Data & AI

Turn scattered business data into trusted finance intelligence

Connect, transform and govern financial and operational data in a shared semantic model – creating a reliable foundation for reporting, analytics, automation and AI.

 

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THE FOUNDATION

Build a trusted data foundation for finance

Finance depends on data from ERP systems, operational platforms, spreadsheets and specialist applications. But when data is fragmented across systems, differently structured and manually transformed, reporting becomes slow, reconciliation becomes difficult and insights become harder to trust. Solitwork Data & AI brings financial and operational data together in a governed finance intelligence layer. Data is integrated, transformed and organised through shared semantic models that define how the business measures and understands performance.

Connect data across systems

Integrate financial and operational data from ERP platforms, business applications, spreadsheets and other relevant sources - without replacing the systems your organisation already depends on.

Transform into a common structure

Clean, map, standardise and enrich data through transparent and reusable rules. Align accounts, entities, currencies, dimensions and operational drivers.

Enable finance, analytics and AI

Provide governed and analysis-ready data to finance teams, reporting platforms and AI solutions using the same trusted structures.

Govern definitions and logic

Manage financial definitions, KPIs, hierarchies and calculations centrally. Make data origins, transformations and applied rules transparent.

GOVERNANCE BEFORE AI

AI readiness does not begin with an algorithm.

It begins with trusted data, consistent definitions and documented business logic. Solitwork establishes the control and context required for relevant, explainable and reusable AI outputs.

The semantic model connects data with business meaning

Integrating data is just the first step. Data must also reflect how finance understands and manages the business.

Solitwork’s semantic models create a shared business language across systems, reports and processes. Accounts, entities, products, customers, projects, currencies and other management dimensions are organised through consistent definitions, hierarchies and relationships.

The semantic layer separates business logic from individual source systems and reports. Finance can manage definitions centrally and reuse them across the organisation – improving consistency, reducing duplicated logic and strengthening traceability.

CAPABILITIES

Core Data & AI capabilities

A governed finance data foundation combines the engineering disciplines required to move data with the business context required to use it confidently.

BUSINESS VALUE

One governed foundation for finance intelligence

The same governed data and semantic models can be reused across management reporting, financial performance analysis, planning and forecasting, consolidation, ESG reporting, working capital analysis and future AI use cases.

Trusted numbers

Create consistency across reports, dashboards and decisions by managing definitions and business logic centrally.

Less manual data work

Automate integration, mapping, validation and reconciliation so finance can focus on analysis.

Finance context built in

Structure data around the concepts finance uses to manage the business – not the technical structure of source systems.

Transparency and control

Maintain a clear connection between source data, transformations, calculations and reported results.

Technology independence

Connect existing systems and serve the reporting, planning, analytics and AI tools that fit the organisation.

A foundation that evolves

Support today’s reporting requirements while creating the structure needed for future automation and AI.

READY TO MOVE FORWARD?

Turn your data into trusted finance intelligence

Create a governed data foundation that connects your systems, standardises your financial logic and prepares finance for scalable analytics and AI.

Book a demo