Embedded GenAI
Empower your team with AI-driven support that boosts service delivery and efficiency with our IT AI platform. Servicely’s built-in GenAI works across the board to enhance every interaction, streamlining processes and accelerating resolutions.
harness the power of embedded gen AI across your Service management processes
enhance human expertise
elevate service delivery
Empower Your entire organisation with Embedded Generative AI
Resolve requests 24/7 with our aI virtual agent
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Augment your service agents skills with a powerful aI-Copilot
Enhance your service experience
Increase the accuracy of your AI with retrieval-augmented generation
Complete your knowledge base without the hassle
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deliver a powerful omnichannel experience
boost service delivery and efficiency with servicely’s Embedded gen-AI
Choose from a range of LLMs or incorporate your own
Easily integrate the best AI models for your needs, or customise with your own
AI that gets smarter and more specific over time
Your AI evolves with every interaction, becoming a more tailored and powerful tool for your business needs.
Automate classification, incident summaries, and communication
Effortlessly streamline workflows by automating key tasks like ticket classification, summaries, and customer communications.
How servicely’s Embedded GenAI accelerates your service management
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Sign up for Demo
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FAQs
Generative AI (or GenAI) is a type of artificial intelligence (AI) that can create (or generate) original content in response to user prompts. The types of content that generative AI can produce varies, and may include text, images, videos, or other forms of data.
GenAI uses machine learning models containing vast amounts of data to train the AI on how it should respond to prompts and create content.
Servicely’s generative AI operates natively on the platform and can perform a wide range of tasks.
As a 24/7 virtual agent, it can answer users’ questions, surface information (including knowledge articles, policies and other documents), carry out actions to resolve common issues (e.g. resetting passwords, unlocking sessions, setting up guest Wi-Fi), create tickets from unresolved interactions and more.
As a copilot to your service agents, Servicely’s AI can classify and route tickets appropriately, recommend remediations to incidents, create ticket summaries, and draft communications to end-users.
In addition to it’s virtual agent and copilot functions, Servicely’s AI can also perform tasks like drafting knowledge articles from identified gaps in the knowledge base, pulling from available data on platform and externally to draft articles.
Servicely supports integration with a range of large language models (LLMs), including those hosted within the same AWS region as the Servicely instance. Some commonly used LLMs include ChatGPT and Claude.
In addition to AWS-hosted models, Servicely’s flexible architecture allows customers to connect with LLMs hosted on other cloud platforms, such as Azure or GCP, accommodating a diverse array of AI providers to suit specific enterprise requirements.
Yes, customers can integrate Servicely with their own secure LLM’s models if required.
Servicely takes an omnichannel approach to engaging with our AI. Users can engage with the virtual agent from within the Servicely platform, or via a range of integratable applications, including Microsoft Teams, Slack, and WhatsApp.
Servicely was born in the age of artificial intelligence, continuously enhancing its capabilities by analysing the techniques your top-performing agents use to resolve tickets and manage tasks. This process generates a rich data set that fuels the system’s learning, enabling it to suggest the most effective next steps based on past interactions.
The system's recommendations are driven by the volume and nature of data it has processed. This includes factors such as the frequency of similar issues, the consistency of resolution steps, and the overall occurrence of comparable incidents. As a result, Servicely adapts and becomes more proficient over time.
Most customers begin to see tangible improvements within the first few weeks as Servicely progressively refines its understanding and decision-making abilities, leading to continually enhanced performance and efficiency.
Retrieval-Augmented Generation (RAG) is the process of enhancing the accuracy and reliability of the output of generative AI model by having the AI refer to an authoritative knowledge base outside of it’s training data sources before it generates a response.
RAG helps fill gaps in an LLM by giving the AI access to deeper knowledge on a current or more specific topic.
For example, a LLM without RAG doesn’t know the specific terms of your internal policies, and if a user requested information on their policy-specified entitlements, it wouldn’t be able to answer accurately.
With RAG, Servicely’s AI within your instance has access to your enterprise-specific information, and can refer to and surface this information within the virtual agent, while copiloting tickets, and in a wide range of actions.