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Enterprise Agentic AI
Enterprise AI that earns its autonomy — for healthcare.
Mantix Platform Architecture — Observe · Learn · Automate
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The Problem
80% of enterprise workflows exist only in the UI — invisible to any AI agent. Today's tools guess at logic, break on edge cases, and bypass native permission models. You cannot automate what you cannot see. Mantix observes first, automates second.
Workflow Prior Layer
While the industry optimizes the model layer, enterprise AI remains bottlenecked by a lack of environmental grounding. Mantix introduces the critical missing infrastructure: Workflow Priors.
By natively encoding the operational reality of your business into a structural Process Graph, we ensure autonomous agents navigate complex SaaS environments deterministically and safely.
Workflow Priors
The foundational primitive for autonomous systems. We provide the accumulated operational priors required to constrain unbounded behavior and navigate complex enterprise software deterministically.
Production-Grade Robustness
Where legacy automation fails on edge cases, Mantix executes deterministically. We minimize out-of-distribution actions by conditioning agents strictly on the structural workflows of your organization.
Compounding Structural Advantage
Every successful execution refines the latent process model. This accumulating empirical data creates a compounding structural advantage over disjointed tools and ungrounded architectures.
How It Works
"We don't automate what we don't understand."
A lightweight snippet captures every UI state and action across any enterprise application. Works with any stack — Java, React, Angular, web & desktop etc.
No backend changes · No API · Live instantlyReal interactions build a machine-readable process graph — a weighted structural map of how your application actually works, including every exception.
AI-ready process specification for every workflowThe process graph powers agents that turn accumulated knowledge into deterministic action, creating new ways to interact with existing software within trusted boundaries.
Deterministic execution · Stays within known boundariesWhy Mantix
Most enterprise AI tools are cloud-based overlays that guess at your workflows. Mantix takes a fundamentally different approach.
Unlike generic agents that "blindly" guess UI logic, Mantix has native visibility into real human workflows, capturing every interaction natively before acting.
Earned and Safe · No guessingWhile brittle execution fails on branching logic, Mantix builds a structural process model mapped from actual user interactions for resilient, deterministic action.
Resilient by design · Zero brittle executionSafety shouldn't be bolted on. Every action Mantix invokes is guarded by enterprise-approved boundaries, protecting permissions and trust at the UI layer.
Permission-native · Trusted boundariesSee It In Action
Watch Mantix integrated into open-source software projects.
Seamlessly traversing complex enterprise UI structures and workflows.
Context-aware data entry and validation across legacy and modern forms.
Autonomous mapping of application capabilities and hidden logic.
Seamlessly integrated orchestration with human-in-the-loop support.
Demo 01 · ERPNext
Full ERP system providing workflows for finance, inventory, HR, and operations
Demo 02 · OpenMRS
Electronic medical record system providing workflows for patient management, clinical data, and reporting
Demo 03 · PetClinic
Veterinary clinic app providing workflows for managing owners, pets, visits
Customers
Proven in production. Pilots active with Intervista AG (live deployment).
“With Mantix we have a flexibly adaptable AI assistant we can give additional knowledge to without any complications — without having to adapt our web content. We react quickly to feedback and continuously optimise customer communication.”
“Mantix turned our website into a real dialogue platform. Instead of rigid FAQs we now offer interactive, context-based answers — automatically, around the clock. The integration was surprisingly simple, and the results speak for themselves.”
“Our rule-based processes now connect seamlessly with free, unstructured communication. The AI-based assistant recognises customer needs and routes them automatically to structured processes — a convincing approach and a partnership with prospects.”
Competitive Landscape
Every category of enterprise AI tool misses at least one critical capability. Mantix is the only solution that covers all seven.
| Task Automators UiPath, Zapier |
Big Tech Co-Pilots MS Copilot, SAP Joule |
Orch. Backends LangChain, CrewAI |
Vertical Agents Salesforce, ServiceNow |
Mantix | |
|---|---|---|---|---|---|
| Structural process model | ✕ | ✕ | ✕ | ▲ partial | ✓ |
| Native UI integration | ▲ partial | ✕ | ✕ | ✕ | ✓ |
| Process learning over time | ✕ | ▲ partial | ✕ | ▲ partial | ✓ |
| EU data sovereignty | ▲ partial | ✕ | ▲ partial | ✕ | ✓ |
| White-label capable | ✕ | ✕ | ✓ | ✕ | ✓ |
| Live in days, not months | ✕ | ✓* | ✕ | ✓ | ✓ |
| Platform agnostic — any stack | ▲ partial | ✕ own ecosystem only | ✕ | ✕ | ✓ |
* Limited to own ecosystem only
The Team
Co-Founder & CEO
Co-founded SAP’s first enterprise AI unit in 2014 — years before the market understood what that meant — and built the Leonardo ML Foundation, SAP’s AI platform serving thousands of global organizations. As VP AI Technology, he shipped production-grade AI at a scale few startups ever reach before founding their own company. A recognized authority on responsible AI governance: EU Commission Expert, German Enquete Commission on AI, and Bitkom AI Council member.
Co-Founder & CTO
Director of Enterprise AI Research and former SAP Distinguished Scientist. Holds a PhD from TU Munich and conducted advanced AI research at Harvard and MIT. Expert in NLP, tabular data, and agentic AI architecture. Member of the European Laboratory for Learning and Intelligent Systems (ELLIS).
Insights
Explore our thoughts on the economic logic and architectural layer defining the next era of enterprise AI.
They learn the manual. They never get to day two.
The replacement is not a better suite. It is a different logic entirely.
Every platform era has a piece of infrastructure that becomes obvious only after someone builds it. For agentic AI, that moment is now.
Research
Our founders have published two whitepapers on the agentic enterprise — one on the economic and architectural impact of autonomous AI agents, and one on the fundamental challenge of context alignment in agentic UI systems.
Whitepaper · arXiv:2602.21401 · February 2026
The Headless Firm: How AI Reshapes Enterprise Boundaries
Vision Paper · cs.AI · February 2026
Position: Context Alignment Is a First-Class Learning Problem in Agentic UI
Get Started
No backend changes required. Integrates with any existing enterprise application. Any stack — Java, React, web & desktop etc.
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