Smart CapEx CoPilot: AI-Powered Network Evolution Planning

Maximize network evolution ROI with Predictive Digital Twin. Make targeted investments with geospatial precision while reducing planning efforts by 80%.

Smart CapEx CoPilot: AI-powered network planning dashboard with geospatial Digital Twin

Smart CapEx Copilot Benefits

Elevate Decision Intelligence

Enhance Decision Intelligence with 80% time reduction for network scenarios simulation

Improve ROI by up to 18%

Direct investments precisely where they deliver maximum ROI through AI-driven geospatial intelligence.

Predict future QoE degradation hotspots

Accurately forecast areas where quality of experience will degrade before it affects customers.

Automate Network Planning

Let AI craft optimal deployment plans with precise geospatial targeting and implementation priority

Trusted By Industry Leaders

Tech MahindraIntelTMForum

Deployed in Tech Mahindra Innovation Lab

Included in TMForum DT4DI Top Use Cases Catalog

AI-Driven Network Planning & Investment Optimization

Smart CapEx CoPilot leverages our AI-powered Digital Twin to enable AI Driven Network Planning and real time Business Scenarios Simulation. By fusing live network data, financial metrics, and environmental sources into a precise geospatial model, it enables operators to craft network evolution strategies in minutes rather than weeks. It delivers predictive QoE mapping, automated deployment planning, and comprehensive business case generation - all with geospatial precision.

The entire solution can be operated through an intuitive AI chat interface, allowing CxOs and decision-makers to explore complex planning scenarios, evaluate investment options, and access insights through natural language conversations - significantly enhancing Decision Intelligence at the executive level.

Smart CapEx Copilot Use Case has been included in TMForum's DT4DI (Digital Twin for Decision Intelligence) Top Use Cases document release 9.0.0.

Smart CapEx Copilot Features

Smart CapEx Geospatial Digital Twin Creation: High-fidelity virtual replica of your network with all its complex dependencies.

Geospatial Digital Twin Creation

High-fidelity virtual replica of your network with all its complex dependencies.

Smart CapEx Future State Prediction: Predict Future QoE Degradation and Revenue hotspots with geospatial accuracy

Future State Prediction

Predict Future QoE Degradation and Revenue hotspots with geospatial accuracy

Smart CapEx Automatic Scenarios Simulation: Test multiple network evolution strategies, budget allocations, and deployment sequences in minutes.

Automatic Scenarios Simulation

Test multiple network evolution strategies, budget allocations, and deployment sequences in minutes.

Smart CapEx Automatic Network Evolution Planning: Simulate detailed network deployment strategies with business case prediction

Automatic Network Evolution Planning

Simulate detailed network deployment strategies with business case prediction

Smart CapEx ROI Optimization: Automatically rank and prioritize investments based on business impact, ROI, NPV, or custom metrics.

ROI Optimization

Automatically rank and prioritize investments based on business impact, ROI, NPV, or custom metrics.

Smart CapEx AI Assistant Module: Streamline interaction with Digital Twin by asking AI Agent to complete complex tasks

AI Assistant Module

Streamline interaction with Digital Twin by asking AI Agent to complete complex tasks

See It In Action

iPrism AI Powered Digital Twin: Agentic Network Planning Demo (MWC 2026)

AI Powered Digital Twin Case Study: Entire Network Evolution Strategy Delivered in 50 seconds!

AI Powered Business Case Analysis Demo (Digital Twin GenAI Agent)

Automated RAN Network Planning in 5 steps

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RCA Coworker

An autonomous AI coworker that closes the loop on network issues - and gets sharper grounded in the Digital Twin. It runs the root cause analysis itself, shows its reasoning, and applies the fix with your approval.

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A 15-minute demo of the digital twin and the AI agents, walked through on a real telecom scenario.