Our Core Service
Agentic Enterprise
Automation
Where traditional automation fails, we take over. AI agents that decide and orchestrate. RPA bots that reliably execute. For the processes that are too complex for rigid bots.
Trusted by over 120 companies
The Reality
Why 90% of automation stops far too early
Traditional RPA automates the simple steps. But most processes don’t consist of simple steps alone.
Exceptions stop the bot
A document has a different format. A field is missing. An approval comes from a different system. Traditional RPA breaks and escalates to a human – every single time.
Decisions require context
“Is this clause high-risk?” “Is this documentation sufficient?” “Which workflow applies here?” A rule-based bot cannot answer these questions.
Systems don't talk to each other
The process starts in SAP, continues in email, requires a document from SharePoint, and ends in a line-of-business system. Traditional RPA automates within a system, not across them.
How We Solve It
AI agents that decide. RPA bots that execute.
Agentic Automation doesn’t replace RPA; it makes RPA intelligent. AI agents handle decisions and orchestration, while RPA bots deliver reliable execution.
AI-Agents
Understand context, make decisions, learn from every iteration. Handle exceptions autonomously instead of escalating to humans. Orchestrate the entire process across systems.
RPA-Bots
Execute repetitive, rule-based steps quickly and error-free. Interact with any system – including legacy. Proven, stable, scalable. The muscle of automation.
Orchestration
AI agents decide which bot does what, when. Exception routing, prioritization, escalation – all automated. The entire process runs end-to-end, not task by task.
The Difference
What Makes Agentic Automation Different
Classic RPA
what others do
Document arrives
Structured data, known format
✓ OKRigid rule: If X → Do Y
Bot follows hard-coded path
✓ RunningException occurs
Unexpected format, missing data
⚠ IssueBot stops → escalation to human
Waiting for manual intervention
✕ StoppedSystem update → bot crashes
High maintenance costs, fragile code
✕ CrashOnly individual tasks automated
No end-to-end, no context
of a process automated
Agentic Automation
what we do
Document arrives - any format
AI understands context, classifies automatically
→ FlowingAgent analyses & decides
Understands context, routes intelligently
→ FlowingException? Agent resolves autonomously
Context-based decision, no stoppage
→ ResolvedEnd-to-end across systems
Orchestrating complete workflows
→ FlowingSelf-adapting to changes
Learns from every iteration, no crashes
→ AdaptedProcess completed end-to-end
Humans only for genuine exceptions
Straight-through processing
in practice
So sieht Agentic Automation in Aktion aus
Beispiel: Rechnungseingangsverarbeitung
Vorher Klassisches RPA
- Bot öffnet E-Mail
- Extrahiert PDF-Anhang
- Liest Standardfelder
- Scheitert bei abweichendem Layout
- Eskaliert an Sachbearbeiter
- Sachbearbeiter tippt manuell
- Buchung in SAP
40% automatisiert, 60% manuelle Nacharbeit
Nachher Agentic Automation
- AI-Agent empfängt Rechnung (E-Mail, Portal, Scan)
- Versteht Inhalt unabhängig vom Layout
- Prüft gegen Bestellung und Lieferschein
- Entscheidet: Freigabe, Rückfrage oder Eskalation
- RPA-Bot bucht in SAP
- Agent lernt aus Korrekturen
92% Straight-Through, 95% weniger Fehler, 8h → 45 Min
Use Cases
Which Processes Benefit from Agentic Automation?
Not every process needs Agentic Automation. But the processes that cost the most and frustrate the most almost always do.
Your process is a candidate if:
- It has many exceptions that are handled manually today
- It spans multiple systems (SAP, email, SharePoint, line-of-business apps)
- It requires contextual decisions (“Is this correct?”, “What rule applies?”)
- It has high volume, but no two cases are the same
- It ties up expensive specialists with repetitive work
- Traditional RPA has already been tried and hit its limits
Typical Results
What Our Clients Achieve
Classic RPA automates clicks. Agentic Automation automates decisions. That’s the difference between task automation and process automation.
Case Study: Invoice Processing
Incoming invoices were transferred manually between isolated systems — with no direct integration between the document inbox and the ERP. Staff extracted document data by hand, performed manual matching, and routed each order individually through the approval workflow. This resulted in high time expenditure, error-prone data entry, and delays across the entire accounts order process.
UiPath Intelligent Document Processing (IXP) with Document Understanding and LLM integration for automatic extraction and classification of invoice documents — with direct ERP connectivity. Rule-based matching, automatic exception handling, and seamless routing through the approval workflow. No manual intervention between inbox and posting.
Platform-Agnostic
The Right Technology for Your Process
We are a UiPath Diamond Partner and Microsoft Partner, but platform-agnostic. We choose the technology that fits your process, not our vendor relationship.
Proud Diamond-Partner of UiPath
Ready?
Do you have processes where traditional automation falls short?
Let’s assess together in 30 minutes whether Agentic Automation is the right approach for your most complex processes.
No sales pitch. Just an honest assessment.
120+ Clients. 100% Satisfaction. 7 months to Profitability.
WHAT YOU GET IN THE DISCOVERY CALL
Identify your best use cases
Based on your industry and process landscape
Calculate concrete ROI
In Euros, FTE equivalents and time savings
Show examples from your industry
Real results of comparable companies
Define timeline and next steps
Concrete roadmap, no vague promises
