Chat-based offering analysis for private market investors
Investors interrogate offerings in natural language, with citations and compliance bounds.
Wealth
UX, Agents
Sprint → Build → Run
ISO 27001:2022
Strategic Context & Objective
A chat surface over private-market offerings: retrieval, analysis agents, and a UI that never hides uncertainty.
Architecture & Pipeline Implementation
We implemented a modular agentic architecture engineered to handle complex institutional constraints: privilege separation, immutable audit logs, deterministic prompt fallbacks, and real-time citation validation powered by Audra Eval.
Human-on-the-Loop UX
Confidence-graded interfaces allow operators to review reasoning chains and intervene seamlessly whenever uncertainty rises above configured thresholds.
Audra Eval Quality Gates
Automated regression test suites block model updates or prompt drifts from staging unless accuracy and citation scores exceed 98%.
Sprint proves it. Build ships it. Run keeps it alive for 2-5 years.
This project followed our proven lifecycle: a 4-week Agentic AI Design Sprint on sandbox data, rapid production build in weeks, and ongoing Run governance.
More Work
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