Most IT teams burn months integrating business systems. Ashish Thusoo's agents at CurieTech AI deliver 70-80% productivity improvements by changing one thing: the loop shifts from human build, human verify, human refine to AI build, human verify, AI refine. That compression happens because machines can now build and refine while humans focus verification energy where it matters.
From co-creating Apache Hive at Facebook to General Manager of AI at AWS, Ashish brings 25 years of infrastructure experience to automating IT engineering. CurieTech targets the reality most companies face: not building software products but making CRM, ERP, and financial systems talk to each other across 1,000+ business systems. His method treats production agent development as a data problem first. Build benchmarks, run systematic error analysis across every failure, then decide whether fixes need more context, fine-tuning, or expanded knowledge bases.
Shifting from human build/verify/refine loops to AI build/human verify/AI refine workflowBuilding benchmarks and eval sets before prototyping agents for production qualityRunning painstaking error analysis on every agent mistake to classify root causesChoosing between fine-tuning and RAG based on knowledge stability and response speed requirementsCreating synthetic datasets with statistical sampling methods for human verification loopsHandling multimodal enterprise data quality with task-specific metrics per workflowHiring engineers based on how they guide AI through problem decompositionAutomating version upgrades across 1,000+ business systems with reasoning-capable agentsApplying SaaS-era governance patterns to agent proliferation in enterprisesMaintaining speed as core entrepreneurial skill when technology shifts monthly not yearly