Aisera screenshot

What is Aisera?

Aisera is an enterprise AI platform that combines large language models with search and knowledge management capabilities. It's designed to help organisations build AI assistants for customer support, IT help desks, and internal knowledge retrieval without requiring extensive technical expertise. The platform integrates with existing business systems and data sources, allowing companies to deploy AI chatbots that understand their specific processes, products, and documentation. Rather than relying on generic AI responses, Aisera grounds its answers in your organisation's actual information, reducing hallucinations and improving accuracy.

Key Features

AI chatbot builder

Create conversational assistants without coding; connect to your knowledge bases and business systems

Search integration

Combines semantic search with language models to find and present relevant information from your data

Multi-channel deployment

Deploy assistants across web, mobile, messaging platforms, and existing customer service tools

Enterprise knowledge management

Index and organise company documentation, FAQs, and internal processes for AI access

Analytics and insights

Track conversation performance, user satisfaction, and identify common questions or issues

Integration capabilities

Connect to CRM, ticketing systems, and other business applications for contextual responses

Pros & Cons

Advantages

  • Purpose-built for enterprise needs rather than generic consumer AI
  • Grounds responses in your own data, reducing incorrect or made-up answers
  • Can reduce support team workload by handling routine enquiries automatically
  • Freemium option lets you test functionality before committing to paid plans

Limitations

  • Setup and configuration require time to integrate with existing systems and knowledge bases
  • Quality of responses depends heavily on the quality and organisation of your underlying data
  • May not be suitable for highly specialised domains where generic AI knowledge is insufficient

Use Cases

IT service desk automation: Handle password resets, software requests, and troubleshooting for common issues

Customer support chatbots: Answer product questions and resolve common problems before escalating to human agents

Employee self-service: Help staff find company policies, HR information, and internal procedures

Sales enablement: Build AI assistants that help sales teams access product information and customer data quickly

Knowledge base assistant: Make large documentation repositories more accessible through conversational search