Agentic AI for Multimodal Content Verification & Fraud Detection

Ironside’s Agentic AI Automation for Multimodal Content Verification and Fraud Detection platform replaces manual, labor-intensive review bottlenecks with a high-throughput multi-agent system on Amazon Bedrock with Anthropic Claude. Specialized AI agents operate in parallel across unstructured document, image, and audio files, delivering automated editorial quality, fraud prevention, and brand compliance at enterprise scale, escalating to human reviewers only on exceptions or agent disagreement.

The platform orchestrates mulitple specialized agents coordinated by a single governance layer:

• Grammar & Editorial Quality: Delivers sentence-level syntax, spelling, and structural correction at professional editor standards.
• Multimodal Fraud Detection: Catches geographic mismatches, timestamp anomalies, image reuse, AI-generated content, and forged documents.
• Multi-Language Translation & Proofing: Accurately proofs and localizes across 50+ languages without third-party translation networks.
• Answer Consistency: Cross-checks scored evaluations against narrative remarks to catch contradictions and discrepancies.
• Brand Alignment: Codifies corporate style guides and compliance rules to enforce them systematically on every file.
• Tone & Voice Normalization: Harmonizes output across contributors, departments, and global markets to maintain uniform brand identity.

Deliverables: Production multi-agent platform in the client's AWS account, customized specialist agents, codified brand voice models, calibrated fraud detection algorithms, production accuracy benchmarks, and a per-transaction cost model.