Case Studies

Real Results, Real Impact

Explore how we've helped organisations across industries harness AI to solve complex challenges and deliver measurable outcomes.

Technology

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.

OpenAI EvalTensorFlowLangChainHugging FaceWhyLabs

Technology

Enterprise AI Testing Success

A Fortune 500 enterprise lacked a unified quality assurance framework across its AI models. We built an automated testing platform that achieved 95% test coverage, caught 60% more defects pre-production, and reduced regression cycle times by 70%.

AI agentsBotiumBrowserStackAWS SageMakerLangChain evaluation pipelines

Retail & E-Commerce

AI-Driven Inventory Management

A major retailer struggled with chronic overstock and stockouts across 200+ locations. We deployed an AI-powered demand-sensing engine that improved forecast accuracy by 40%, reduced stockouts by 65%, and cut carrying costs by 30%.

AI predictive analytics integrated with ERP systems

Manufacturing

Predictive Maintenance Pro

A manufacturer faced costly unplanned downtime across a fleet of high-value industrial assets. We built ML-driven predictive maintenance models that reduced unplanned downtime by 55%, cut maintenance costs by 30%, and achieved 92% prediction accuracy.

Tailored ML modelsintegrated with IoT sensors

Financial Services

Pension Fund Processing Automation

A large pension fund processing 50,000 forms per month relied on manual call centre operations. We automated form processing with conversational AI and RPA — reducing processing time by 70%, errors by 80%, and redeploying 60% of manual FTEs to higher-value work.

Conversational AIrobotic process automation (RPA)

Insurance

Insurance Customer Journey

A large insurer with 800 contact centre employees faced fragmented customer touchpoints and declining satisfaction scores. We unified the journey with AI-powered claims triage and real-time risk scoring — cutting claims processing time by 60% and lifting customer satisfaction by 35%.

AI virtual assistantRPA automationmachine learning modelsMicrosoft Dynamics & 365

Retail & E-Commerce