Enterprise case studies

The problem: A mid-sized bank had 14 years of compliance documentation across 6 regulatory frameworks. Analysts spent 40% of their time manually searching for policy precedents and regulatory guidance. Accuracy errors during this process created audit risk.

What we built: A role-scoped RAG system that ingested 380,000 documents across PDF, Word, and proprietary formats. The retrieval layer enforces department-level access controls. Source citations appear with every answer, linked to the originating clause.

The outcome: Policy lookup time reduced from an average of 23 minutes to under 90 seconds. Audit risk flagged by compliance teams dropped by 67% in the first quarter post-deployment.

The problem: A diagnostics company operating in rural healthcare facilities needed AI-assisted image analysis but couldn't transmit patient data to the cloud due to data-sovereignty requirements and unreliable connectivity.

What we built: We quantised and optimised a medical imaging model for deployment on NVIDIA Jetson Orin hardware at each facility. A custom data pipeline compresses structured outputs and synchronises with the central database during connectivity windows. The entire stack runs air-gapped.

The outcome: Radiologist throughput increased by 3.2×, from 40 scans per day to 128. Full HIPAA compliance maintained without any cloud data transfer.

The problem: A 160-engineer SaaS company was releasing AI-generated code at a rate that outpaced their manual review capacity. Their SOC 2 audit had flagged three critical code-quality findings.

What we built: We deployed our Automated Governance system with custom rule sets for their Python and TypeScript stacks. An LLM-powered review agent contextualises findings and tracks whether similar patterns exist elsewhere, integrated directly into their CI/CD pipeline.

The outcome: Zero critical security findings in their subsequent SOC 2 audit. Mean time to detect vulnerabilities dropped from 18 days to under 4 minutes.

The problem: A freight company processing 8 million+ shipment events per month was handling 4,200 daily exceptions with a 35-person operations team. SLA violations were increasing month-on-month.

What we built: A multi-agent exception-management system. A classifier agent triages incoming exceptions by severity; resolution agents query carrier APIs and customs databases autonomously, escalating only cases requiring human judgment. A custom pipeline normalises 14 carrier data formats in real time.

The outcome: 84% of exceptions now resolved without human intervention. SLA compliance improved from 71% to 94%.