Context
Problem framing
Quantive Logic augments analyst workflows with AI while keeping humans accountable in regulated processes. Speed could not trade off against traceability.
AI & Data Systems · 2024
Quantive Logic
Shipped an automation architecture combining AI-assisted workflows, streaming analytics, and operational visualization.
Context
Quantive Logic augments analyst workflows with AI while keeping humans accountable in regulated processes. Speed could not trade off against traceability.
Challenge
Streaming analytics under two-second targets while every model-assisted step remains reversible and logged for review.
Architecture
Kafka event backbone, Python stream processors, LLM orchestration with approval gates, PostgreSQL audit store, and React workflow UI with diff views before commit actions.
Delivery
Pilot workflows with power users; guardrails tuned from real exception patterns. Throughput improved 3.2×; manual steps reduced 52% without audit findings on trace gaps.
Engage
Share architecture constraints and success criteria. We respond with scope, risks, and an honest path forward.