Atlas

Overview

An agentic business workflow platform that uses specialized AI agents to automate repetitive operations, support decision-making, and help businesses operate more efficiently. Development begins with direct, one-on-one collaboration to understand business needs, identify repetitive or inefficient processes, and translate those requirements into practical automated workflows.

Highlights

• Built a modular multi-agent architecture that allows different business workflows to operate independently while sharing context, data, approvals, and platform services
• Developed the platform core using LangGraph, including workflow orchestration, agent state management, approval flows, notifications, and reusable integration interfaces
• Built a provider-agnostic LLM gateway, allowing Atlas to support multiple AI models and providers without tying the platform to a single vendor
• Developed an OR-Tools CP-SAT scheduling system that generates staff schedules while accounting for availability, staffing requirements, operational constraints, and management approval
• Designed Atlas with human-in-the-loop controls reserved for high-impact business actions, allowing them to be reviewed, modified, or approved before execution
• Built the system across the full application stack, including frontend interfaces, backend services, workflow logic, integrations, testing, and deployment
• Designed Atlas as an extensible platform so additional workflows, integrations, and AI capabilities can be added as client needs evolve