Driving Sustainable Value: Accelerating Performance, Optimizing Infrastructure, and Guaranteeing Compliance.

Periodic Briefing

This week, we focus on overcoming the gaps that banks have identified in setting up end to end data lineage: automate the connection between logical concepts and physical data; time for an integrated data approach

Current IT architectures separate data from its underlying business meaning, forcing organisations to rely on fragile manual mappings or unpredictable and untraced GenAI models. The TBA Platform is the first out-of-the-box solution that embeds business logic, operational data, and regulatory frameworks and control data into a single, unified semantic foundation.

  • Why a Knowledge Platform? It converts raw data into structured corporate knowledge, making data relationships immediately visible and auditable.
  • The GenAI Safeguard: Instead of allowing GenAI to speculate, our platform acts as the deterministic ‘source of truth’—ensuring AI models generate accurate, context-aware, and fully verifiable insights.

Banks struggle to automate the link between their physical data and the “logical concepts”, or data definitions in their policies following regulatory definition setting. Another struggle is the automation of the source to report chain of data definitions and automated data quality measurement. TBA provides the first end to end digital solution to automate data lineage and data quality effectively.

AI can be hugely beneficial, however, AI-vendors bring country risks and continuity of AI-use is crucial to be managed. Transparency of AI output use is key for reasons like avoidance of undiscovered errors or institutionalisation of discriminative practices. Regulation like the EU AI Act demands amongst others a fair treatment of customers requiring organisations to control their AI (output) use. TBA provides both flexibility to switch effortlessly between different AI-vendors and provide full transparency of AI and output use.

It also captures the logic and knowledge that AI generates in order to build the organisation its own, proprietary knowledge base that is flexible to use with other AI-vendor products and avoid lock-in risk or discontinuity of knowledge-building.

Organisations spend time and money on continuous improvements of their IT landscape, adding point solutions for new requirements and refined analyses of their core client and transactional data. TBA provides the capability to integrate with the organisation’s core (source) systems, add relations and meaning to these data and complement the data landscape concerning new data needs. It provides flexibility to organisations to use TBA as a (semi) permantent solution or a temporary solution. TBA allows the quick identification, controlled aggregation and analyses of existing data, adding richness and new data swiftly in a cost effective and agile manner.

Strategic Alignment

Industry Focus

The value of the TBA Platform is evident across all capital-intensive sectors—from Financial Services and Energy to Public Infrastructure.

While our framework originated within global banking to satisfy stringent risk data aggregation mandates (**BCBS 239**), the core commercial truth remains identical for any data-driven enterprise: sustainable market value is built on efficient, untangled data operations.

Independent industry research confirms that modern organisations lose up to 60% of their operational baseline expenditures to manual data identification, fragmented aggregation patterns, and redundant control frameworks.

The Core Objective of BCBS 239

Our unified semantic architecture enables tier-1 organisations to instantly execute four non-negotiable operational capabilities:

  • Absolute Provenance: Knowing exactly where critical enterprise data resides at any given millisecond.
  • Immutable Meaning: Establishing unified logical and business concept definitions across all systems.
  • Continuous Quality: Executing real-time automated data quality measurements natively within the pipeline.
  • Governed Aggregation: Full tracing of data as it is transferred, transformed, calculated, and cleansed.
Engagement Model

Our Approach

Initiate your semantic transformation exactly where your operational friction resides today.

01 / Vision & Strategy

We advise completely independent of technology vendors, anchoring your roadmap strictly to long-term strategic and operational targets.

02 / Immediate Deployment

Deploy the TBA Platform over your current environment within weeks to immediately facilitate high-efficiency data aggregation and controlled reporting.

03 / Flexible Lifecycle

Utilise our environment based on your current operational maturity: as an agile transformation catalyst, a robust transitional cockpit, or a permanent semantic core.