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IMSupporting

UK-Hosted Hybrid AI Live Chat for Customer Support

2026-03-04

Product Introduction

  1. Overview: IMSupporting is a UK-hosted hybrid AI live chat platform combining Retrieval-Augmented Generation (RAG) technology with human agent collaboration for regulated industries.
  2. Value: Reduces contact center demand by 40-70% through AI-powered deflection of repetitive inquiries while maintaining GDPR-compliant, human-supervised interactions.

Main Features

  1. RAG AI Knowledge Base: Context-aware responses sourced from your internal documentation with source citation capabilities to prevent hallucinations.
  2. Hybrid AI Handoff: Seamless transition between AI and human agents with full conversation context preservation for complex cases.
  3. Automated Workflows: Pre-built templates for account creation, password resets, and booking management that integrate with backend systems via API.

Problems Solved

  1. Challenge: Overwhelming volume of repetitive inquiries causing slow response times and agent burnout in compliance-sensitive industries.
  2. Audience: UK-based enterprises in healthcare, legal, public sector, and hospitality requiring GDPR-compliant solutions.
  3. Scenario: A city council deflects 65% of routine resident inquiries about bin schedules/payments via AI, freeing agents for complex welfare cases.

Unique Advantages

  1. Vs Competitors: Exclusive UK data residency ensures compliance with NHS DPS, PCI DSS, and GDPR unlike US-hosted alternatives.
  2. Innovation: Patent-pending RAG architecture combines real-time API data with knowledge bases for transactional capabilities during chats.

Frequently Asked Questions (FAQ)

  1. How does IMSupporting handle data security? All data processed and stored exclusively in UK-based AWS data centers with end-to-end encryption and ISO 27001 certification.
  2. Can it integrate with our existing CRM? Yes, via RESTful API and pre-built connectors for Zendesk, Salesforce, and Microsoft Dynamics.
  3. What's the AI accuracy rate? Our RAG system achieves 92% accuracy on first-response resolution, with human escalation paths for unresolved queries.

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