Luci Safety, Accuracy, & Trustworthiness

Luci, Lucinity’s Generative AI copilot, is transforming financial crime compliance through innovative, reliable, and efficient solutions. By leveraging Retrieval-Augmented Generation (RAG) to anchor outputs in real-time data, coupled with robust testing and validation mechanisms, Luci delivers safety, accuracy, and trustworthiness at scale. This document outlines Luci’s foundational principles, advanced safeguards, and proven track record with live customer deployments, ensuring confidence in its operational and strategic value.

1. Safety

1.1 Retrieval-Augmented Generation (RAG) for Grounded Outputs

• Preventing Hallucinations: Luci employs RAG to ensure its generative responses are grounded in case-specific data. By retrieving and using relevant information directly from validated sources, Luci minimizes the risk of inaccuracies or “hallucinations” in its outputs.
• Case-Centric Insights: Every recommendation or narrative generated is anchored in the underlying data of the case, providing traceability and context for each decision.
• Controlled Prompt Engineering: Luci operates with predefined, rigorously tested prompts that are optimized for accuracy and relevance, when provided by Lucinity. This eliminates the risk of user-generated prompts introducing ambiguity or leading to hallucinations, ensuring consistent and grounded outputs.
• Evidence Driven Output: We provide references and sources in all generated outputs so that analysts can double check them and that all output is traceable.

1.2 Maker-Checker Validation Framework

• Dual Validation with LLMs: Outputs generated by Luci are cross-verified using a secondary LLM as part of the maker-checker principle. This process ensures alignment with both retrieved data and intended compliance objectives.
• Human Oversight: Final outputs are subject to user review, further bolstering the integrity and reliability of the system.

2. Accuracy

2.1 High-Fidelity Data Integration

• RAG-Driven Contextualization: Luci’s reliance on RAG ensures that its insights are always derived from accurate, up-to-date data, eliminating reliance on assumptions or incomplete information.
• End-to-End Data Quality Assurance: Rigorous validation of input data and processing pipelines ensures accuracy at every step of Luci’s workflow.

2.2 Automated and Manual Validation

• Unit Testing for RAG Integrity: Extensive unit tests verify that RAG processes consistently retrieve and utilize the correct data for generating outputs. These tests ensure the robustness of Luci skills.
• Comparison with internal Benchmarks: Luci’s outputs are regularly benchmarked against internal golden data sets and customers templates to maintain a high level of accuracy. Benchmark metrics for our own golden data set for Luci production versions are in the high 94-98% range. We utilize a mix of human evaluation and LLM judges to compare outputs against the golden response.
• Regular Testing Cadence: Luci undergoes testing whenever a new feature is developed, a foundation model is updated, or every 4 weeks. Luci code changes are subject to our rigorous CI/CD testing including unit tests, smoke tests integration test etc. and future plans include integrating CI/CD evaluations and real-time performance metrics.
• Observability and Monitoring: Detailed monitoring and observability ensure traceability and quick root-cause analysis. Plans to enable user-friendly self-service experiment management within the Lucinity platform, including execution trees for Luci’s skills and automated testing capabilities via partnerships planned in 2025.

2.3 Generative Intelligence Process Automation (GIPA) for Precision and Control

• Skill Configuration and Control: GIPA empowers organizations to define and control the specific “skills” Luci applies to each use case. This ensures the analysis is tailored precisely to the institutions needs, aligning with compliance goals and regulatory requirements.
• Data Source Transparency: All data utilized by Luci is sourced from validated, configurable systems or datasets as determined by the institution. This ensures that outputs are based solely on approved, high-quality data, further reducing risks of inaccuracies.
• Defined Analytical Frameworks: Through GIPA, users can predefine the types of analyses Luci performs. This guarantees that every insight or recommendation is grounded in established business logic.
• Audit Logging for Full Traceability: Every interaction—whether by a human user or Luci—is fully audit-logged. This includes data inputs, prompts, analysis steps, and outputs, ensuring all actions are traceable for compliance and review purposes.
• Configurable and Transparent Workflows: GIPA allows institutions to customize Luci’s workflows, defining how data is processed and insights are presented. This configurability ensures complete alignment with organizational policies while maintaining full transparency.

2.6 User Acceptance Testing and Approval

• Live Deployment and Continuous Testing: Luci is fully operational and actively used by multiple customers in live environments. Its outputs, including narratives, summaries, and analyses, are continuously tested and refined based on real-world usage.
• High User Acceptance: Customer feedback indicates consistently high satisfaction, with Luci’s outputs requiring minimal adjustments. Analysts report significant time savings of 20% per case and improved workflow efficiency bu just using Luci base skills.
• Iterative Improvement: Live user interactions and feedback loops are leveraged to continuously optimize Luci’s performance, ensuring that it remains aligned with user expectations and compliance requirements.
• Proven Results in Production: Luci’s narrative generation is used on every compliance case across client organizations, delivering actionable and accurate insights with minimal manual intervention. This real-world adoption validates its reliability and effectiveness.

3. Measurable Outcomes from Live Deployments

• Seamless Integration: Deployed within financial institutions’ workflows, Luci enhances compliance operations with minimal disruption.
• Customer Success Metrics: Clients using Luci report:
  • 99% Adoption of provided skills with minimal user adjustments.
  • 20% Faster Case Resolution through actionable insights and efficient workflows using base skills.