Agentic Process Automation
See how work really flows across your enterprise.
Get an X-ray of how work really flows between systems, teams, and people.
End-to-end visibility in days, not months at a fraction of the cost of legacy process mining. Get all the context you need before your automate with Agentic AI.
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The world’s leading enterprises can now automate with confidence.
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Most companies rush into AI agents without understanding the process behind the work. They rely on assumptions, outdated SOPs, or idealized process maps.
Tekst replaces guesswork with a factual, execution-level view of what happens today, not what was designed on paper. This clarity lets you improve the right steps and automate with confidence.
Tekst replaces guesswork with a factual, execution-level view of what happens today, not what was designed on paper. This clarity lets you improve the right steps and automate with confidence.
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Visibility Is Not Enough. Here's What You Actually Need.
Knowing where your process breaks is only half the job. Here's what actually closes the gap.
What it does
Time to value
From insight to action
Implementation footprint
Total cost
Best fit
Sees and acts. Maps processes from real work, then executes them with AI agents.
Weeks. Live on your existing systems. No data warehouse, no modeling project.
Closes the loop. Built-in agents handle exceptions, reroute work, and execute the next step.
Lightweight. Sits on top of SAP, Salesforce, email, and tickets. No extraction pipeline.
Subscription only. No implementation tax. No mandatory consulting partner.
Mid-market and enterprise Q2C and P2P teams ready to fix the process, not just chart it.
Sees only. Surfaces process inefficiencies. Your team still has to act on them.
6+ months. Requires a data warehouse, data modeling, and a consulting partner.
Insights only. Dashboards highlight issues. Acting on them is a separate project.
Heavy. Continuous ETL into a process warehouse. Schema modeling per use case.
License plus services. Enterprise license fees plus implementation and modeling services.
Large organizations with a dedicated data team and a multi-quarter timeline.
What it does
Sees and acts. Maps processes from real work, then executes them with AI agents.
Sees only. Surfaces process inefficiencies. Your team still has to act on them.
Time to value
Weeks. Live on your existing systems. No data warehouse, no modeling project.
6+ months. Requires a data warehouse, data modeling, and a consulting partner.
From insight to action
Closes the loop. Built-in agents handle exceptions, reroute work, and execute the next step.
Insights only. Dashboards highlight issues. Acting on them is a separate project.
Implementation footprint
Lightweight. Sits on top of SAP, Salesforce, email, and tickets. No extraction pipeline.
Heavy. Continuous ETL into a process warehouse. Schema modeling per use case.
Total cost
Subscription only. No implementation tax. No mandatory consulting partner.
License plus services. Enterprise license fees plus implementation and modeling services.
Best fit
Mid-market and enterprise Q2C and P2P teams ready to fix the process, not just chart it.
Large organizations with a dedicated data team and a multi-quarter timeline.
Scroll to see why Tekst wins
TIMELINE FOR COMPARISON: Enterprise process mining platforms average 6+ months to first insight - with automation and measurable ROI requiring an additional implementation phase on top. Tekst users are in their second automation cycle by then.
AI-native Process Intelligence
Process Intelligence adapts to every high-throughput workflow
Order Management
Case & Incident Management
Service & Support Operations
Cross-System Workflows
Process Explorer
Your processes, mapped automatically—without data engineering. Traditional process mining takes months of setup. Tekst reconstructs real process flows from existing system signals, letting you quickly explore variants, compare teams, and see where time and rework accumulate.
The Decision Layer
Process steps identified automatically across systems and channels. Tekst uses AI to detect and label the real activities happening in your workflows—no manual modeling or logging required. This turns operational noise into structured data, showing where time is spent, where loops occur, and which steps drive the highest cost.
Unified Tracing
Every step connected into a single, end-to-end flow. Enterprise work spans multiple systems and channels. Tekst links identifiers, references, and actions across tools to create one continuous process trace—from first trigger to final completion—giving you visibility across system boundaries that traditional mining tools miss.
How Tekst is Different from Celonis
10x faster at a fraction of the cost.
Faster to Insight
While legacy tools require heavy integration and consultancy before value appears, Tekst delivers full process visibility in under 10 days. Instead of waiting for IT to prepare structured logs, Tekst reconstructs the flow immediately.
More Affordable
Process mining platforms often cost hundreds of thousands of euros before any insight is generated. Tekst operates at a fraction of that price, without per-seat licenses, mandatory SI projects, or custom modeling.
Safer & Minimal Footprint
Traditional mining centralizes large volumes of historical data in warehouses, increasing your risk surface. Tekst uses a streaming-first architecture with minimal storage—designed for GDPR compliance and enterprise-grade governance from day one.
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From Intelligence to Action
The foundation for Agentic Process Automation
Process Intelligence doesn’t just show what’s happening, it reveals where automation will create the greatest leverage. The same activity-level understanding and unified message-to-system tracing feed Tekst’s Agentic Automation layer.
This means you move from fact-based insights → targeted automations → measurable improvements, all within the same platform. No handovers, no re-implementation, no new modeling.
See Exactly Where Your Process Bleeds
Get a full Process Intelligence Audit Report to see where exactly improvements and automation opportunities exist, delivered in under a week.
Process map with variant fragmentation analysis
OTIF adherence & bottleneck identification
Agent workload distribution insights
Top automation opportunities ranked by priority
Classification activities and AI model predictions
Concrete recommendations with expected operational impact
