Home Industry Ecosystems Capabilities About Us Careers Contact Us
System Status
Online: 3K+ Agents Active
Digital Worker 10 AI Agents Active

AI Agentic Site Acquisition System

Deploys a coordinated swarm of 10 specialized AI agents that work in parallel to analyze potential tower sites. The orchestrator agent delegates tasks, resolves conflicts, and synthesizes findings into actionable recommendations with full explainability and confidence scoring.

10 AI Agents
4 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: site-acquisition-agentic-worker

Problem Statement

The challenge addressed

Tower companies struggle with time-consuming, manual site acquisition processes that require coordination across multiple specialized disciplines including coverage analysis, planning permissions, structural engineering, financial modeling, and risk...

Solution Architecture

AI orchestration approach

Deploys a coordinated swarm of 10 specialized AI agents that work in parallel to analyze potential tower sites. The orchestrator agent delegates tasks, resolves conflicts, and synthesizes findings into actionable recommendations with full explainabil...
Interface Preview 4 screenshots

Mission Briefing configuration interface with AI model parameters, target area selection, and business requirements setup

Agent Assembly initialization showing 10 specialized AI agents with system status, bound tools, and model configurations

Live Agent Orchestration dashboard with real-time progress tracking, activity stream, and multi-agent collaboration monitoring

Executive Summary Report displaying site recommendations, portfolio NPV, investment analysis, and complete workflow execution

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

Mission Orchestrator

Complex multi-agent workflows require intelligent coordination to ensure proper task sequencing, conflict resolution, and comprehensive synthesis of diverse specialist outputs.

Core Logic

Decomposes mission objectives into sub-tasks, delegates to specialist agents based on capabilities, monitors progress, resolves conflicts between agent findings, and synthesizes all analyses into coherent recommendations with confidence scoring and evidence trails.

ACTIVE #1
View Agent
AI Agent

Coverage Intelligence Agent

Identifying optimal tower locations requires analysis of existing coverage gaps, population density, traffic demand patterns, and competitor network positioning.

Core Logic

Executes coverage gap analysis using GIS data, queries population databases, calculates RF propagation models, and identifies priority zones where new infrastructure will maximize coverage improvement and population served.

ACTIVE #2
View Agent
AI Agent

Site Discovery Agent

Finding suitable properties for tower installation requires searching vast property databases and evaluating accessibility, landlord availability, and site characteristics.

Core Logic

Searches commercial property databases, filters candidates based on technical constraints (height limits, site types), evaluates accessibility, identifies property owners, and generates a shortlist of viable candidates cross-referenced with coverage requirements.

ACTIVE #3
View Agent
AI Agent

Planning Intelligence Agent

Planning permission approval is uncertain and time-consuming, with varying success rates across different local authorities and site characteristics.

Core Logic

Queries historical planning decisions, analyzes local authority approval patterns, identifies constraints (conservation areas, height restrictions), and uses ML-based prediction to estimate approval probability with recommended approaches (standard application vs. pre-application consultation).

ACTIVE #4
View Agent
AI Agent

Structural Feasibility Agent

Tower installations require careful structural analysis to ensure load capacity, wind resistance, and foundation adequacy meet safety standards.

Core Logic

Calculates structural loads per Eurocode standards, analyzes wind load factors, designs optimal tower configurations for each site type (rooftop, greenfield, monopole), and assesses foundation requirements with engineering complexity ratings.

ACTIVE #5
View Agent
AI Agent

Financial Modeling Agent

Site investments require rigorous financial analysis including CAPEX/OPEX modeling, NPV calculation, and sensitivity analysis to ensure profitable deployment.

Core Logic

Calculates capital and operational expenditure, runs NPV/IRR analysis with configurable discount rates, performs Monte Carlo simulations for risk-adjusted returns, and generates sensitivity analysis to identify key value drivers.

ACTIVE #6
View Agent
AI Agent

Risk Assessment Agent

Site acquisition projects face multiple risk categories including planning, technical, financial, regulatory, and community risks that must be identified and mitigated.

Core Logic

Identifies risks across all categories using probability-impact matrix methodology, calculates aggregate risk scores, develops mitigation strategies with cost-effectiveness analysis, and tracks residual risk after mitigations.

ACTIVE #7
View Agent
AI Agent

ESG & Sustainability Agent

Modern infrastructure investments must consider environmental impact, carbon footprint, renewable energy potential, and community benefits to meet ESG commitments.

Core Logic

Calculates construction and operational carbon emissions, assesses solar and wind energy potential, evaluates community impact including job creation and digital inclusion, models net-zero pathways, and identifies sustainability certification opportunities.

ACTIVE #8
View Agent
AI Agent

Spectrum Intelligence Agent

5G and advanced network deployments require careful spectrum planning to optimize frequency allocation, minimize interference, and ensure future technology readiness.

Core Logic

Analyzes available spectrum bands (n78, n77, n258, n260), predicts RF interference patterns, assesses 5G-Advanced (Release 18) feature readiness, evaluates Open RAN compliance, and optimizes Massive MIMO configurations for maximum spectral efficiency.

ACTIVE #9
View Agent
AI Agent

Edge Computing Agent

Next-generation networks require edge computing infrastructure to enable low-latency applications, network slicing, and smart city integrations.

Core Logic

Assesses Multi-access Edge Computing (MEC) suitability, models latency profiles for URLLC applications, analyzes revenue-generating edge use cases (Industrial IoT, gaming, AR/VR), designs network slicing configurations, and plans smart city service integrations.

ACTIVE #10
View Agent
Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The AI Agentic Site Acquisition System transforms the site selection process through multi-agent orchestration. Users configure mission parameters through an intuitive briefing interface, then observe real-time agent collaboration as specialists analyze coverage gaps, discover candidate sites, evaluate planning viability, assess structural requirements, model financials, quantify risks, and evaluate ESG, spectrum, and edge computing factors. The system produces ranked recommendations with transparent reasoning chains and an executive summary for CXO stakeholders.

Tech Stack

4 technologies

RxJS for reactive state management and real-time streaming

Multi-agent orchestration with chain-of-thought reasoning

Tool/function calling simulation with RAG and database queries

Real-time token usage and cost tracking

Architecture Diagram

System flow visualization

AI Agentic Site Acquisition System Architecture
100%
Rendering diagram...
Scroll to zoom β€’ Drag to pan