AI Lab: practical breakdowns of AI, automation and digital products
We write about where technology genuinely helps a business: how to choose an AI scenario, why automation starts with the process, what integrations are for and how to build digital products without needless complexity.
Categories
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Artificial intelligence
AI assistants, RAG, AI agents, support, documents, human-in-the-loop and quality assessment.
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Automation
Processes, manual operations, back office, CRM scenarios, notifications, tasks and status logic.
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Digital Products
Websites, web services, client portals, MVPs, UX, product logic and launch.
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Integrations & Data
APIs, CRM, data exchange, dashboards, logs, statuses, errors and observability.
Where to start
Where to start when you already have a task but are not sure what shape it takes.
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How to tell whether your business needs AI
AI should not begin with choosing a model. The right question is where your team does repetitive knowledge work every day that could be sped up without losing control.
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Why an AI project starts with the process, not the model
Most failed AI projects break not because the model was weak but because the process was never described.
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RAG in plain words
RAG lets AI answer from the company’s own documents and sources instead of generating text out of thin air.
Have a topic you want unpacked on your own process?
Describe the task: support, CRM, documents, reports, integrations or automation.
Discuss your task