Fintech Data Network Automates Partner Onboarding with Bedrock AI Agents

Description and use

Ninth Wave leveraged Amazon Bedrock to automate partner onboarding, reducing manual document review while maintaining human oversight for compliance-critical decisions.

Problem

Manual review of onboarding documentation by technical and compliance staff was time‑consuming and error‑prone.

Outcome

Automated AI agents reduced the need for manual document review, improving onboarding speed and consistency while maintaining human oversight for high‑risk decisions.

Workflow

• Collect partner onboarding documents (structured and unstructured).
• Ingest documents into Bedrock AI agents.
• Agents cross‑reference content against Ninth Wave’s rules/knowledge base.
• Generate a decision, exception flag, or next‑step recommendation.
• Human reviewer reviews AI output and finalizes onboarding.

Evidence

The system uses AI agents to review onboarding documentation, extract relevant compliance and integration details, and generate guidance for connecting new financial institutions to the network — tasks that previously required manual review by Ninth Wave's technical and compliance staff.

Source

Regulated industries like financial data sharing are now comfortable putting generative AI agents into onboarding pipelines that touch compliance-sensitive documents, provided the agent's output is reviewed rather than auto-executed for high-risk steps.

Source