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See why a process gets stuck, with the evidence
A process intelligence platform that brings together process mining, modeling and monitoring, with AI-written reports based on the data your systems already store.

What mindzie is
Process mining, modeling and monitoring on a single platform
mindzie describes itself as a process intelligence platform: the process you design and the one that actually runs live in the same place, and AI writes up what is slowing down each cycle.
Process mining
Discovers the real flow from ERP records: every case, variant, bottleneck, rework loop and exception.
Object-centric mining
Follows work across related orders, invoices, shipments and claims, in a single project.
BPMN 2.0 modeling
Designs and documents the expected process and compares it with how it really runs.
Task mining
Captures activity on computers to see the manual, repetitive work that systems don't record.
Monitoring and prediction
Watches processes live, SLAs and compliance, and anticipates stuck cases before they escalate.
Simulation
Tests a process change and measures its effect on cycle time, workload and resources before implementing it.
AI reports
New in 2026: it answers in plain language with the finding, the improvements ranked by impact and the cases behind them.
Context for AI agents
Gives agents and copilots the real rules, approvals and SLAs of the process, so they don't have to guess.
What it looks like
The answer first; the map is the evidence

01
Ask
Type the question you would ask an analyst: “why are this plant's orders invoiced late?”

02
Get the report
mindzie loads the data, applies your business rules and writes up the biggest delays, their causes and the improvements by impact.

03
Review the evidence
Each finding links to the real cases and the process map, for anyone who wants the detail.
Results
What mindzie has achieved in operations like yours
35%
less invoice cycle time and 20% fewer duplicate payments in six months, at a global shared services organization operating in 40 countries.
−12 days
of DSO and 35% less in the invoice approval cycle at a financial services center of a Fortune 500 company.
14 → 4,1
days to open an account: what a bank achieved by seeing where its client onboarding process was stalling.
4 de 5
user rating on Gartner Peer Insights (27 reviews, January 2026).
Cases published by mindzie, with anonymous clients. Sources: mindzie.com and mindzie cases for finance and shared services.

Your data, your rules
Wherever you need it, with the AI you choose
- In the cloud, as a managed service.
- On your own servers, when policy or regulation requires it.
- On the desktop, for a one-off diagnosis with no infrastructure.
- The AI: mindzie's own, the provider your company has already approved or a local model that never leaves your network.
What do we use it for at EXYGE?
The questions it answers
We use it as a diagnostic and follow-up instrument, with your own data.
How does the process really run, not the one on paper?
Where does it get stuck, how long does each step take and how much rework is there?
Are SLAs and controls being met, or are there deviations nobody sees?
What would happen to the cycle if we changed a step? With historical data it can be simulated.
How do we implement it?
From data to diagnosis
01
We extract the records
From the ERP and the systems you already use: SAP, Oracle, Dynamics, NetSuite and others.
02
We rebuild the process
The digital twin of the operation, with its variants and bottlenecks.
03
We find the causes
With your team: rework, delays, deviations and controls that fail.
04
We measure the improvement
Indicator dashboards and alerts to follow the process after the change.
In which solutions?
Where does mindzie come in?
Capacity and workloads
Using ERP records and computer activity, it reveals where the time goes and where the capacity bottleneck is.
Finance operations and shared services
Shows how each cycle really runs (O2C, P2P, R2R) and whether the shared services center meets its SLAs.
Modern controllership, risk and compliance
Monitors SLAs and controls live, and flags deviations before they become audit findings.
Do you know how your process really runs?
Let's talk for 30 minutes about the data you already have to find out.
