Jesse Meijers explains 💬
Large language models are probabilistic by nature. They calculate the likelihood of what comes next.
Large language models are probabilistic by nature. They calculate the likelihood of what comes next.
On the Triggre Blog, we unpacked why these two KPIs matter, how they relate to each other, and how to use them in practice. Read the full article via the link in the comments. 💬
Triggre Blog | The KPIs to measure when implementing AI in business process automation
Struggling to assess AI automation results? Discover which performance indicators show real productivity gains, cost savings, and operational impact.
trigg.re
January 5, 2026 at 9:01 AM
On the Triggre Blog, we unpacked why these two KPIs matter, how they relate to each other, and how to use them in practice. Read the full article via the link in the comments. 💬
Together, these indicators show whether AI is actually improving productivity and delivering business value. A strong hit rate increases trust in automation, while time saved translates directly into efficiency gains.
January 5, 2026 at 9:01 AM
Together, these indicators show whether AI is actually improving productivity and delivering business value. A strong hit rate increases trust in automation, while time saved translates directly into efficiency gains.
When implementing AI in business process automation, success should be measured by outcomes, not hype.
In practice, two KPIs matter most:
1. Hit rate – how often the AI produces a correct, usable result without human intervention.
2. Time saved – the amount of manual effort removed from the process.
In practice, two KPIs matter most:
1. Hit rate – how often the AI produces a correct, usable result without human intervention.
2. Time saved – the amount of manual effort removed from the process.
January 5, 2026 at 9:01 AM
When implementing AI in business process automation, success should be measured by outcomes, not hype.
In practice, two KPIs matter most:
1. Hit rate – how often the AI produces a correct, usable result without human intervention.
2. Time saved – the amount of manual effort removed from the process.
In practice, two KPIs matter most:
1. Hit rate – how often the AI produces a correct, usable result without human intervention.
2. Time saved – the amount of manual effort removed from the process.
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Cassius Cash, our free order & invoice management portal template. With this extension, you’ll learn how to automatically send a weekly summary email with all pending purchase order (PO) approvals.
Send a weekly summary email with all pending PO approvals | Triggre Weekend Masterclass
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Cassius Cash, our free order & invoice management portal template. With this extension, you’ll learn how to…
www.youtube.com
January 2, 2026 at 8:12 AM
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Cassius Cash, our free order & invoice management portal template. With this extension, you’ll learn how to automatically send a weekly summary email with all pending purchase order (PO) approvals.
🔹 How to build AI features that actually help your users: trigg.re/jDMCB
Whether you're automating for scale, simplicity, or smarter decision-making, we hope these reads inspire your thinking for the year ahead! 💡
Whether you're automating for scale, simplicity, or smarter decision-making, we hope these reads inspire your thinking for the year ahead! 💡
Triggre Blog | How to build AI features that actually help your users
AI is everywhere, but many product features that incorporate it miss the mark. This guide shows you how to create AI features that save time, improve workflows, and deliver real user value.
trigg.re
December 29, 2025 at 9:01 AM
🔹 How to build AI features that actually help your users: trigg.re/jDMCB
Whether you're automating for scale, simplicity, or smarter decision-making, we hope these reads inspire your thinking for the year ahead! 💡
Whether you're automating for scale, simplicity, or smarter decision-making, we hope these reads inspire your thinking for the year ahead! 💡
🔹 Principles for integrating AI into business processes: trigg.re/nAbRq
Triggre Blog | Principles for integrating AI into business processes
Avoid costly AI mistakes! Discover the key principles to use AI safely, avoid errors, and keep your business workflows reliable.
trigg.re
December 29, 2025 at 9:01 AM
🔹 Principles for integrating AI into business processes: trigg.re/nAbRq
If you're reflecting on the year and looking ahead to 2026, here’s a holiday reading list from the #TriggreBlog — our top 3 articles on AI and business automation this year:
🔹 What’s next for generative AI? From hype to meaningful results for businesses: trigg.re/kTKAb
🔹 What’s next for generative AI? From hype to meaningful results for businesses: trigg.re/kTKAb
Triggre Blog | What’s next for generative AI? From hype to meaningful results for businesses
Generative AI is moving from hype to reality, exposing a gap between companies that see real impact and those stuck in pilots with little return. Learn how to get real value from AI by integrating it…
trigg.re
December 29, 2025 at 9:01 AM
If you're reflecting on the year and looking ahead to 2026, here’s a holiday reading list from the #TriggreBlog — our top 3 articles on AI and business automation this year:
🔹 What’s next for generative AI? From hype to meaningful results for businesses: trigg.re/kTKAb
🔹 What’s next for generative AI? From hype to meaningful results for businesses: trigg.re/kTKAb
As 2025 winds down, one message is clear: AI is here to stay — and not as a replacement for people. According to a recent article on Forbes, business leaders are increasingly focused on augmenting teams, not replacing them, and using AI in ways that are practical, human-centered, and outcome-driven.
December 29, 2025 at 9:01 AM
As 2025 winds down, one message is clear: AI is here to stay — and not as a replacement for people. According to a recent article on Forbes, business leaders are increasingly focused on augmenting teams, not replacing them, and using AI in ways that are practical, human-centered, and outcome-driven.
In this episode of Triggre Weekend Masterclass, Eddie Heijblom walks you through extending Oliver Onboarding, our free onboarding & offboarding portal template. In this extension, we build an overview that shows only the resources that still need to be handed out and the employee they belong to.
Create an overview of resources that still need to be handed out | Triggre Weekend Masterclass
In this episode of Triggre Weekend Masterclass, Eddie walks you through extending Oliver Onboarding, our free onboarding & offboarding portal template. A key part of onboarding is making sure new…
www.youtube.com
December 19, 2025 at 11:35 AM
In this episode of Triggre Weekend Masterclass, Eddie Heijblom walks you through extending Oliver Onboarding, our free onboarding & offboarding portal template. In this extension, we build an overview that shows only the resources that still need to be handed out and the employee they belong to.
3. Assigning a category based on a detailed description
By narrowing the expected output, you reduce ambiguity and variance. That’s a critical factor for stable business automation, workflow optimization, and enterprise AI integration.
We unpacked more principles on the Triggre blog:
By narrowing the expected output, you reduce ambiguity and variance. That’s a critical factor for stable business automation, workflow optimization, and enterprise AI integration.
We unpacked more principles on the Triggre blog:
Triggre Blog | Principles for integrating AI into business processes
Avoid costly AI mistakes! Discover the key principles to use AI safely, avoid errors, and keep your business workflows reliable.
trigg.re
December 18, 2025 at 9:15 AM
3. Assigning a category based on a detailed description
By narrowing the expected output, you reduce ambiguity and variance. That’s a critical factor for stable business automation, workflow optimization, and enterprise AI integration.
We unpacked more principles on the Triggre blog:
By narrowing the expected output, you reduce ambiguity and variance. That’s a critical factor for stable business automation, workflow optimization, and enterprise AI integration.
We unpacked more principles on the Triggre blog:
➡️ The guiding rule is simple: provide large, descriptive input and request a small, specific output.
This dramatically improves reliability in real-world use cases. For example:
1. Scoring a profile on a single attribute from 0–10
2. Extracting a small set of fields from a long document
This dramatically improves reliability in real-world use cases. For example:
1. Scoring a profile on a single attribute from 0–10
2. Extracting a small set of fields from a long document
December 18, 2025 at 9:15 AM
➡️ The guiding rule is simple: provide large, descriptive input and request a small, specific output.
This dramatically improves reliability in real-world use cases. For example:
1. Scoring a profile on a single attribute from 0–10
2. Extracting a small set of fields from a long document
This dramatically improves reliability in real-world use cases. For example:
1. Scoring a profile on a single attribute from 0–10
2. Extracting a small set of fields from a long document
Large language models (LLMs) are probabilistic by nature. They do not behave deterministically, which means outputs can vary and occasional inaccuracies are inevitable. Instead of trying to eliminate this behavior, strong AI implementations are designed to work with it.
December 18, 2025 at 9:15 AM
Large language models (LLMs) are probabilistic by nature. They do not behave deterministically, which means outputs can vary and occasional inaccuracies are inevitable. Instead of trying to eliminate this behavior, strong AI implementations are designed to work with it.