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Development of Scalable AI-Driven Sales Platform with Enhanced Reliability and Documentation
  1. case
  2. Development of Scalable AI-Driven Sales Platform with Enhanced Reliability and Documentation

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Development of Scalable AI-Driven Sales Platform with Enhanced Reliability and Documentation

streaver.com
Information technology
Business services
SaaS

Platform Instability and Operational Inefficiencies

Critical AI agents (ICP, Deal Notes, Pipeline Analysis) were non-functional following key personnel departure. Platform suffered from frontend/backend bugs, poor documentation, scalability limitations, and code redundancy, hindering user onboarding and system reliability.

About the Client

Technology platform leveraging AI and data analytics to optimize sales operations through agentic architecture

Core Project Goals

  • Restore core AI agent functionality
  • Stabilize platform infrastructure
  • Implement comprehensive documentation
  • Optimize system scalability
  • Establish foundation for future feature development

System Functionality Requirements

  • Reactivated AI agents for sales process optimization
  • Bug-fixed frontend interface with improved UX
  • Comprehensive technical documentation suite
  • Resilient error-handling mechanisms
  • Scalable backend architecture with optimized codebase

Technology Stack

NextJS
Vercel
Trigger.dev
AI/ML frameworks

System Integrations

  • Cloud infrastructure (AWS/GCP)
  • Monitoring tools (Datadog/NewRelic)
  • CI/CD pipelines

Operational Requirements

  • High system availability (99.9%)
  • Horizontal scalability for 20+ future agents
  • Real-time monitoring capabilities
  • Code maintainability metrics
  • Security compliance (GDPR/ISO)

Business Impact Projections

Stabilized platform with 30% faster onboarding, 50% reduction in system downtime, and foundation for expanding AI agent ecosystem. Enhanced documentation enables 40% faster engineer onboarding, while modernized infrastructure supports 200% growth in user capacity.

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