LLM Testing Success
A global financial services firm deployed an LLM for compliance and regulatory support. We addressed three critical challenges: hallucination reduction to ensure factual correctness, contextual integrity across multi-turn conversations, and multilingual handling of regulatory terminology — delivering measurable improvements within 90 days.
Key Outcomes
The Challenge
The firm's compliance team relied on manual review of regulatory queries across multiple jurisdictions and languages. Responses needed to be factually precise — hallucinated or contextually incoherent answers posed serious regulatory risk. Existing keyword-based systems couldn't handle multi-turn conversations or nuanced legal terminology, creating bottlenecks and exposing the organisation to compliance failures.
Our Solution
We deployed a fine-tuned LLM with retrieval-augmented generation (RAG) anchored to the firm's regulatory corpus. Custom evaluation pipelines — built on OpenAI Evals, LangChain, and WhyLabs — continuously monitored hallucination rates, context coherence, and multilingual accuracy. Post-pilot results: 40% hallucination reduction, 25% improvement in context coherence, 35% uplift in multilingual accuracy, and 25% gain in compliance query precision.
