Bryan Mclachlan

iTuring turns business intelligence into business outcomes with one integrated AI platform. Unlike AutoML-only platforms that stop at predictions, iTuring unifies predictive models, generative AI, and autonomous agents on a single data foundation. Models feed agents. Agents personalize interactions. Outcomes retrain predictions. No vendor sprawl, no manual orchestration, no pilot purgatory. The problem: Most enterprises face costly fragmentation. Predictive models operate separately from personalization engines. GenAI can't trigger autonomous actions. Agents lack governance. This traps insights, creates compliance gaps, and forces manual system integration. When auditors arrive, fragmented systems fail examination readiness. The solution: iTuring unifies all three AI capabilities with compliance native to every layer. 18 banks and insurers run iTuring in production across 140 use cases. Proven outcomes: Regional bank: +32% credit approvals Fintech platform: 92% fraud detection accuracy National insurer: 20% collections lift, 60% lower costs Credit union: $45M net new deposits in 90 days Five integrated capabilities Data Accelerator – 50,000 pre-built financial features with complete lineage AutoML – 4,000 competing algorithms identify champion models with full explainability Model Ops – Deploy any framework with maker-checker approvals and one-click rollbacks Model Risk Management – Monitor 60+ parameters, deliver root-cause analysis in 30 minutes Model Governance – Centralized inventory and audit trails for examination readiness Autonomous learning Collections strategies adapt to portfolio behavior. Fraud models evolve with attack patterns. Growth strategies optimize based on conversion data. Intelligence compounds without data science bottlenecks or redeployment.