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AMER Tier-1 CSP drives ~29% project profitability uplift and prevents ~$120M misallocation

AMER Tier-1 CSP drives ~29% project profitability uplift and prevents ~$120M misallocation

Case Study

Case Study

Sep 3, 2025

Marketing Office

AMER Tier-1 CSP drives ~29% project profitability uplift and prevents ~$120M misallocation


Executive Summary

With a finance-first, vendor-neutral approach, the CSP realized ~29% project profitability uplift, ~35% faster financial planning cycles, and ~$120M in prevented misallocation, while aligning rollout timing and vendor commitments to real market and network conditions.


Customer

A major Tier-1 provider operating across the U.S., LATAM, and the Caribbean, facing uneven regional profitability and large-scale fiber/5G investments.


Situation

Finance needed end-to-end visibility from planning through execution to post-project analysis. Profitability was being estimated from vendor projections rather than CSP-specific techno-economics and market needs, and cash-flow timing often fell out of sync with network realities.


Challenges

  • Limited financial visibility at the planning stage, leading to overbuilds and underperforming assets.

  • Siloed financial modeling disconnected from real-time network conditions/forecasts.

  • Vendor-driven assumptions undermining ROI accuracy.

  • Cash-flow timing mismatches across regions with different density, ARPU, and cost profiles.


Customer Requirements

  1. Finance-led transformation that connects financial planning to live network and market conditions.

  2. Project- and portfolio-level profitability modeling (cash flows, NPV, IRR) tied to rollout choices.

  3. Before/after analytics to compare planned vs. actual cost, revenue, and cost/user.

  4. Cash-flow simulation to tune financing, vendor terms, and ramp-up schedules.


What the CSP Implemented with TelcoBrain

  • Financial + techno-economic decision suite integrated with finance, assets/inventory, operations, planning, and program management.

  • Digital/financial twin linking financial parameters to network conditions (rollout timing, SLAs, OpEx).

  • Profitability-driven planning at project, region, and technology levels.

  • Before/after intelligence on actual vs. planned performance.

  • Finance-aware AI assistants that understand the investment lifecycle and profit levers.


How Decisions Changed

Funding and prioritization shifted to projects and regions with the strongest modeled returns. Cash-flow schedules were adjusted to match realistic rollouts and revenue ramps. Vendor proposals were challenged with CSP-specific data rather than generic assumptions.


Results

  • ~29% improvement in project profitability through better prioritization and fund allocation.

  • ~35% reduction in financial planning cycle time (months → weeks) across investment portfolios.

  • ~$120M prevented misallocation by avoiding low-ROI overbuilds flagged early in simulation.

  • Improved cash-flow timing by phasing and scaling rollouts to match revenue and vendor commitments.

  • Finance–technology alignment with shared metrics for approvals and performance tracking.


Operational and Financial Impact

  • Portfolio discipline: capital steered to higher-return builds; weak cases identified early.

  • Fewer surprises: live network/market signals fed directly into financial plans.

  • Negotiation strength: lifecycle-true comparisons sharpened vendor discussions.

  • Continuous learning: post-project analytics informed the next planning cycle.


Capabilities Mapped to the Original Requirements

  • Integrated financial + network view: cash flows, NPV, IRR bound to network realities.

  • Scenario and sensitivity modeling: regions, technologies, vendor terms, timelines.

  • Before/after analytics: rigorous variance tracking on cost, revenue, and unit economics.

  • Cash-flow simulation: financing structures and vendor terms optimized for ramp-up.


Ready to see how these results translate to your network and portfolio?
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