Question 1

Can AI agents pass a SOX audit?

Accepted Answer

Yes when designed for it. We build agents with deterministic audit logs (every input, prompt, tool call, output, latency, model version) and human-in-the-loop checkpoints at material thresholds. The SOX-friendly pattern: AI proposes, human approves above $X, fully logged. We have shipped AP automation under SOX scope with no audit findings.

Question 2

How do you handle PCI-DSS for fraud detection?

Accepted Answer

PAN data never enters the LLM context. We tokenize at ingest using your existing token vault (TokenEx, Very Good Security, or in-house), so the agent reasons over tokens and metadata, not raw card data. Model inference runs on AWS Bedrock in PCI-DSS scope-compatible environments.

Question 3

What ROI should we expect for finance AI agents?

Accepted Answer

Per Deloitte 2026: financial institutions report 92% engagement lift and 10-25% revenue growth from AI-personalized offers. Our own AP automation deployments save 60-80% of manual processing time at month-end, and fraud detection deployments cut false-positive review queues 30-50%. Median payback: 4-8 months.

Question 4

Do you integrate with NetSuite, QuickBooks, Sage Intacct?

Accepted Answer

Yes to all three. The most common stack: NetSuite or Sage Intacct as system of record, the agent reads via REST/SuiteTalk/Sage Intacct API, writes back proposed entries to a staging table, human approver promotes to GL. QuickBooks integration uses the Intuit Developer API with refresh-token handling.

Question 5

How much does it cost to build a finance AI agent?

Accepted Answer

Single-purpose (AP, fraud, reconciliation): $35K-$80K. Multi-tool suite across finance functions: $80K-$180K. Enterprise SOX-scoped platform: $180K-$300K. Numbers cover scoping, model selection, integrations, evals, audit logs, and 90-day tuning.

Question 6

Can the AI agent be HIPAA-ready for health insurance workloads?

Accepted Answer

Yes. For payers and TPAs we deploy on AWS Bedrock with a signed BAA, PHI scrubbing at the tool boundary, and full audit logs. Claims AI is the most common HIPAA workload we ship — prior auth automation, claims status, denial-reason routing.

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