AWS and Ninth Wave: Compass on Amazon Bedrock Cuts API Integration by 95%

Open finance onboarding has long been slowed by manual API mapping between banks, aggregators, and fintech partners. A new joint study from AWS and Ninth Wave shows how AI on Amazon Bedrock can compress that work from weeks to minutes.

Financial institutions integrating into the open finance ecosystem face a persistent bottleneck: every bank implements APIs differently, forcing senior engineers into weeks of manual field mapping and validation before go-live. This delay drives up integration costs and slows time-to-market for regulated data connectivity projects.

What was announced

On September 14, 2026, Ninth Wave and Amazon Web Services (AWS) published the results of a joint study demonstrating that banks using Ninth Wave's Compass onboarding assistant, built with Amazon Bedrock, can reduce onboarding integration testing by up to 95%. Work that previously consumed weeks of senior-engineer time can now be completed in minutes through a centralized, AI-governed process.

Since launching in March 2026, Compass has replaced spreadsheet- and email-driven onboarding workflows with self-service capabilities that resolve integration questions without opening a support ticket, reducing back-and-forth between banks, aggregators, and fintech partners.

Our partnership with AWS and our co-authored study shows that banks using Compass with Amazon Bedrock can cut data mapping and integration testing, both time-consuming activities, by as much as 95%. These findings reflect more than a technical milestone, they demonstrate that AI will be the foundation of the next generation of Open Finance.

Why this matters

For CIOs, CISOs, and IT directors in the financial services sector, the joint study addresses two long-standing tensions: the need to accelerate integration into Open Finance networks and the requirement to preserve security and compliance controls in a regulated environment. By running the multi-agent Compass system on Amazon Bedrock AgentCore, financial institutions gain production-scale AI orchestration with security controls designed with SOC 2 and PCI DSS requirements in mind.

Procurement leaders benefit from measurable reductions in engineering effort and faster onboarding cycles, while risk and compliance teams retain the governance needed for regulated data exchange under the Financial Data Exchange (FDX) standard.

Ninth Wave built Compass on AWS to solve a real pain point in open finance: making bank onboarding faster without compromising the security and compliance that regulated institutions demand. Going from concept to production on Amazon Bedrock AgentCore, they are now delivering measurable results for financial institution clients.

Technical details

• Architecture: Multi-agent AI system with a primary orchestrator directing seven specialist agents covering field mapping to interactive Q&A.
• Runtime: Amazon Bedrock AgentCore hosts and scales the agents at production capacity.
• Model strategy: Mixes cost-efficient and high-reasoning foundation models by task type.
• Security posture: Controls aligned with SOC 2 and PCI DSS requirements for regulated financial workloads.
• Standards alignment: Bridges bank-specific API variations to the Financial Data Exchange (FDX) standard.
• Measured outcome: Up to 95% reduction in data mapping and integration testing effort.

Softprom and AWS

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This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.