AWS GenAI Compliance Case Study: Automating SMS Filtering with Amazon Nova Pro
At a Glance
Client: CloudContactAI (CCAI)
Industry: Marketing Technology / Telecommunications
Challenge: High volume of non-actionable “noise” in inbound SMS streams.
Solution: GenAI-powered compliance filtering using Amazon Nova Pro.
Services Used: Amazon Bedrock, Amazon Nova Pro, AWS Lambda, Amazon DynamoDB
Outcome: Transformed manual message triage into an automated, serverless compliance workflow.
Key Impact: Achieved 75% reduction in manual review time and 80% reduction in SMS noise.
About CloudContactAI
CloudContactAI (CCAI) is a leading AI-powered SMS and email marketing platform. They help businesses engage customers through intelligent, automated campaigns and seamless messaging workflows. Their platform is critical for companies relying on high-volume, compliant, and responsive customer communication.
The Challenge: The Noise of Success
With thousands of SMS campaigns launching daily, CloudContactAI faced a significant operational bottleneck: inbound noise.
While outbound messaging was highly optimized, inbound channels were flooded with automated replies, carrier notifications, and system alerts. These non-actionable messages cluttered agent inboxes and obscured genuine customer responses.
- Operational Drag: Agents wasted hours manually sifting through noise to find human engagement.
- Compliance Risk: High volumes made it difficult to spot “Stop” or “Opt-out” signals accurately, introducing legal liability.
- Scalability Limit: Increasing client volume meant linearly increasing support staff just to filter spam.
The Solution
CloudContactAI partnered with AllCode to engineer a scalable, serverless compliance engine. Recognizing the nuance required to distinguish between a “hard bounce” and an angry customer, AllCode architected a solution using Generative AI on AWS.
Technical Architecture AllCode deployed a decoupled, event-driven architecture designed to intercept and analyze messages before they reached human agents.
- Ingestion & Routing: Inbound SMS traffic is captured via Amazon SNS and processed by AWS Lambda, which normalizes the text payload.
- The Intelligence Layer (Amazon Bedrock): The core of the solution utilizes Amazon Nova Pro via AWS Bedrock. AllCode engineered deterministic prompts to classify messages with high precision:
- Is this human? (Route to Agent)
- Is this a bot/system alert? (Archive & Tag)
- Data Persistence: Metadata and compliance decisions are stored in Amazon DynamoDB for real-time state management, while Amazon S3 handles long-term compliance logging.
- Guardrails & Validation: To ensure production safety, AllCode implemented Guardrails for Amazon Bedrock to filter PII and validated model accuracy against a golden dataset of historical messages before full deployment.
Why AllCode for GenAI Development?
CloudContactAI needed more than just a developer; they needed cloud architects familiar with the bleeding edge of AWS GenAI. AllCode’s status as an Advanced AWS Partner provided the expertise required to implement Amazon Nova Pro securely and cost-effectively within a production environment.
The Results
The transition from manual review to AI-driven filtering transformed CloudContactAI’s workflow, turning a manual cost center into an automated asset.
Key Metrics
- Noise Reduction: 80% reduction in non-actionable messages reaching agents.
- Cost Savings: 75% reduction in operational overhead related to manual triage.
- Sales Growth: >$100k as reported by customers
Impact Summary
- Inbox Sanitation: Automated noise filtering removed non-actionable messages from agent queues.
- Risk Mitigation: “Do Not Contact” requests are now detected and processed instantly.
- Scalable Operations: The system handles fluctuating volumes of inbound SMS without requiring additional human headcount.
Conclusion
By leveraging advanced AWS GenAI capabilities like Amazon Nova Pro and a thoughtful, scalable implementation powered by AllCode, CloudContactAI transformed its SMS compliance handling from a manual, resource-intensive process into an automated, highly reliable compliance engine.