From data to knowledge. From knowledge to insight. From insight to value.
Triplea helps organisations turn fragmented data into governed enterprise knowledge. We connect data, meaning, controls and execution so organisations can improve decisions, change delivery, compliance and AI use without replacing the entire IT landscape.
Leveraging experience in operations, data, IT, risk management, compliance and audit, Triplea offers services from Data Visioning and Data & IT strategic enhancement to the operational organisation of change. The Knowledge Platform is labelled TBA and is positioned to unlock the knowledge your organisation needs for better commercial, operational, risk, compliance and finance decisions.
Triplea helps organisations transform data into knowledge.
By enriching data with context, meaning and relationships, we provide clear insight into how information from different sources and types can be connected into corporate knowledge. This enables richer analysis, faster decision-making and greater confidence in the quality of the underlying information.
Value drivers we bring to the market
Knowledge strategy & execution · Controlled change · Enterprise transparency · Digital connectedness
Built for commercial agility, operational efficiency, BCBS 239 readiness and AI-enabled operations with independent corporate knowledge and lower AI cost.
Strategic Advisory Priorities
Achieving compliance with BCBS 239 requires a shift from fragmented, bottom-up data tracking to a controlled, top-down knowledge architecture. Our strategic framework enables financial institutions to systematically map key risk indicators and critical data elements, establish robust data governance, and secure data traceability while limiting the need for prolonged, high-risk IT overhaul cycles. We optimise the existing data landscape and provide insight into the current state. We establish a comprehensive mechanism to show where the organisation is in control and where improvements are needed, helping strengthen regulatory readiness while reducing implementation costs. We fill current automation gaps to enable rapid control over data quality and lineage, such as automated bridges from physical data to logical business concepts, digital connection of data quality measures with underlying data, and connection of legal interpretation and requirements to internal data and definitions.
Traditional data management often leads to high operational costs due to data duplication, manual reconciliations, and complex spreadsheet dependencies. By enriching your existing architecture with a semantic knowledge layer, we reduce systemic inefficiencies and unlock more value from your current IT investments. Clients can achieve material, sustainable cost reductions in management reporting and internal controls without disrupting their core operational processing. A further benefit is more efficient operational processing, as better connected data, definitions and controls reduce manual work, rework, reconciliation effort and process friction.
Executives need fast access to boardroom-ready steering information that is dependable, explainable and of demonstrable quality. TBA helps organisations establish rapid going-concern and ad-hoc management reporting, whether commercial, operational or risk-focused, by turning fragmented information into governed corporate knowledge. This allows reports to be produced faster while providing clearer quality insight, ownership, accountability and regulatory traceability.
Today, organisations increasingly use GenAI for repetitive analytical tasks. TBA captures and retains validated knowledge within a governed semantic layer, making it reusable and independent of the GenAI model that helped create it. As analytical routines become structured and repeatable, TBA enables their transition to deterministic execution, increasing consistency and control while materially reducing GenAI token consumption and associated cost. GenAI can then be focused where it adds most value: novel and unstructured analysis. The LLM is interchangeable. The knowledge is retained.
Technical Solutions Priorities
Manual data lineage tracking is increasingly difficult to defend under modern banking standards. Our technical solutions deploy advanced automation to map end-to-end data lineage and connect real-time data quality measurement directly to your active streams. Built on a consistent semantic foundation, this architecture provides a continuous, auditable view of how critical data flows, transforms, and populates your regulatory reporting pipelines.
When unexpected market shocks occur, standard end-of-day risk calculations leave financial institutions vulnerable and exposed. We deploy high-performance scenario engines that leverage Knowledge Graphs to deliver fast, ad-hoc risk analyses across complex portfolios. By unifying disparate systemic data into an active semantic foundation, risk officers can simulate complex macroeconomic shocks and evaluate institutional impact intraday, rather than days or weeks.
The European AI Act imposes strict requirements on data lineage, risk controls, and transparency for high-risk artificial intelligence models used in financial services. Our specialised compliance layer integrates directly into your AI processes and is designed to provide clear, auditable insight into datasets, model lineage, and automated decision-making controls. We help organisations embed AI initiatives in a controlled, explainable and audit-ready operating environment, reducing the risk of costly remediation when regulatory expectations increase.
While standard Retrieval-Augmented Generation (RAG) often suffers from hallucinations and a lack of context, industrialised GraphRAG anchors your enterprise GenAI models in a validated semantic knowledge graph. This technical solution unifies corporate policy, unstructured documentation, and critical data elements into one secure knowledge map. It empowers your organisation to deploy highly advanced, contextual AI agents capable of answering complex boardroom and compliance queries with greater precision and control. The differentiator is the corporate-wide semantic knowledge layer: it gives GenAI richer context, clearer boundaries and a reusable knowledge foundation for more accurate, controlled responses.
Where advisory work identifies a material improvement opportunity, TBA can provide the platform capability to implement, test or operate that improvement in a governed knowledge environment.
Unlocking Value of Existing Data & IT
This approach identifies the existing data and IT landscape, connecting meaning, relationships, data quality measurements and existing controls. It swiftly clarifies which information is dependable, where risks reside, and where improvements will yield the greatest value. Our primary focus is not on replacing existing IT systems, but on making better use of investments your organisation has already made. This forms the foundation for robust data use and the development of a knowledge environment.
TBA can be applied as an add-on knowledge layer across the existing environment, allowing organisations to improve data use, analytical depth, change execution, transparency and control while current processing remains in place.
Where desired, specific processing, analysis or control capabilities can also be progressively moved into the TBA environment, either as a transition path or as a permanent improvement where this delivers better quality, efficiency or control.
Delivering Measurable Results
Accelerated access to reliable management information
Enhanced, evidence-based decision-making
Reduced expenditure on business operations, controls and remediation
Demonstrable, audit-ready compliance
Sustainable AI-driven improvements free from vendor dependencies and lock-ins
This methodology is powered by TBA: a knowledge platform that seamlessly integrates data, processes, regulatory mandates, and decision-making into a unified semantic foundation.
TBA creates digital connectedness across fragmented data, different data types, systems, controls, definitions and reporting requirements, turning disconnected operational data into governed enterprise knowledge.
Our Approach
Triplea supports organisations in developing a highly viable data and knowledge strategy.
From defining the vision and roadmap to execution and long-term embedding, we help organisations achieve sustainable improvements that demonstrably enhance decision-making, compliance, and operational effectiveness. Where appropriate, this approach is seamlessly augmented by TBA, the proprietary knowledge platform of Triplea.
We achieve this by providing either a temporary TBA environment that accelerates change, improvement and control, or a permanent TBA solution for running improved processing, analysis and governance.