لمحة عامة
A major regional bank operating in a highly regulated environment had been using a legacy process intelligence platform to support operational analysis across core banking, onboarding, and compliance processes. While the platform provided basic process discovery, it became increasingly misaligned with the bank’s evolving needs around AI, security, scalability, and real time operational management.
The challenge
Five gaps the legacy platform could not close
Basic process discovery was no longer enough. As the bank added business units and use cases, the existing platform created friction in five areas at once.
No AI intelligence
The bank needed advanced AI and machine learning capabilities to automatically surface insights, detect anomalies, and proactively highlight risks or improvement opportunities.
Deployment constraints
The platform did not fully support on premises deployment in a way that met the bank’s internal security and data residency requirements.
Cost barriers to scale
Licensing and infrastructure costs increased significantly as additional business units and use cases were added, limiting broader adoption.
Fragmented data integration
Limited ETL capabilities made it difficult to connect to a growing number of source systems, requiring manual work and third party tools.
Analysis only focus
The solution was largely restricted to retrospective process analysis, with no effective way to monitor KPIs and SLAs in real time.
The mindzie approach
What mindzie delivered
The bank replaced its legacy platform with mindzie, deployed inside its own environment, and connected its core banking, onboarding, and compliance systems through Data Designer. Four capabilities addressed the gaps directly.
Secure on premises deployment
mindzie runs inside the bank’s own infrastructure, so process data never leaves the environment and internal security and data residency requirements are met without exceptions.
Affordability and scalability
A licensing model that does not penalize growth let the bank extend process intelligence to additional teams and business units without the cost escalation it faced before.
Integrated ETL and broad connectivity
Data Designer connects to the bank’s source systems and builds event logs inside the platform, removing the manual work and third party tools that fragmented data integration required.
Real time KPI and SLA monitoring
Process Monitoring and AI Predictions track critical SLAs across onboarding and lending as cases run, so the bank moved from retrospective analysis to live operational management.
Results
Measurable improvements within months of deployment
The transition to mindzie enabled the bank to shift from reactive, retrospective analysis to proactive operational management.
The outcome
By replacing its legacy process intelligence platform with mindzie, this major regional bank gained a secure, scalable, and affordable solution that aligned with its regulatory environment and growth strategy. mindzie now serves as a foundation not only for process analysis, but for real time operational intelligence across the organization.
