The incident lifecycle: before and after AI

Six stages. Two realities. One page.

From the moment an incident occurs to the point where a pattern should be recognised, your investigation process either catches it or misses it. This infographic compares the full lifecycle stage by stage, showing where manual processes break down and what changes with Mazlan.

Reporting: a 23-field form averaging 30 minutes and 94% abandonment compared with conversational AI capturing a complete report in two minutes
Root cause analysis: surface-level findings from fragmented attention compared with AI-surfaced contributing factors from complete cross-site data
Corrective actions: generic actions drafted from scratch in 3+ hours compared with targeted resolutions based on proven outcomes, reducing creation time by 87%
Pattern recognition: invisible cross-site connections compared with automatic escalation detection that flags emerging risks before they result in injuries

See where your investigation process breaks down and what changes with AI

Six stages compared side by side. Every metric sourced from Ideagen research. Designed to be shared with your team, attached to a business case or used in a leadership meeting. For the full analysis behind the numbers, read The Investigation Illusion white paper.

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“

They are extraordinarily valuable. But there's not very many of them, and there's dozens of sites, hundreds of reporters and potentially thousands of incidents and near misses every year. They can't be everywhere at once. So most reporters are never going to get that expertise when they need it.

Krystal Truax, VP Product Management, Ideagen

Find out if your investigation process has structural problems

Download the 7 red flags checklist. One page. 90 seconds. If three or more apply, you will know your investigation program needs more than training to fix.

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