AI Strategic Optimizer - Scenario Analysis & Execution System
Provides an end-to-end scenario analysis system where operators define goals, constraints, and risk tolerance, then intelligent agents collaborate to analyze data, forecast outcomes, optimize decisions, assess risks, and validate recommendations. Features autonomous execution capabilities with real-time monitoring and rollback support.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Scenario Configuration - Quick start presets and detailed optimization goal setup with weighted targets for revenue, utilization, and bookings
Multi-Agent Orchestration - Real-time 6-agent collaboration with progress tracking, tool invocations, and OpenTelemetry distributed tracing
Strategic Analysis Results - Comprehensive insights showing optimal channel allocation, revenue projections, and commission savings opportunities
AI Recommendations Review - Actionable recommendations with impact estimates, confidence levels, timeframes, and risk assessment analysis
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Scenario analysis workflows involve multiple specialized agents that must collaborate effectively, share context, and reach consensus on recommendations.
Core Logic
Coordinates the scenario analysis pipeline from input processing through result generation. Manages agent task assignment based on scenario requirements. Facilitates inter-agent communication and context sharing. Routes approval requests to human reviewers when confidence thresholds are not met. Uses Claude 3.5 Sonnet with 200K context window for comprehensive reasoning.
Data Analyst Agent
Strategic decisions require deep analysis of historical data, current performance metrics, and external market factors to establish factual foundations for optimization.
Core Logic
Executes comprehensive data analysis using SQL queries, statistical methods, and pattern recognition. Performs segmentation analysis, trend identification, and anomaly detection. Aggregates data from booking systems, CRM, and external sources. Produces structured insights with confidence scores and data lineage for downstream agents.
Forecaster Agent
Optimization decisions require accurate predictions of future demand, revenue, and customer behavior under different strategy scenarios to evaluate expected outcomes.
Core Logic
Generates probabilistic forecasts using Prophet, ARIMA, and regression models. Produces scenario projections for baseline, optimistic, and pessimistic cases. Incorporates external factors including weather, events, and competitive dynamics. Provides confidence intervals and uncertainty quantification for risk-adjusted decision making.
Optimizer Agent
Finding optimal decisions across multiple objectives with constraints requires sophisticated optimization that balances revenue, utilization, customer satisfaction, and operational feasibility.
Core Logic
Applies linear programming, constraint solvers, and genetic algorithms to find optimal solutions within defined constraints. Handles multi-objective optimization with configurable priority weights. Generates Pareto-optimal alternatives for human selection. Respects hard constraints while optimizing soft constraints based on penalty functions.
Risk Assessor Agent
Recommended actions carry operational, financial, market, and compliance risks that must be systematically evaluated before approval to prevent unintended negative consequences.
Core Logic
Evaluates recommendations using risk matrices with probability and impact scoring. Identifies operational risks including resource constraints and system dependencies. Assesses financial risks with sensitivity analysis. Checks compliance with business rules and regulatory requirements. Proposes mitigation strategies and flags items requiring human review.
Validator Agent
AI-generated recommendations must be validated for correctness, consistency, and feasibility before presentation to human decision-makers or autonomous execution.
Core Logic
Performs comprehensive validation including schema verification, business rule checking, and consistency analysis across recommendations. Validates that actions are executable within system constraints. Checks for conflicting recommendations and missing dependencies. Uses Claude 3 Haiku for fast, accurate validation with 0.1 temperature for deterministic checking.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
6 technologies
Architecture Diagram
System flow visualization