ServiceNow Knowledge 2026 - Vantage Towers Adopts ServiceNow to Manage 55,000 Landlords and Redefines How It Measures Success

Why It Matters

The transformation streamlines a critical supply‑chain partner for mobile operators, reducing operational costs and improving service reliability. Faster, friction‑free landlord interactions also enable Vantage to scale its tower portfolio efficiently across eight markets.

Key Takeaways

• Vantage Towers digitized 55,000 landlord relationships using ServiceNow Lyra
• Resolution times dropped from weeks to minutes across eight European markets
• AI handles 20% of decisions; generative AI classifies all inbound messages
• Self‑service adoption by landlords is only 5%, indicating low user uptake
• Vantage measures “friction per outcome” to prioritize landlord experience over cost

Pulse Analysis

The European tower market is a hidden backbone of mobile connectivity, yet its most vulnerable link—landlord agreements—has traditionally been managed through paper, phone calls and fragmented systems. Vantage Towers, with 88,000 sites and a lean 800‑person workforce, faced a scalability paradox: expanding its tower footprint required rapid, reliable coordination with roughly 55,000 property owners. By deploying ServiceNow’s Lyra application, the company unified email, SMS, postal and voice interactions into a single digital hub, automatically enriching each case with SAP payment data and asset location details. This integration slashed issue‑resolution cycles from weeks to minutes, a shift that directly improves network uptime for operators like Vodafone and Deutsche Telekom.

Beyond speed, Vantage is pioneering a data‑centric KPI shift. Rather than tracking cost‑per‑transaction or average handling time, the firm now measures “friction per outcome,” a metric that captures the end‑to‑end effort a landlord experiences when seeking rent payment or service updates. The approach aligns with broader enterprise trends that prioritize experience over pure efficiency. Generative AI reads and categorises every inbound letter or email, while agentic AI now makes routing and prioritisation decisions for about 20% of cases. Although AI‑driven direct outreach remains experimental, the early adoption of these technologies demonstrates how telecom infrastructure providers can leverage intelligent automation to reduce manual hand‑offs and improve stakeholder satisfaction.

The rollout across eight markets also highlights the cultural and regulatory nuances of digital transformation. Language localisation, varying landlord expectations—from individual rooftop owners to multinational retail chains—and country‑specific leasing laws required a highly configurable platform. While internal adoption has reached 85%, landlord self‑service sits at a modest 5%, underscoring the need for gradual change management. Vantage’s experience signals to the wider telecom and real‑estate tech sectors that a hybrid model—combining robust SaaS foundations, strategic AI deployment, and novel KPIs—can unlock operational resilience and support aggressive network expansion without inflating budgets. As AI orchestration matures, companies that master friction‑focused metrics will likely set the benchmark for next‑generation infrastructure management.