Agentic AI for Telco AI Contact Center with Neuralith™

With Neuralith™, a global telco cut LLM costs by 35%, accelerated AI delivery, and achieved 95% contextual accuracy — all without system migrations.

( Scale )

5× faster data prep, system built in weeks

( Results )

80% faster AI delivery, 35%+ LLM cost reduction

( Company Overview )

Industry

Telecommunications

Company size

1,OOO - 5,OOO

Department

AI & Data

Use Case

Agentic Workflow

More info

This telecom provider serves millions of mobile and broadband customers across Central and Eastern Europe. With a strong focus on digital transformation, they are actively modernizing legacy infrastructure and investing in AI to improve customer experience and operational efficiency.

( 01 )

Their Challenge

The telecommunications company needed more than a basic chatbot. Existing solutions failed to meet enterprise-grade expectations — either lacking contextual accuracy or requiring long development cycles and rigid data pipelines.

They needed a platform that could:

Rapidly accelerate development and deployment
Deliver high-quality outputs with improved LLM performance
Seamlessly integrate proprietary and fragmented data sources
Avoid the need for major infrastructure overhauls

( 02 )

Our Solution

Using Neuralith™, Iris.ai built a tailored AI contact center designed to meet enterprise-grade demands for speed, accuracy, and seamless integration. The solution leveraged Neuralith’s modular architecture to orchestrate multiple AI agents across tasks like data retrieval, query routing, and LLM evaluation — all aligned with the client's internal systems and workflows.

The delivered solution included:

A customized agentic workflow to manage query handling, routing, and internal data retrieval
LLM evaluation and fine-tuning loops to drive consistent accuracy improvements
AgentOps infrastructure for transparent monitoring and optimization
Seamless integration with proprietary data, with no need for full-system migration

( 03 )

The Results

The Neuralith™ solution delivered a measurable impact within weeks. By combining agentic workflows, seamless data integration, and continuous LLM evaluation, the telecom provider moved from proof-of-concept to production-grade performance — fast.

Up to 80% acceleration on AI go-to-market
35%+ reduction in LLM usage costs
5× faster engineering turnaround on AI-ready data
95%+ contextual accuracy in data retrieval, outperforming a 65% industry benchmark
System built within weeks, outperforming other vendors

Key performance indicators

80%

Faster Delivery

Reduced AI go-to-market timelines by enabling deployment in weeks instead of months

35%+

Cost Savings

Lowered LLM usage expenses through optimized orchestration and reduced token consumption

Engineering Efficiency

Accelerated data preparation and integration tasks, cutting weeks of manual work into days

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( 04 )

What It Means for You and Your Team

For many enterprises, AI initiatives stall because solutions are slow to deploy, difficult to adapt, or fail to deliver meaningful results. Neuralith changes that. It helps you accelerate go-to-market timelines, reduce operational costs, and unlock measurable ROI from your AI investments — not months down the line, but from the very first deployment.

“We looked at 21 vendors, each promising cutting-edge solutions. But Iris.ai stood out immediately. Within just a few weeks, they delivered a fully working solution, not just a prototype or a proof of concept, but something we could actually use. It outperformed every other vendor we evaluated, both in terms of technical capability and practical application. What impressed us most was how quickly they grasped our challenges and delivered something genuinely useful. Iris.ai didn’t just meet our expectations, they quietly exceeded them in both speed and substance."

Chief Commercial Officer

Leading Global Telecommunications Company

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( QUESTIONS & ANSWERS )

FAQ

Quick answers about our platform and AI offerings

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Can Neuralith™ work with our existing tech stack and data sources?

Yes. Neuralith™ is designed for data interoperability. It integrates directly with your existing APIs, knowledge bases, CRMs, and proprietary tools — making it ideal for enterprises with fragmented or sensitive datasets.

Can we evaluate LLMs within Neuralith™ before going live?

Yes. Neuralith™ includes a built-in LLM Evaluation Framework that allows you to test different models (open-source or proprietary) and measure performance on criteria like factuality, semantics, readability, and intent alignment — before and during production. This ensures your AI agents are both accurate and aligned with business goals.

How does Neuralith™ ensure data security and compliance?

Neuralith™ can be deployed in a private cloud or on-premises setup, depending on your data governance needs. It also supports fine-grained access control, audit trails, and zero-retention data handling, making it suitable for enterprises operating in regulated industries.