The Problem in Controlling

Controlling departments are the nerve center of a company. They ensure that figures are not only recorded but also understood. But this is precisely where the challenge lies:

• Data is scattered across ERP, CRM, Excel sheets, or data warehouses.

• Reports need to be requested, created, and maintained manually.

• Spontaneous questions in meetings often remain unanswered because the data has to be painstakingly collected and processed.

The reality: Instead of shining with analyses and recommendations for action, many controllers spend the majority of their time collecting, cleansing, and reconciling data.

How Scavenger AI Changes Controlling

Scavenger AI reverses this pattern. Controllers can query data independently, without IT or BI know-how. They simply formulate their questions in natural language and receive precise answers in seconds – in the form of tables, charts, or reports.

Examples:

• "How are the cost centers developing compared to last year?"

• "Which projects have the largest budget deviations – and why?"

• "How has EBIT developed in the last quarter, broken down by regions?"

• "What investments have been made in the last 6 months?"

The catch: Scavenger automatically writes the optimal code in the background – like an experienced analyst – and delivers results immediately.

Why This is a Gamechanger for Controllers

For controllers, this means: Finally, less Excel clicking, less data chaos, and more focus on the core of the work – analysis, interpretation, and control.

Deviation Analyses in Real Time

A classic example: the deviation analysis.

• So far: Effort with actual vs. target comparisons in Excel, often delayed and with a high need for coordination.

• With Scavenger: Just ask – "Show me the largest deviations in the cost center report for August, including causes" – and the result is available in seconds.

This way, deviations can not only be recognized faster, but also communicated and addressed immediately.

More Value Creation, Less Routine

• Routine tasks such as manually creating standard reports are eliminated.

• Controllers gain time for consulting and strategic analyses.

• Spontaneous ad-hoc questions in meetings can be answered immediately – without follow-up work.

This significantly increases the value contribution of controlling: from "number supplier" to a true business partner.

Benefits for Management

Controlling becomes even more valuable for management with Scavenger AI:

• Decisions are based on current figures, not on reports from last week.

• Deviations and trends are recognized in a timely manner.

• Executives can directly ask data questions in dialogue with controllers – and get live answers.

Conclusion: Rethinking Controlling

Scavenger AI turns controllers into data-driven decision partners.

• For controllers: Less time spent on data collection, more time for analyses and deviation management.

• For management: Faster, better decisions based on current figures.

The result: A controlling process that doesn't reactively chase after data but proactively manages it.