Atlas Ai

"Overview This project is an advanced multi-agent intelligence system designed to bridge external market dynamics with internal business reality. By orchestrating specialized AI agents, the system acts as an autonomous corporate strategist that detects market shifts, correlates them with internal performance data, and recommends high-value business actions in near real time. Architecture & Workflow The system operates on a DevPipeline that follows a continuous Research → Reason → Act loop. External Market Research: A researcher_agent coordinates parallel sub-agents (trends_researcher, WebResearcher, news_researcher) to scan the web for competitor activity, emerging trends, and global events. Internal Intelligence: At the same time, an internal_intelligence_agent queries enterprise systems such as BigQuery and Salesforce to assess sales performance, client acquisition channels, and operational health. Cross-Domain Reasoning: A cross_domain_reasoner_agent fuses external and internal signals to identify meaningful correlations and causal patterns—for example, linking a competitor launch to a regional drop in signups. Strategic Execution: A strategizer_agent converts these insights into actionable business plans. Downstream agents then execute the strategy: post_generation_agent generates AI-powered marketing visuals slack_discussion_agent delivers insights, plans, and assets directly to leadership via Slack Key Technologies Google ADK: Multi-agent orchestration BigQuery & Salesforce APIs: Internal financial and CRM data Gemini 2.5 Pro: Cross-domain reasoning and synthesis Nano Banana: On-demand visual asset generation Value Proposition This system replaces static dashboards with active intelligence. Instead of waiting for manual analysis, it proactively identifies market opportunities, validates internal readiness, and presents complete strategies to decision-makers—enabling faster, clearer, and more informed business decisions."