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Reducing Operational Costs by Automating Back-Office Operations with Amantra Agentic AI

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Our client, a leading telecom provider, managed millions of customer accounts, billing records, and support requests daily. Despite significant investments in digital infrastructure, the company’s back-office operations covering tasks such as billing reconciliation, data entry, service activation, and compliance checks remained heavily manual and fragmented. This reliance on human-driven processes not only slowed operations but also led to high operational expenditure (OPEX) and scalability challenges.

The Challenge

The telecom’s back-office operations were under constant strain due to heavy manual workloads and disconnected systems.

Key Challenges

  • High OPEX:
    A large workforce was required to execute repetitive, rule-based processes, increasing operational expenses.

  • Process Inefficiencies:
    Manual data entry, validation, and reconciliations led to frequent errors and delays in task completion.

  • Limited Scalability:
    Expanding services or managing peak demand necessitated additional hiring, limiting agility and profitability.

  • Employee Burnout:
    Repetitive, low-value tasks resulted in declining productivity and rising attrition rates.

  • Customer Impact:
    Delays and inaccuracies in back-office operations directly affected billing accuracy, provisioning speed, and service quality.

The telecom needed an intelligent automation layer capable of orchestrating workflows, minimizing manual effort, and enabling end-to-end process optimization across its back-office ecosystem.

Agentic AI-Powered Back-Office Transformation

To address rising operational inefficiencies, the telecom deployed Amantra’s Agentic AI-powered automation layer, converting traditional back-office operations into a network of intelligent, self-optimizing workflows.

Key Capabilities

  • Intelligent Process Automation:
    Autonomous AI agents executed repetitive, rule-based processes such as billing, reconciliations, and data validation—eliminating manual dependencies and reducing OPEX.

  • Document Intelligence:
    Leveraging LLM-powered extraction, the system automatically processed data from invoices, contracts, and compliance forms with near-perfect accuracy.

  • Workflow Orchestration:
    AI agents seamlessly coordinated workflows across CRM, ERP, and regulatory platforms, ensuring data consistency and process transparency.

  • Decision-Making at Scale:
    Beyond automation, agents made context-aware decisions—handling approvals, routing escalations, and resolving exceptions dynamically.

  • Continuous Optimization:
    Built-in analytics continuously monitored process performance, identifying inefficiencies and self-tuning workflows in real time.

 

The Results

The implementation of Amantra’s Agentic AI automation delivered measurable operational and financial impact across the telecom’s back-office ecosystem.

  • 35% Reduction in OPEX – Automated workflows reduced dependency on large manual teams.

  • 65% Faster Processing Times – Routine back-office functions were completed in minutes instead of days.

  • 80% Fewer Errors – Intelligent validation and auto-correction significantly minimized human mistakes.

  • Improved Scalability – The system handled peak workloads effortlessly without additional staffing.

  • Enhanced Employee Productivity – Teams shifted focus from repetitive execution to high-value strategic initiatives.

 

Why This Matters

Back-office inefficiencies are often invisible to customers but directly drive up costs and reduce competitiveness. With Amantra Agentic AI, enterprises can reduce OPEX, boost accuracy, and build scalable operations, turning the back office into a strategic growth enabler instead of a cost burden. Cut costs, not performance. Transform your back-office with Amantra Agentic AI.