AI Virtual Agent
Give employees and customers the self-service they deserve with our AI-powered Virtual Agent

Transform Your IT Service with Our Intelligent AI Virtual Agent

Elevate your IT Service experience
50% reduction in IT service costs
60% of requests and issues resolved with AI self-service
50% increase in IT team productivity
24/7 access to support and solutions


personalised AI support for instant answers
deliver an omnichannel communication experience

Our Virtual Agent Advantages

Choose from a range of LLMs or bring your own

Surface specific info with RAG

AI that gets smarter over time

Shift service left-from level 1 to AI

Give instant service anytime, anywhere

Reduce IT service management costs
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FAQs
An AI virtual agent is a Generative AI model equipped with machine learning and Natural Language Processing (NLP) capabilities that is set up to interact with end-users in a conversational manner.
Whereas a Chatbot can provide low-level automation through following pre-configured questions and answers that follow different journeys, an AI virtual agent can handle a much wider breadth of enquiries.
Servicely’s AI virtual agent plays a critical role in transforming the service management of our customers, and can handle a wide range of functions:
- Resolve common incidents
- Carry out actions across integrated systems
- Log or fulfill requests
- Answer questions and surface knowledge, documents and other information
AI virtual agents free up your service agents time to focus on higher value work. By resolving common incidents and requests, answering questions, or simply triaging or directing tickets to the right person, service agents save hours of time each week having to complete automatable tasks, answer the same questions repeatedly, or reassigning incorrectly assigned tickets and tasks.
For end-users, virtual agents provide instant answers and resolution to issues, meaning they’re not stuck waiting around for a service agent to receive and resolve an issue or request.
This delivers several key outcomes:
- Reduce service resolution times
- Increased response time
- Increased service team productivity
- Increase end-user satisfaction
- Reduce service management costs