mpmX (Mehrwerk Process Mining)
by MPMX GmbH (Mehrwerk) · Process Mining
AI-driven process mining and working-capital optimization platform, SAP-rooted, multi-ERP.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
SAP
Oracle
Microsoft DynamicsInforProAlphaSAP AribaCoupa- Deployment
- Cloud, On-premise, Hybrid
- Company size
- Mid-market, Enterprise
- Pricing
- Quote-based for full enterprise licensing; published fixed pricing for its scoped pilot program
- Headquarters
- Karlsruhe, Germany
Overview
mpmX is a process intelligence (process mining) platform built by MPMX GmbH (formerly Mehrwerk GmbH), a Karlsruhe, Germany-based vendor that grew out of SAP and business-intelligence consulting work in the German mid-market. The company was acquired by European technology investor Fortino Capital in July 2025; the product was previously developed under IT services group Netgo Group. mpmX has been named a Leader in the Gartner Magic Quadrant for Process Mining Platforms for three consecutive years (2023-2025) and in the Forrester Wave for Process Intelligence Software (Q3 2023).
The platform reconstructs digital 'process twins' from ERP and source-system event data, pulling purchase-to-pay, order-to-cash, production, claims and audit processes into associative, object-centric models originally built on Qlik's associative engine and increasingly deployed natively on Snowflake and Databricks. Prebuilt connectors cover SAP, Oracle, SAP Ariba, Coupa, ProAlpha, Microsoft Dynamics and Infor, and mpmX markets dedicated solution templates for working-capital optimization, procurement, insurance claims, and audit/governance/internal-control monitoring. Beyond dashboards, mpmX layers AI agents on top of the process twin that can take corrective action directly, such as placing payment blocks, escalating overdue items, or routing approvals, rather than only surfacing findings for a human to action manually.
mpmX reports serving over 100 enterprise customers, including Commerzbank, E.ON, Siemens Healthineers, Telenet, Infineon and several German public health insurers; a July 2025 acquisition announcement cited 150+ enterprise customers across 10+ countries. It sells a fixed-scope, paid 'Working Capital Trial' pilot with published monthly pricing alongside standard quote-based enterprise licensing.
Screenshots & demo
Demo video from the vendor's YouTube channel. Screenshots sourced from MPMX GmbH (Mehrwerk).
Features & capabilities
Process Discovery & Analysis
Reconstructs a digital twin of ERP processes from event-log data to expose bottlenecks and their root causes.
- Associative and object-centric process mining (OCPM) built on Qlik's associative engine
- Automated process discovery and digital process twin construction
- Root-cause and bottleneck analysis across multi-step, multi-system processes
- Ad-hoc lead-time and cycle-time analysis between any two process events
- Handles high process-variant complexity (170,000+ variants in production insurance deployments)
- Self-service analytics for business users without dependence on IT/BI teams
AI Agents & Process Automation
Agentic layer that moves from dashboards to automated corrective action inside the process.
- AI agents that execute routines such as payment blocks, discount capture, inventory optimization and overdue escalation
- Automated approval routing and stalled-item escalation
- Natural-language querying over process/BI data via an automatic semantic layer
- Model Context Protocol (MCP) support for connecting external AI agents to mpmX data
- Query planning with hallucination-prevention validation
- Automated report generation and intelligent alerting
Working Capital Optimization
Purpose-built solution for freeing up cash tied up in procurement, production and sales processes.
- DPO (payment timing / discount capture) analysis and targets
- DIO (inventory) analysis to flag excess stock from disconnected processes
- DSO (receivables) analysis to identify internal collection bottlenecks
- Cross-process digital twin spanning procure-to-pay, production and order-to-cash
- Published pilot pricing with a 4-week-to-3-month scoped trial
Procurement & Accounts Payable Controls
Detects and prevents value leakage in purchase-to-pay processes.
- Early-invoice detection (invoice date vs. goods-receipt date comparison)
- Maverick-buying detection for purchases made outside approved channels
- Late-purchase-order detection (invoices arriving before their PO)
- PR-to-PO cycle-time monitoring and stalled-requisition escalation
- Prebuilt connectors for SAP, Oracle, SAP Ariba and Coupa
Audit, Governance & Compliance Monitoring
Automated control testing over ERP transaction data for audit and internal-control teams.
- Flexible creation of process key figures and risk indicators
- Automated detection of critical sequences (e.g., bank-account changes, goods-receipt timing)
- Segregation-of-duties / functional-separation conflict detection
- Reduced false positives through associative rather than purely statistical analysis
- Governed, self-service data models for auditor use
Data Platform & ERP Connectivity
Deploys natively inside a customer's existing data stack rather than requiring a separate data migration.
- Native, in-place deployment on Snowflake and Databricks (no ETL or data duplication)
- Native Qlik Sense Enterprise (QSEoW) and Qlik Cloud (QSaaS) integration
- Prebuilt connectors for SAP, Oracle, SAP Ariba, Coupa, ProAlpha, Microsoft Dynamics and Infor
- On-premises, cloud, and air-gapped deployment options
- Inherits existing platform security, SSO and access controls rather than duplicating them
Common use cases
- Auditing purchase-to-pay and general-ledger processes in SAP ERP for governance and internal-control violations
- Freeing up working capital (DPO/DIO/DSO) across procurement, production and sales in SAP, Oracle, Microsoft Dynamics, ProAlpha or Infor
- Detecting maverick buying, early invoice payments and late purchase orders in SAP, Oracle, SAP Ariba or Coupa
- Tracking manufacturing lead times, scrap rates and quality events across production stages (e.g., SAP plus CAQ/MES)
- Reducing insurance claims cycle time and flagging stalled or potentially fraudulent claims
- Building natural-language, self-service process analytics on top of an existing Qlik, Snowflake or Databricks deployment
- Running a fixed-scope, paid working-capital pilot to validate ROI before committing to an annual license
Strengths & considerations
Strengths
- Grew out of native Qlik-based associative process mining rather than a bolt-on to a generic BI tool, with deep roots in SAP-centric German mid-market/enterprise consulting
- Deploys natively inside a customer's existing Snowflake, Databricks or Qlik stack rather than requiring data migration to a separate platform
- AI agents that execute corrective actions (payment blocks, escalations, approval routing) rather than only surfacing dashboards
- Named a Leader in the Gartner Magic Quadrant for Process Mining Platforms for three consecutive years (2023-2025) and in the Forrester Wave for Process Intelligence Software (Q3 2023)
- Publishes fixed monthly pricing for a scoped working-capital pilot rather than only a quote-only enterprise sales cycle
ERP integrations
Core connector; case studies (CeramTec, E.ON) show production use on SAP ERP for manufacturing and audit/governance monitoring, including with CAQ/MES.
Procurement-specific connector for e-procurement/sourcing data.
Pricing
Published pricing applies to the 'Working Capital Trial' pilot: EUR 3,900-5,000/month covers full mpmX AI license access, 2 consulting days/month of customer success, up to 50GB data volume and managed cloud hosting, plus a one-time 5-12 consulting-day setup/integration fee. No lock-in; customers can transition to an annual license after the trial if KPIs are met. Standard full-platform enterprise licensing is quote-based. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- Cloud (managed SaaS) or customer-hosted on-premises, including air-gapped environments
- Languages
- English, German
About the vendor
- Headquarters
- Karlsruhe, Germany
- Ownership
- Private (acquired by Fortino Capital, July 2025; product previously developed under Netgo Group as Mehrwerk GmbH)
- Notable customers
- Commerzbank, E.ON, Siemens Healthineers, Telenet, Infineon, Linde, REWE, DZ Bank, AOK
Alternatives to mpmX (Mehrwerk Process Mining) in Process Mining
mpmX (Mehrwerk Process Mining) — frequently asked questions
Does mpmX integrate with SAP?
Yes. mpmX provides a prebuilt SAP connector and has published case studies (CeramTec, E.ON) showing production use on SAP ERP for manufacturing process transparency and audit/governance monitoring. It also connects to Oracle, Microsoft Dynamics, ProAlpha, Infor, SAP Ariba and Coupa.
Who is behind mpmX?
mpmX is built by MPMX GmbH (formerly Mehrwerk GmbH), headquartered in Karlsruhe, Germany. The company grew out of SAP and business-intelligence consulting work and was acquired by European investor Fortino Capital in July 2025, having previously operated under IT services group Netgo Group.
How is mpmX priced?
Full enterprise licensing is quote-based. mpmX also publishes pricing for a fixed-scope 'Working Capital Trial' pilot: EUR 3,900-5,000 per month for full platform access, plus a one-time 5-12 consulting-day setup fee, with no lock-in and an option to move to an annual license afterward.
What underlying analytics engine does mpmX use?
mpmX was originally built on Qlik's associative engine (Qlik Sense Enterprise and Qlik Cloud) and has since added native, in-place deployment on Snowflake and Databricks, so it can run without migrating ERP data to a separate platform.
Has mpmX been recognized by industry analysts?
Yes. mpmX has been named a Leader in the Gartner Magic Quadrant for Process Mining Platforms for three consecutive years (2023-2025) and was named a Leader in the Forrester Wave for Process Intelligence Software, Q3 2023.
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