Customer story · Wood industry

Assiku Puit: from reporting to decision-making.

Manufacturers have collected production data for decades. Yet for many managers, the first hour of every morning still means opening reports, asking questions and working out what happened yesterday. For Assiku Puit, that routine has changed.

Assiku Puit · Four months with Normalic

Decisions before data collection.

Every morning at 07:30, CEO Jargo Jürgens receives a summary of yesterday’s production. Instead of raw numbers, it highlights abnormal events, explains likely root causes and proposes the actions that deserve management attention.

Technical downtimeDeviations from normal operation are flagged automatically, so maintenance talks start with a clear view of where to look.
Realistic planningProduction is planned on years of historical execution data, improving schedule reliability when trucks are waiting for finished products.
Management capacityRoutine analysis has largely disappeared. The AI assistant also tests ideas and hypotheses against the company’s own production history.

“I no longer spend my mornings analysing spreadsheets or asking people what happened. The reasons are already there, so we can immediately focus on solving the right problems.

4 monthsin active use07:30daily decision briefNextorganisation-wide rollout

How the work changed

Production data used to describe what had already happened. Today it is used to identify operational risks before they become recurring issues. Whenever production deviates from normal operating conditions, Normalic identifies the event and brings it to management’s attention, so maintenance discussions start the next morning with a clear understanding of where attention is required.

“Historically we’ve often been too optimistic in our planning. Sometimes the truck was waiting while production was still running. Using historical data allows us to plan much more realistically.”

For Jürgens, the largest benefit is neither reporting nor planning. It is management capacity. Routine analytical work has largely disappeared, and leadership can focus on operational improvements instead of searching for information.

“I don’t like repetitive work. Technology should eliminate routine wherever possible. Today I spend my time leading the business instead of chasing data. Hiring someone to produce reports is expensive, people take holidays or become sick. Normalic works every day.”

Beyond reporting, the AI assistant has become a discussion partner for testing operational hypotheses, validating ideas and exploring alternative decisions. After only four months, Assiku Puit is preparing to make Normalic available across the whole organisation.

“We’re very close to rolling Normalic out to the entire team.”

The competitive advantage of AI is unlikely to come from producing more dashboards or reports. It comes from reducing the time between data, understanding and action.

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Assiku Puit: from reporting to decision-making.

Decisions before data collection.

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