Product Guide

overview ctrlagent is an enterprise ai platform that enables organizations to build, deploy, and manage intelligent agentic applications the platform uses a hierarchical architecture with specialized ai agents that automate complex business processes across multiple domains quick start guide step 1 log in navigate to your ctrlagent platform url enter your enterprise credentials you'll land on your dashboard step 2 interact with your app access the assistant runtime chat interface ask questions or give commands in natural language view ai generated dashboards with real time data step 3 run analytics use what if analysis for scenario planning example query "what if we increase prices by 10%?" core components enterprises the top level organizational container that houses all your apps, integrations, and user management key features complete data isolation between organizations centralized user and role management shared datasources across all apps enterprise wide analytics and reporting agents agent configuration ai powered components that execute workflows and processes mandatory attributes purpose core function and objective responsibility scope of authority and boundaries optional attributes instructions detailed operational guidelines role professional persona tone communication style domain business area specialization audience target user groups schema definition data format specifications gender agent identity for personalization constraints limitations and boundaries key features ai generated dashboards automatically creates relevant visualizations based on user behavior real time data updates drag and drop widget customization role specific views what if analysis advanced scenario planning capabilities "what if sales increase by 20%?" "what if we expand to new markets?" "what would be the impact of reducing costs by 15%?" integration capabilities type supported systems databases mysql, postgresql, mongodb, oracle, sql server cloud services aws, azure, google cloud platform apis rest, graphql, soap enterprise systems sap, salesforce, servicenow, microsoft 365 file storage amazon s3, azure blob, google cloud storage environment management development, staging, production configurations environment specific variables secure credential management no hardcoded credentials in connections common use cases customer service automation automated ticket routing sentiment analysis response generation escalation management business process automation document processing approval workflows data synchronization report generation predictive analytics demand forecasting risk assessment customer churn prediction resource optimization best practices working with agents start with broad requests, then use follow up questions to narrow focus and get more specific results 1\ clear communication use specific, actionable commands provide context when necessary specify desired output format 2\ iterative refinement start with broad requests use follow up questions to narrow focus save successful workflows for reuse 3\ data integration ensure datasources are properly configured verify connection health before queries map response data to appropriate variables security considerations access control implement role based permissions regular access reviews audit trail monitoring data protection use environment variables for sensitive data enable data masking where appropriate regular security updates performance optimization workflow design minimize unnecessary api calls use caching where possible optimize condition logic agent configuration define clear agent boundaries avoid overlapping responsibilities regular prompt optimization