Sold by: Compass UOL
Reduce cost per transaction and accelerate decision-making by embedding AI-driven decisioning into payments, lending, fraud, and servicing workflows using AWS-native services.
Overview
Financial institutions rely on manual decision workflows across payments, fraud detection, lending approvals, and servicing operations. These processes increase operational cost, slow decision cycles, and introduce inconsistencies that impact risk exposure and revenue realization.
As volumes increase and margins tighten, organizations must move from manual review to real-time, AI-driven decisioning embedded directly into production workflows. Compass UOL enables this transformation by identifying high-impact decision points and implementing AI-powered execution using Amazon Bedrock and AWS-native services such as AWS Lambda, Amazon S3, and AWS Step Functions.
This assessment defines a clear path from discovery to production deployment, allowing customers to reduce cost per transaction, improve decision consistency, and scale operations without increasing headcount.
Expected Output: • Decision automation opportunity map • AWS architecture design • Pilot-to-scale roadmap
Customer Decision Questions • Where can AI replace manual decisions to reduce cost? • Which workflows drive fastest ROI? • How do we deploy decisioning into production on AWS?
Highlights
- Financial services-specific workflows Direct cost and risk reduction Real-time decision automation Production-ready AWS architecture
- Deliverables Expected Output: AI workflow opportunity map with ROI prioritization AWS-native architecture using Bedrock + event-driven services Pilot → production implementation roadmap
- Designed to accelerate production adoption.
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Deployed on AWS
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Multiple options for support plans are available upon customer request. Email: marketplace.aws@compass.uol