AWS Builder Center

Builder Center

Zero-Hallucination Construction Finance: Deploying Bedrock AgentCore & Deterministic Math | Agents for Humans

Zero-Hallucination Construction Finance: Deploying Bedrock AgentCore & Deterministic Math | Agents for Humans

How IRONCLAD Sentinel pairs Amazon Bedrock AgentCore containerization with Python Decimal deterministic math to eliminate AI financial hallucinations in commercial construction auditing.

Jaguri

Eliminating Financial Hallucinations with Amazon Bedrock AgentCore & Python Decimal

In commercial construction billing, an IEEE 754 floating-point error ($0.1 + 0.2 = 0.30000000000000004$) or an LLM arithmetic hallucination on a multi-million-dollar retainage calculation is catastrophic.
For the AWS Agents for Humans Hackathon, IRONCLAD Sentinel was built on a foundational engineering principle: LLMs should never perform financial arithmetic.

The Zero-LLM Deterministic Math Invariant

In IRONCLAD Sentinel, large language models are strictly restricted to semantic document perception and clause classification. All mathematical computations are offloaded to pure Python tools using exact Decimal precision:
  • Contractual Retainage Withholding: (gross_amount * pct).quantize(Decimal("0.01"))
  • Net Recommended Release: gross_amount - retainage_withheld - prior_payments
  • Statutory Interest Liabilities: Computed via deterministic UTC calendar arithmetic against state Prompt Payment Act statutes (e.g., Texas Property Code § 28 at 1.5%/month).
Every dollar amount rendered on the Executive Decision Card is byte-for-byte traceable to deterministic tool traces, eliminating financial hallucinations entirely.

Enterprise Deployment with Amazon Bedrock AgentCore

IRONCLAD Sentinel is packaged and containerized for Amazon Bedrock AgentCore Runtime:
  • Native Container Specification: Packaged via Dockerfile and agentcore.yaml targeting Python 3.11 with non-root security isolation.
  • Model Routing: Orchestrated with Anthropic Claude 3.5 Sonnet (us.anthropic.claude-3-5-sonnet-20241022-v2:0) for complex clause understanding and Claude 3.5 Haiku for rapid execution.
  • Provider Abstraction Layer: An air-gapped BaseRuntimeProtocol enables multi-cloud resilience, allowing the engine to run against Bedrock AgentCore in production and a zero-cost staging engine for public evaluation.
  • Full Telemetry Integration: Built-in OpenTelemetry GenAI spans dual-exported to AWS CloudWatch (bedrock-agentcore namespace) and Langfuse for complete execution auditability.
By pairing Amazon Bedrock AgentCore with deterministic code guardrails, IRONCLAD Sentinel bridges the gap between probabilistic AI reasoning and mission-critical financial rigor.
# amazon-bedrock# amazon-bedrock-agentcore# fintech# security# ai-security
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
Enjoyed reading this content? Let the author know!

Your likes, comments, shares, and saves help creators reach more builders.

Loading recommendations

Loading article