About

Company addresses a critical operational crisis in the banking and financial services industry: the inability to manage exploding transaction volumes and complexity with legacy and manual-based systems. For End-to-End Reconciliations: Banks face challenges like the complexity of ISO 20022, the demand for real-time reconciliation driven by instant payments, and the proliferation of data from diverse sources (ERP systems, bank statements, clearing houses). Relying on manual processes creates direct business risks: non-compliance, fraud, errors, write-offs, and audit risk. For Payments Investigation and Case Manager: The manual process for resolving payment exceptions is a costly "operational nightmare." Resolving the 3%+ that trigger exceptions takes 8–10 days. This involves 10 manual steps across departments, relies on unstructured data and costs the industry hundreds of millions annually. The core problem is fragmented data, manual rekeying, and a lack of end-to-end visibility.

Solution & Product

This AI platform ingests data from multiple sources and uses a self-learning, AI-driven matching engine that improves over time, achieving over 95% match rates. The system handles cash, payments, securities, and invoice reconciliations in real-time, aiming to reach a "100% reconciled" state faster. For exceptions, the built-in Payments Investigation manager utilizes Agentic AI for autonomous case creation, duplicate detection, and validation. It leverages Small Language Models (SLMs) for semantic data normalization and provides real-time assistance to investigators. The platform offers a 360° view of each investigation, orchestrates ISO 20022 messages, and tracks progress through collaborative workflows. Key outcomes include a 70% reduction in manual effort and cutting resolution times from days to just hours. Real-time dashboards and GenAI-driven root-cause analysis ensure accurate payments, faster resolutions, and a seamless customer experience.

Innovation & Scalability

Agentic AI: The use of "Agentic AI" in the Payments Investigation module is a cutting-edge innovation. AI acts as an autonomous agent to create cases, validate data, and orchestrate workflows, significantly reducing manual intervention. Small Language Models (SLMs): Your use of SLMs for data normalization is a smart, efficient application of AI, allowing for high-density reasoning on financial data without the overhead of massive general-purpose LLMs. Self-Learning Matching Engine: In the reconciliation module, the AI doesn't follow static rules. It self-learns from past manual matches to improve future matching, making the system smarter over time. Unique Value Proposition: A Unified platform which covers the entire transaction lifecycle—from ensuring data accuracy at the start (Reconciliations) to autonomously resolving issues at the end (Case Manager). This is distinct from fragmented solutions that only do one part of the job.

Traction & achievements

We have developed and matured our platform to TRL 7-8, fully prototyped, demonstrated in operational environments with target users, and nearly complete for large-scale commercial deployment. We launched two AI-powered solutions: End-to-End Reconciliations and Payments Investigation and Case Manager. Both products are cloud-native, addressing critical pain points around manual processes, regulatory compliance, and operational inefficiency. Company has estsblished partneship with international software companies leading in banking automation platforms which have incorporated our reconciliation and investigation platform into their product ecosystems, validating our technology and providing a powerful distribution channels through their global client base of financial institutions.

Team & Why Us

CEO & Founder – Leads strategic direction with experience in product development of technological products. Responsible for overall company vision, business development, and strategic partnerships with financial institutions and technology partners. CTO (Consultant) – Oversees technology architecture and deployment, with expertise in AI/ML frameworks. Guides the development of the platform's technical foundation, ensuring scalability, security, and robust integration capabilities for complex banking environments. Head of Banking Operations – bringing deep experience in banking operations, payments, and reconciliation processes. Leads the team of implementation specialists. Business Development Executive – Drives revenue growth through direct enterprise sales and partner channel development. Software Engineering Team – Our platform is developed by a team of remote, highly skilled software engineers specializing in AI, cloud-native architecture, and financial systems integration.

Funding Needs

We have established TrueAI as an emerging AI solution for banking operations, with a clear roadmap for scaling across Europe through a partner-driven go to market strategy.