A telecom operator planning 5,000 new 5G sites was 18 months behind its deployment schedule. Site selection required manual analysis of coverage gaps, population density, zoning regulations, and existing infrastructure — taking 3 weeks per candidate site.

Municipal permit applications were tracked in spreadsheets across 200+ jurisdictions, with 30% of permits expiring before construction could begin. RF planning and spectrum allocation were done by separate teams with no automated coordination. Construction sequencing was managed via email, creating scheduling conflicts and idle crews.

The operator needed integrated planning from demand mapping through construction completion.

The Solution

Agents that map demand, select sites, plan RF, allocate spectrum, track permits, and coordinate construction

Vijan.AI deployed 6 agents. The Demand Mapper predicts coverage needs from population density, current usage patterns, and growth projections. The Site Selector evaluates candidate locations using GIS, zoning databases, structural suitability, and lease costs. The RF Planner optimizes antenna configurations for coverage, capacity, and interference management. The Spectrum Allocator manages frequency assignments across the entire network. The Permit Tracker monitors municipal approval status across all jurisdictions with automated follow-up. The Construction Coordinator sequences build-outs, manages crew scheduling, and tracks completion milestones.

Autonomous Agents

How each agent reasons, decides, and acts

Step 1 · Network

Network Optimization Agent

Network Capacity Planning & Gap Analysis

Analyzes traffic growth and coverage gaps to prioritize tower builds, spectrum upgrades, and capacity expansions, autonomously generating capex plans and ROI models.

Input

Traffic forecasts, coverage maps, subscriber growth, competitor networks

Output

Expansion priorities, capex budgets, ROI models, site candidate lists

Calls network management system for traffic hotspots and congestion patterns
Calls coverage modeling tool to simulate signal strength and identify gaps
Autonomous decision: prioritize densification, rural expansion, or capacity upgrades
Routes site candidates to Tower Manager and Spectrum Analyzer

Step 2 · Tower

Tower Management Agent

Tower Site Acquisition & Construction Management

Sources candidate tower sites, negotiates leases, and manages permitting and construction, autonomously tracking milestones and ensuring on-time, on-budget delivery.

Input

Site candidates, zoning rules, lease terms, construction schedules

Output

Lease agreements, permit approvals, construction timelines, site activations

Calls site database to search available rooftops, towers, and monopoles
Calls lease API to retrieve landlord contacts and negotiate rental terms
Autonomous decision: approve site, negotiate terms, or escalate for executive approval
Routes approved sites to Spectrum Analyzer for frequency planning

Step 3 · Spectrum

Spectrum Analysis Agent

Spectrum Assignment & Interference Coordination

Assigns licensed spectrum to new sites, coordinates with adjacent carriers, and validates propagation models to ensure interference-free deployment.

Input

Licensed bands, site coordinates, neighbor cell data, propagation models

Output

Frequency plans, coordination agreements, propagation reports

Calls spectrum database for licensed frequency ranges and coordination zones
Calls propagation modeling tool to simulate coverage and interference
Autonomous decision: assign frequencies, coordinate with neighbors, or request FCC waiver
Routes frequency plans to Enterprise Deal agent for corporate coverage proposals

Step 4 · Enterprise

Enterprise Deal Agent

Enterprise Sales & Custom Coverage Solutions

Pursues large corporate contracts with custom coverage and pricing, autonomously generating RFP responses, designing network solutions, and closing multi-year deals.

Input

RFPs, coverage requirements, pricing constraints, competitor bids

Output

RFP responses, network designs, pricing proposals, signed contracts

Calls CRM to identify enterprise prospects and retrieve engagement history
Calls proposal generator to create custom coverage maps and SLA commitments
Autonomous decision: bid, no-bid, or partner with third-party integrator
Routes signed contracts to Account Manager for onboarding and support

Step 5 · Account

Account Manager Agent

Enterprise Account Management & Upsell

Manages enterprise customer relationships, autonomously monitoring SLA compliance, resolving issues, and identifying upsell opportunities for additional lines and services.

Input

SLA metrics, support tickets, usage trends, contract renewal dates

Output

SLA reports, issue escalations, upsell proposals, contract renewals

Calls contact database to schedule quarterly business reviews and check-ins
Calls contract API to track renewal dates and upsell eligibility
Autonomous decision: propose upsell, escalate SLA breach, or renew at current terms
Routes renewal and upsell outcomes to Employee Engagement agent for internal alignment

Step 6 · Engagement

Employee Engagement Agent

Sales Team Engagement & Performance Tracking

Monitors sales rep activity, pipeline health, and morale, autonomously recommending training, incentives, or territory adjustments to maximize enterprise revenue.

Input

Sales metrics, pipeline data, employee surveys, training records

Output

Performance dashboards, training assignments, incentive plans, territory adjustments

Calls survey tool to collect feedback on sales tools, support, and compensation
Calls HR system to retrieve sales quota attainment and tenure data
Autonomous decision: assign training, adjust quotas, or recommend territory realignment
Routes engagement insights to sales leadership for strategic planning

Results

Measurable impact within 90 days of deployment

30%

Faster Deployment

5G site deployment accelerated from 22 weeks average to 15 weeks per site. Schedule deficit recovered.

Zero

Expired Permits

Permit expiration eliminated through automated tracking and proactive renewal. Permit cycle time reduced 40%.

18%

Better Coverage

Population coverage per dollar invested improved 18% through data-driven site selection.

$45M

Cost Avoidance

Avoided $45M in unnecessary site builds through demand-driven planning and optimized RF coverage.

Implementation

From pilot to production in 12 weeks

Week 1-4

Agent Design & Tool Integration

Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.

Week 5-8

Shadow Mode & Autonomous Tuning

Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.

Week 9-12

Full Autonomous Deployment

Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.

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