AI Implementation Gap
Moving from a working AI concept to a production-ready solution requires integration, governance and operational capabilities that many initiatives struggle to establish.
Put AI to Work Across Enterprise Operations
We bring agentic AI, managed AI services and intelligent workforce connectivity together to automate customer interactions, business processes and operational workflows at enterprise scale.
Industry Challenges
Moving AI from Experimentation to Operations Remains Difficult
Enterprises are accelerating AI adoption, but turning promising use cases into dependable production systems remains difficult. Integration complexity, specialist talent requirements and disconnected tools can prevent AI from becoming part of day-to-day business operations.
High Customer Engagement Costs
Contact centres are expensive to staff, difficult to scale for changing demand and increasingly complex to operate across multiple languages.
Generic AI Limitations
Off-the-shelf tools may not understand enterprise-specific workflows or integrate effectively with the systems required to execute real business processes.
Workforce Connectivity Challenges
Field and mobile teams need reliable connectivity and effective self-service support, while enterprise IT often has limited visibility into individual connectivity issues.
Specialist AI Talent Requirements
Building, deploying and maintaining custom AI models requires data science and machine-learning expertise that can be difficult to build and retain internally.
Solution Overview
Move AI from Isolated Use Cases into Business Operations
We help enterprises move beyond standalone AI initiatives by embedding intelligence into existing processes, connecting decisions with actions and reducing manual intervention. This enables AI to become part of everyday operations rather than remain limited to individual applications or experiments.
01
Automate Customer Engagement
AI agents manage routine and complex customer interactions, execute actions across enterprise systems and preserve context when human involvement is required.
02
Automate Business Workflows
Agentic AI coordinates multi-step processes across existing systems, helping reduce manual effort across activities such as onboarding, order processing and service operations.
03
Build AI Around Business-Specific Needs
Managed AI services provide a route to develop and operate custom models for requirements such as document processing, predictive maintenance and demand forecasting.
04
Support a More Connected Mobile Workforce
We help mobile teams monitor connectivity and resolve common network issues without relying on IT support.
Solution Capabilities
Connect AI with the Systems and Workflows That Run the Business
Agentic AI, managed model development and workforce intelligence work across existing enterprise environments to automate actions while maintaining appropriate control and oversight.
Agentrix Voice - Enterprise AI Call Centre
Production-ready voice AI manages customer interactions across 14+ languages, understands intent and works across CRM, ERP and ticketing environments to execute actions and escalate complex interactions with context intact.
AI-as-a-Service
We manage the AI lifecycle from data-readiness assessment and model design through development, deployment and ongoing operation, giving enterprises access to custom AI without building the complete capability internally.
Intelligent Mobile Engine - Workforce Edition
An enterprise-branded mobile application gives field and mobile teams connectivity diagnostics, network-quality visibility and self-service support to identify and resolve common issues.
Agentic Workflow Automation
AI agents execute multi-step business workflows across enterprise systems, coordinating tasks and decisions while keeping human oversight in place where required.
Enterprise System Integration
Integration with platforms such as Salesforce, ServiceNow, SAP, Microsoft 365 and custom APIs allow AI agents to work within existing business processes rather than operate as standalone tools.
Custom AI Model Development
AI-as-a-Service supports enterprise-specific models for document processing, predictive maintenance, demand forecasting, sentiment analysis and other business requirements.
AI Governance & Auditability
Audit trails, explainable decisions and configurable guardrails provide greater oversight of automated actions and support enterprise governance requirements.
Business Impact
Turn AI into Measurable Operational Value
Production AI in 4–6 Weeks
Agentrix Voice provides a production-ready AI call centre in 4–6 weeks, compared with the 6–12 months identified for custom development.
60% Reduction in Customer Engagement Costs
AI voice agents can handle 60–80% of inbound interactions without human involvement, from information requests to transaction processing.
Custom AI Without Building a Data Science Team
AI-as-a-Service provides the specialist expertise required to build, deploy and operate enterprise-specific AI models without creating the complete capability internally.
Fewer Workforce Connectivity Support Issues
IME self-service capabilities can reduce connectivity-related support tickets by 35%, helping mobile employees resolve common issues more independently.
Multilingual Scale
A single Agentrix deployment can support customers across 14+ languages, reducing dependence on separate language-specific customer-service teams.
Enterprise-Grade AI Operations
Carrier-grade infrastructure supports production AI services with 99.99% availability, sub-second latency and real-time failover.
Use Cases
AI Applied to Real Business Operations
Enterprise Contact Centre Transformation
A large enterprise deployed Agentrix Voice across three countries and five languages. Within 90 days, AI handled 70%…
A large enterprise deployed Agentrix Voice across three countries and five languages. Within 90 days, AI handled 70% of inbound calls, from order-status enquiries to technical support, while maintaining a 4.2/5.0 customer satisfaction score. Annual contact-centre savings exceeded $3M.
Predictive Maintenance with AI-as-a-Service
A manufacturing enterprise used AI-as-a-Service to build a predictive maintenance model using sensor data, maintenance logs and failure…
A manufacturing enterprise used AI-as-a-Service to build a predictive maintenance model using sensor data, maintenance logs and failure history. The model predicted equipment failures 72 hours in advance with 85% accuracy, reducing unplanned downtime by 40% and maintenance costs by 25%.
Mobile Workforce Connectivity
A logistics company deployed IME across 5,000 field drivers to provide real-time coverage visibility, automated connectivity diagnostics and…
A logistics company deployed IME across 5,000 field drivers to provide real-time coverage visibility, automated connectivity diagnostics and self-service troubleshooting. Driver connectivity complaints fell by 60%, while coverage intelligence was also used to improve route planning.
Document Processing Automation
An insurance company used AI-as-a-Service to automate claims-document processing across English and Arabic documents. The system extracted information…
An insurance company used AI-as-a-Service to automate claims-document processing across English and Arabic documents. The system extracted information from medical reports, invoices and police reports, processing 80% of claims documents without human review and reducing processing time from five days to four hours.