The Process Is the Inbox: Why Process Intelligence Needs a Rethink

If you’ve ever seen a “perfect” process diagram, you know it rarely reflects reality. Boxes and arrows on PowerPoint slides are clean. Business operations? Not so much.

That’s because real work doesn’t happen in SAP. Or Salesforce. Or ServiceNow.

It happens in the inbox.

Customer complaints, order changes, quote approvals, invoice questions — they all start with an email. That’s the frontline of your business. And it’s exactly where Tekst starts too.

We Don’t Mine Logs. We Decode Conversations.

Most approaches to process intelligence rely on structured logs: system events, transaction IDs, time stamps. Valuable, yes — but also sanitized, incomplete, and one step removed from reality.

At Tekst, we flip the model.

Our AI plugs into your company’s inboxes (Outlook, GMail, shared mailboxes) and learns how your business actually runs. We follow the trail of messages, attachments, and people to map entire processes from start to finish. No need to wait for IT to set up connectors to 15 tools. No need for six months of log configuration.

If a process happens over email, Tekst sees it. And if it doesn’t — it probably isn’t a real process yet.

Context Is Everything

An ERP log can tell you when a PO was created. But it won’t tell you why it was delayed. Or how a customer escalated the issue. Or who spent four hours chasing internal approvals before it got booked.

Tekst captures that context.

Because our models are trained on the actual language your teams and customers use, we don’t just map the steps — we understand the friction between them. That lets us detect pain points like slow replies, unclear responsibilities, or high-effort handovers long before they show up in lagging KPIs.

From Insight to Action (Without the Data Overload)

Process mining shouldn’t be a report you read once a quarter. Where you need a whole team of data scientists and engineers to make it actionable. With Tekst, it’s continuous, embedded, and actionable for the start.

Our AI doesn’t just show you what’s broken, it fixes it.

  • Repetitive tasks? We propose an automation.
  • Missing information? We flag and draft the reply.
  • Noisy inboxes? We filter and route in real-time.

Why It Works

Because we start where work begins, in the inbox.

Because we don’t need clean data to find messy problems.

Because we believe every great process starts with understanding the people behind it.

Process mining doesn’t need more complexity. It needs more relevance.

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Automation Engineer @ Tekst