Insights

Notes from the humans (and agents) at INQI LABS

Practical guides on AI agents, automation, data and analytics, written by the people who build them.

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AI agents7 min read

Your first AI agent: how to pick a workflow worth automating

A simple scorecard for finding the one process that's boring, frequent and safe to hand to an agent first.

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AI agents6 min read

Human in the loop: where people should stay in charge

Approvals, escalations and audit trails: the checkpoints that keep agents useful and trustworthy.

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Data5 min read

Clean data first: why agents stumble on messy tables

Most agent failures start in the data layer. Here's the checklist we run before any build.

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All posts

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Retail8 min read

A field guide to retail shrink analytics

Which signals actually predict loss, and how to get them in front of store teams in time to act.

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Analytics9 min read

Power BI, Tableau or Qlik? Picking a BI tool in 2026

An honest comparison from a team that builds on all three, plus where AI assistants fit in.

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Data7 min read

From spreadsheets to a lakehouse in 90 days

The phased plan we use to move reporting off spreadsheets without stopping the business.

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AI agents6 min read

Testing AI agents before they go live

How we build evaluation sets from your real examples, and what “good enough” looks like.

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AI8 min read

What a good setup for searching internal docs looks like

Chunking, permissions and citations: the parts that make answers people can trust.

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Cloud5 min read

Cloud costs: five quick wins for data teams

Small changes to storage, scheduling and warehouses that usually pay for themselves in a month.

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