Process Intelligence Audit · Free Download

Your orders start in Outlook. Your ERP sees half the story. We see all of it.

Everything that happens between your customer's email and your ERP entry is finally visible.

Most OTIF breaches do not start in the ERP. They start in the inbox. This audit shows exactly where, how long each delay costs, and what fixing the highest-impact bottleneck saves.

Access a FREE Process Intelligence Audit
  • Real enterprise data audit
  • No demo required
  • Sent instantly
Claims Process Optimization
Order-to-cash Streamlining
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Inside the report

This is what we found in a real operation.

Not a benchmark. A real audit on real order data, sanitized but not simplified, with specific recommendations and expected savings per fix.

Process fragmentation invisible in SAP

How 4,514 orders produced 1,314 unique process paths, and why traditional ERP reporting makes this invisible until it becomes a customer complaint.

1,314 process paths across one operation

Bottleneck analysis with time costs per loop

Six bottlenecks mapped with median duration, case volume, and downstream impact. The Technical Spec loop alone adds 14h 9m per return cycle.

14h 9m added per rework cycle

AI model predictions on your classification data

How Tekst classifies every order topic, language, and business unit automatically, and what that means for routing accuracy before any automation runs.

+90% classification accuracy on live data

Five prioritized recommendations with expected savings

What to fix first, what each fix saves, and the configuration change required. Including 300 planner hours recovered from automating one process.

300h recovered from one automation
Free download

Download the order-to-cash audit report

  • What a week-one process audit reveals that months of ERP reporting missed
  • Why the manual work lives in the inbox, not the system
  • What recoverable hours look like before a single tool is deployed
  • How to sequence automation by impact, not by gut feel
  • What to show your leadership team when the case for change needs data behind it
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