Which process is worth automating?
The best candidate is frequent, repeatable, measurable and has stable input. If the team interprets the task differently every time, organise the process first.
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Insights / AI, automation and data
Where a model adds value, where a rule is enough and how to control automated decisions.
Articles in this topic
Published in AI, automation and data
Focused reading
One topic. The context needed to make the next move.
Explore the mechanisms, limitations and practical decisions connected with this area.
No English article has been published in this topic yet.
Decision questions
Answer first. Then mechanism and boundary conditions.
How do you build RAG with source control?
Every answer should identify a document and version. Retrieval quality must be measured separately from model output. No source is a valid result, not a reason to guess.
When does an agent need human approval?
When a decision is costly, irreversible, involves sensitive data or moves outside a well-defined scope. Automate work without hiding responsibility.
Signals that the topic needs attention
The symptom does not yet reveal the cause.
The team repeatedly searches for the same information.
Inputs are scattered across documents and systems.
Manual classification consumes time but follows clear criteria.
The model sounds fluent without a reliable source.
Related capability
AI, automation and data
S.04 / ContactQuestion / AI, automation and data
Put this mechanism in the context of your business.
Describe the decision, the available evidence and what remains uncertain. We will separate a useful next step from a premature investment.
- 1Conversation scopeCurrent step
- 2Context
- 3Budget and timing
- 4Contact
We respond with a concrete recommendation by the end of the next business day.
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