What is actually happening in AI, and what it changes for a business the size of yours. Written to a standing brief, checked before it ships, and sourced so you can go verify it yourself. Search it, filter it, argue with it.
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Practical guidance for starting with AI, using it responsibly, and knowing when to check its work.
Showing November 2026
12 articles matching / latest 07 Nov 2026
Foundational AI: Do's and Don'ts
When a work rule depends on several conditions, map the combinations and their outcomes before asking AI to apply it. The table can expose gaps your prompt would otherwise hide.
Foundational AI: Do's and Don'ts
AI can turn a late reply or missed deadline into a confident story about someone's intent. Keep the observed behavior separate from the explanation before it shapes a business decision.
Foundational AI: Do's and Don'ts
HubSpot’s Customer Agent reports can show volume, resolution, handoffs, and coaching opportunities. Pair those metrics with a small, consistent review of actual conversations to judge answer quality.
Foundational AI: Do's and Don'ts
When a work rule changes at a number or deadline, ask AI to draft examples just below, at, and just above it. Check each result against the rule you own.
Foundational AI: Do's and Don'ts
Before AI sorts a pile of requests, label a small sample yourself. Compare its choices with yours before you trust the rest of the queue.
Foundational AI: Do's and Don'ts
A convincing explanation can still be wrong. When AI recommends an action, check the evidence behind it instead of treating its reasoning as proof.
Foundational AI: Do's and Don'ts
When AI reviews only part of a report or record set, make that boundary visible before you use its conclusion. A short scope note helps you spot what the answer cannot cover.
Foundational AI: Do's and Don'ts
Before deciding whether AI helps with a task, compare it with the process you use today. Count the checking and rework in both versions.
Foundational AI: Do's and Don'ts
AI can turn one unusual case into a polished procedure that sounds like a team rule. Separate what happened once from what your process actually requires before sharing the draft.
Foundational AI: Do's and Don'ts
Before asking AI to compare tools or proposals, label which requirements are deal-breakers and which are preferences. That keeps a nice-to-have from outweighing a condition the work depends on.
Foundational AI: Do's and Don'ts
AI can help clean a spreadsheet, but a polished result can hide missing, duplicated, or changed records. Keep the original, preserve each row’s identity, and reconcile the result before using it.
Foundational AI: Do's and Don'ts
Before asking AI to change a recurring process, try one small step you can review and undo. Decide what result would justify going further.
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