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Process mining

Mindden Flow

Turn your processes into a competitive advantage.

−90%less time on reports
−60%fewer penalties
8AI agents
12vertical domains
The challenge

What it solves.

Data trapped in silos

Your information is scattered across ERP, CRM, CMMS and SCADA, with no unified view of the process.

Problems detected too late

Failures surface only once they have already caused damage, leaving no room to react.

Endless manual reporting

Hours go into manual reports that are outdated almost as soon as they're finished.

Documentation doesn't match reality

Documented processes don't match how work is actually carried out day to day.

What it does

Every feature, a business benefit.

Process discovery

Reveals how your processes actually run, without relying on outdated documentation.

Conformance analysis

Measures your compliance against the target model and flags every deviation.

Bottleneck detection

Pinpoints where work piles up so you can prioritize the highest-impact improvements.

Predictive analytics

Anticipates failures and remaining times so you can act before problems occur.

Dependency mapping

Surfaces hidden dependencies between activities and systems.

What-if simulation

Test change scenarios risk-free before rolling them out to production.

Automated executive report

Automatically generates executive PDF reports with AI-written narrative.

AI narrative

Turns raw data into clear actions and recommendations.

Specifications

The numbers, plainly.

Specialized dashboards24
Vertical packs12
AI agents8 (Discovery, Conformance, Bottleneck, What-if, Predictive, Dependencies, Narrative, Executive reporting)
MQTT connections10M+ (EMQX 5.8)
Data formatOCEL (canonical process-mining format)
IngestionReal time via Kafka (no XES/CSV files)
ConnectorsKafka, SCADA, OPC-UA, MQTT, REST APIs, databases
ConfigurationNew domains with no code (configuration file)
How it is deployed

From signature to production.

01

Data connection

Set up the connectors to your sources: SCADA, ERP, CMMS and databases. Around 2 days.

02

Automated analysis

The 8 core agents analyze your data with no extra configuration. About 1 day.

03

Actionable results

You get an executive dashboard with real-time KPIs and automated PDF reports, by around day 5.

Who it is for

A clear benefit for each role.

Finance

Fewer penalties and incidents and greater control over processes, with the visibility to anticipate deviations.

Operations

Cuts cycle times by up to 40%, with full visibility and analysis of 100% of your process events.

Executive

Scalability, data-driven decisions and a shift toward predictive operations.

Use cases

How it plays out in practice.

Finance · Purchase-to-Pay

A 7-step P2P process with 30% manual approvals. Flow pinpoints the controller as the 85% bottleneck, uncovers 12 real process variants and detects deviations automatically.

IT · ITSM

P1 incidents with a 22% SLA breach rate, 40% stuck in workarounds and an 8% change-failure rate. It reveals 60% dependency on a single vendor.

HR · Onboarding

A 14-day onboarding with 70% of IT provisioning delayed and 30% offboarding disputes. IT provisioning blocks 5 downstream activities.

Industrial maintenance

28% of repairs need out-of-stock parts, 10% require rework and 4% are diagnostic errors. It correlates failures with assets and suppliers.

FAQ

Everything you need to know.

How long does implementation take?

You connect your sources in 1-2 days; the 8 core agents analyze with no extra configuration (around 1 day), and by roughly day 5 you have the executive dashboard with real-time KPIs and automated PDF reports.

Do I need technical skills to add a domain?

No. Business analysts configure new domains with no IT involvement — it's a configuration file, no code.

Which data sources does it connect to?

SCADA, OPC-UA, MQTT, REST APIs and databases, in real time via Kafka. It normalizes everything to the OCEL canonical format, the process-mining standard.

How is it different from traditional process mining?

Real-time ingestion (not manual XES/CSV files), 8 AI agents including predictive analytics, AI-generated PDF reports, and 12 preconfigured vertical packs instead of custom development.