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Insights

Practical thinking on AI, automation, and business technology

Written for business owners and operators — no jargon, no hype, just what works and how to decide.

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AI

Where AI actually saves time in a business — and where it doesn't

AI is excellent at reading, classifying, summarising, and drafting. It is poor at judgement calls without clear rules. A practical map of which operational tasks to automate first, and which to leave with your team.

Automation

The hidden cost of manual processes

A task that takes ten minutes, done thirty times a week, consumes over three working weeks a year. How to calculate what your manual processes really cost — and how to decide which to automate first.

Software Engineering

Custom software vs. off-the-shelf: a decision framework

Off-the-shelf tools win on speed and price — until your process stops fitting them. The questions that reveal whether workarounds are costing you more than a custom build would.

AI

AI agents in operations: what works today

Beyond the hype: the agent patterns that reliably deliver value in 2026 — triage, enrichment, monitoring, drafting — and the guardrails every production agent needs.

Business Technology

Why integrations fail — and how to make them stick

Most integration problems are process problems in disguise. What to standardise before connecting systems, and how to design integrations your team will still trust a year later.

Automation

Start small: the case for automating one process at a time

Big-bang automation projects fail more often than they succeed. Why a single well-chosen workflow is the right first project, and how early wins fund the rest of the roadmap.

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