Multi-Agent Architecture Patterns for Real-World Financial Systems
Engineering patterns for safely deploying LLM agents in African microfinance systems: bounded authority gates, bias audits, and shared-state coordination across agent pipelines.
The source argues that treating large language models as freely-prompted conversational oracles is dangerous when deployed in East African microfinance and savings-cooperative systems, where model output directly gates credit access and liquidity decisions rather than affecting a vanity metric. It advocates handling LLMs as untrusted components that need explicit, testable boundaries rather than being trusted to self-regulate.
The proposed architecture includes a layered authority gate with role and ceiling checks plus a global kill switch; a pre-deployment bias audit that measures approval-rate gaps between formal and informal-sector applicants using counterfactual tests wired into CI; and a multi-agent lending pipeline where a Scout, Guardian, and Reviewer agent share a single structured state contract instead of passing loosely-typed messages, allowing risk scoring tied to seasonal harvest cycles rather than static monthly income.
Finally, it recommends a cautious weekly telemetry review loop that flags anomalies and routes them for human approval instead of auto-diagnosing root causes. The overarching principle is designing LLM-based systems as auditable software components with explicit, verifiable limits rather than as unconstrained decision-makers.