Case studies
Each example shows the starting problem, Monic’s role, delivery scale, technology context, and result.
Automotive · workflow automation
Automated generation and delivery of password-protected employee documents from an established enterprise workflow.
Insurance · data engineering
Re-engineered established insurance data-processing jobs to improve throughput by at least 50%, stability, maintainability, and production operability.
Automotive · document intelligence
Used UiPath document understanding to extract invoice and customs-form data, validate it against business rules, and generate structured pricing reports.
Enterprise data platform
A controlled migration of hundreds of ETL workloads and enterprise data assets from a legacy data lake to HPE Data Fabric Software.
Power & utility · business intelligence
Designed the data marts, ETL flows, and IBM Cognos dashboards needed to support management reporting across multiple business units.
Telecommunications · system migration
Replaced ageing storage and ETL components while improving data workflows, business rules, validation, and production performance.
Insurance · change data capture
Established full-load and incremental data flows from legacy systems, with data-quality remediation, testing, monitoring, and production support.
Credit bureau · data replication
Implemented production replication and streaming from an AIX DB2 estate into modern DB2, Cloudera Hadoop, and AWS targets.
Automotive · excise automation
Connected API-driven input and return flows with template-based file generation and portal submission in a controlled UiPath workflow.
Automotive · financial workflow automation
Automated deadline communications, personalised templates, submission validation, consolidation, and controlled loading into an enterprise data warehouse.
Manufacturing · data migration
Profiled, cleansed, matched, and validated complex ERP data across a 20-country SAP migration programme using reusable data-quality rules.
Financial services · cloud data integration
Modernised established ETL pipelines with Informatica IDMC through dependency analysis, data-quality controls, testing, and business validation.
What each case study includes
Judge the work by what changed.
Each case explains the starting problem, Monic’s responsibility, delivery scale, technology context, and outcome—without exposing the client’s identity.
Start with the work
We will help determine whether the right next step is data engineering, migration, automation, or a focused AI pilot.