Agentic AI Powered IVR and Call Center Automation

About the Project

Every insurance company eventually reaches a point where its contact centre stops being a competitive advantage and starts becoming an operational bottleneck. For one of the region’s leading cooperative insurance companies, that moment had arrived. Managing more than 12 million claims annually across motor, medical, and general insurance, the organisation operated a large-scale contact centre with over 300 agents handling inbound calls across claims, renewals, policy servicing, and medical pre-authorisation workflows. At the centre of the operation sat a legacy DTMF IVR system built around static button-based phone trees. “Press 1 for claims. Press 2 for renewals. Press 3 for medical.” The system could not understand why customers were calling. It could not resolve issues autonomously. It could only route calls, and during peak periods, even that became inefficient. Customers experienced long wait times, missed calls, repetitive transfers, and frustrating navigation flows. Agents were overwhelmed during seasonal spikes such as motor accident surges and renewal periods. Human error rates were rising, onboarding costs remained high, and customer expectations had already moved far beyond what the existing infrastructure could deliver. The organisation partnered with Kreate Technologies to completely replace the legacy IVR with an Agentic AI-powered conversational voice platform capable of understanding customer intent, autonomously resolving insurance workflows, and intelligently escalating only when human intervention was truly necessary.

Sector: Cooperative Insurance (Motor | Medical | General) Scale: 100+ Agents | 12M+ Claims Annually Capital: SAR 1.5B | S&P A- Stable Kreate Technologies’ Role: End-to-End Agentic AI Platform Engineering

The Challenge

Problem Statement

The insurer’s contact centre had grown to enterprise scale, but the underlying customer interaction model remained fundamentally outdated. The legacy IVR system relied entirely on static DTMF navigation trees that forced callers to manually select options before ever reaching support. The system had no conversational intelligence, no contextual understanding, and no ability to autonomously complete customer requests. As call volumes increased, the operational strain became more severe. More than 300 agents were handling high volumes of repetitive customer interactions, especially during renewals, claims spikes, and medical approval periods. Missed calls increased outside business hours, onboarding new agents required extensive training cycles, and policy delivery errors introduced growing operational and compliance risks. At the same time, the broader insurance industry was rapidly shifting toward AI-driven automation. The organisation recognised that continuing to scale traditional contact centre operations would become increasingly expensive, inefficient, and unsustainable. The business needed more than a smarter IVR. It needed a fully intelligent conversational platform capable of understanding, deciding, acting, and resolving workflows in real time.

Key Issues Involved

Legacy DTMF IVR system with no conversational capability
High dependency on human agents for repetitive workflows
Peak-period call centre overload during renewals and claims spikes
30% missed call attempts due to limited operating hours
35% annual agent attrition creating constant staffing pressure
45-day onboarding and training cycles for new agents
Low first-call resolution rates for routine customer queries
Rising policy delivery errors and compliance risks
Poor customer experience caused by menu-based call routing

Notable Impact

Increased operational costs from manual customer servicing
Long customer wait times and abandoned calls during peak periods
12% policy delivery error rate prior to automation
Inefficient scaling of customer support operations
Reduced customer satisfaction caused by repetitive transfers
Overloaded agents handling low-value operational tasks
Inconsistent service quality during seasonal volume spikes

Our Solution

Kreate Technologies replaced the legacy IVR entirely with a fully conversational Agentic AI platform designed specifically for large-scale insurance contact centre operations. Instead of routing callers through menus, the platform uses a central LLM orchestrator capable of understanding customer intent in real time and dispatching specialised AI agents to autonomously handle specific workflows. The solution combines conversational AI, real-time intent classification, multi-agent orchestration, sentiment analysis, enterprise integrations, and autonomous reasoning into a unified voice automation platform capable of resolving insurance interactions end-to-end.

Implementation Phases

Phase 1: Discovery and Contact Centre Analysis

Analysis of inbound call volumes and customer intent distribution
Identification of repetitive workflows suitable for AI automation
Mapping of telephony and enterprise system architecture

Phase 2: Multi-Agent AI Platform Design

Design of central LLM orchestration architecture
Development of specialised AI agents for claims, renewals, medical, and escalation workflows
Intent classification framework creation across 47 insurance intent categories

Phase 3: AI Model Training and Fine-Tuning

ASR and NLU training using insurance-specific conversation datasets
Fine-tuning models for regional accents, terminology, and unscripted customer speech
Sentiment analysis engine training using historical interaction patterns

Phase 4: Enterprise System Integration

Integration with core insurance systems and CRM infrastructure
Payment gateway and medical provider network connectivity
SIP trunking and telephony infrastructure deployment

Phase 5: Deployment, Compliance, and Continuous Learning

Regulatory validation and security compliance testing
User acceptance testing and phased rollout
Continuous monitoring, model retraining, and AMC support

Results

Business Outcomes

68% Query Containment Rate — More than two-thirds of customer interactions were resolved autonomously without requiring live agents
40% Reduction in Average Handle Time — AI-driven workflows significantly reduced call handling duration across all major interaction categories.
22 Percentage Point Improvement in First-Call Resolution — Customers received faster resolutions without repeated transfers or callbacks.
4.1/5 Customer Satisfaction Score — AI-handled interactions achieved strong customer satisfaction performance within the first 90 days.
1.8 Second Average NLP Response Latency — Real-time conversational responsiveness created smooth and natural customer experiences.

Operational Impact

Policy Delivery Error Rate Reduced from 12% to 0.3% — Automation dramatically improved operational consistency and reduced compliance risks.
Agent Onboarding Reduced from 45 Days to 2 Weeks — Human agents shifted toward complex and high-value interactions while routine workflows became automated.
Near Elimination of Queue Overflow — The platform scaled automatically during seasonal peaks without service degradation.
24×7 Intelligent Availability — Customers gained continuous access to conversational support across all insurance workflows.
Full Regulatory Compliance from Day One — Security, auditability, and data residency requirements were implemented prior to go-live without operational delays.

Key Takeaways

Traditional IVR systems are no longer capable of meeting modern insurance customer

Conversational AI platforms are most effective when designed to resolve workflows instead of simply routing interactions

Multi-agent AI architecture enables more accurate and scalable automation than single chatbot systems

Real-time intent classification dramatically improves customer experience and operational efficiency

Warm AI-to-human handoffs reduce customer frustration and improve escalation quality

AI-powered automation significantly reduces onboarding time, operational cost, and compliance risk

Enterprise-grade conversational AI can successfully handle complex insurance workflows at large scale

24×7 intelligent automation allows insurers to absorb seasonal spikes without expanding call centre operations

Ready to Move Beyond the Legacy Model?

Every day a contact centre runs on a static IVR, it’s absorbing costs it doesn’t need to carry, missing calls it doesn’t need to miss, and delivering an experience that policyholders are quietly comparing to every other digital service they use. The technology to change that is proven, the results are documented, and the process of getting there is clear.

Agentic AI Powered IVR and Call Center Automation

About the Project

The Challenge

Problem Statement

Key Issues Involved

Notable Impact

Our Solution

Key Solution Components

Real-Time Intent Classification

Multi-Agent AI Architecture

Autonomous Workflow Resolution

Claims FNOL Agent

Policy and Renewal Agent

Medical Pre-Authorisation Agent

Sentiment Detection and Warm Handoffs

24×7 Scalable Voice Infrastructure

Enterprise Integration Layer

Compliance and Security Architecture