AI Agentic Colocation Analysis System
Deploys 12 specialized AI agents that execute parallel analysis workflows with visible chain-of-thought reasoning, RAG-based document retrieval, tool calling for calculations, and human-in-the-loop checkpoints. Generates tiered site recommendations (Tier 1: approved, Tier 2: conditional, Tier 3: review required) with full explainability.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Colocation Request processor with tenant selection, technology configuration, deployment parameters, and system architecture visualization
Live workflow orchestration showing agent swarm coordination, communication flow, and real-time multi-phase analysis progress
Analysis Complete summary with site recommendations, AI confidence scoring, revenue impact assessment, and risk profile analysis
Observability Dashboard tracking system performance metrics, API costs, token usage, and individual agent execution analytics
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Multi-domain colocation analysis requires intelligent task delegation, conflict resolution when agents disagree, and synthesis of diverse findings into coherent recommendations.
Core Logic
Validates incoming requests, decomposes analysis into parallel workstreams, delegates to domain specialists, monitors progress, resolves conflicting assessments (e.g., structural vs. financial trade-offs), escalates edge cases to human reviewers, and synthesizes portfolio-level recommendations.
Site Discovery Agent
Finding sites that match tenant requirements for coverage targets, equipment specifications, and location preferences across large infrastructure portfolios.
Core Logic
Searches tower infrastructure inventory database by region, capacity, and type. Performs geo-analysis for coverage modeling, identifies alternatives when primary candidates are unsuitable, and generates prioritized candidate lists with capacity utilization metrics.
Structural Engineer Agent
Adding tenant equipment to existing towers requires structural load analysis, wind load calculations, and safety verification per international engineering standards.
Core Logic
Calculates structural loads per Eurocode BS EN 1991-1-4, analyzes wind load factors by UK wind zone, verifies tower capacity utilization (target <85%), assesses foundation adequacy, and identifies reinforcement requirements with cost estimates.
RF Engineer Agent
Multiple operators sharing tower infrastructure can experience RF interference, requiring careful frequency coordination and coverage modeling.
Core Logic
Analyzes frequency separation from existing tenants (minimum 100MHz recommended), performs SINR calculations using 3GPP propagation models, identifies IMD3 intermodulation risks, verifies coverage predictions, and recommends filters or antenna placement adjustments.
Legal Analyst Agent
Tower lease agreements contain complex clauses governing modification rights, tenant limits, subletting restrictions, and landlord notification requirements.
Core Logic
Performs RAG-based semantic search over lease document repository, extracts relevant clauses (modification rights, exclusivity, tenant limits), identifies restrictions and compliance requirements, and flags lease amendments needed with historical success rates.
Financial Analyst Agent
Colocation pricing must optimize win probability while maintaining margin targets, accounting for site-specific costs and market conditions.
Core Logic
Calculates NPV using discounted cash flow analysis, determines IRR and payback period, optimizes pricing against market benchmarks, performs risk-adjusted valuation using Monte Carlo simulation, and models sensitivity to key variables.
Planning Specialist Agent
Equipment installations may require planning permission depending on location, visibility, height changes, and proximity to protected areas.
Core Logic
Queries local authority planning databases, determines permitted development eligibility under GPDO 2015, identifies conservation area restrictions, predicts approval probability based on historical patterns, and estimates timeline for applications.
Risk Assessor Agent
Colocation decisions involve aggregating risks across multiple domains and quantifying portfolio-level exposure to inform go/no-go decisions.
Core Logic
Aggregates findings from all specialist agents, calculates composite risk scores using probability-impact matrices, performs Monte Carlo simulation for cost overrun probability, develops mitigation strategies, and generates risk-adjusted recommendations.
Sustainability Analyst Agent
New deployments must consider environmental impact, ESG compliance, and contribution to Net Zero pathways to meet corporate sustainability commitments.
Core Logic
Calculates Scope 1/2/3 carbon emissions for deployments, assesses Power Usage Effectiveness (PUE), evaluates renewable energy potential, generates ESG scores (AAA to CCC ratings), and identifies carbon reduction opportunities with ROI analysis.
Network Slicing Specialist Agent
5G deployments require assessment of network slicing readiness to support diverse use cases including eMBB, URLLC, and mMTC with specific SLA requirements.
Core Logic
Evaluates site infrastructure for slice compatibility, assesses isolation levels (hardware, virtualized, containerized), verifies latency and bandwidth guarantees, determines edge compute capability, and identifies enterprise slice revenue opportunities.
Open RAN Architect Agent
Open RAN deployments offer cost savings and vendor diversity but require careful assessment of interoperability, migration complexity, and component compatibility.
Core Logic
Assesses O-RAN Alliance compliance (O-RU, O-DU, O-CU, Near-RT RIC, Non-RT RIC), evaluates vendor diversity scores, analyzes fronthaul requirements (eCPRI, synchronization), estimates cost savings versus traditional RAN, and plans RIC deployment with xApp/rApp ecosystem.
SON Optimizer Agent
Self-Organizing Network capabilities improve network performance but require assessment of automation readiness and AI/ML integration potential.
Core Logic
Evaluates SON capabilities (self-configuration, self-optimization, self-healing), assesses automation levels (0-5 scale), predicts KPI improvements from AI/ML optimization, monitors anomaly detection effectiveness, and identifies optimization opportunities for load balancing and interference mitigation.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization