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Introduction

Through event-based machine learning and natural language processing engines, newcomer Agent.ai enables businesses to respond to customers via a three-stage automation process. The vendor also offers two modes of support: co-pilot and auto-pilot.

Highlights

  • The company uses a three-phase approach to embedding AI into clients' CRM and messaging platforms.
  • Clients can choose between two modes of AI support: co-pilot mode and auto-pilot mode. The former acts as an agent-guided response system, while the latter addresses first-level queries.

Features and Benefits

  • Discusses how its AI-powered chatbot suggests responses to customer questions using learnings from customer and agent interactions, support ticket resolutions, company knowledge base, FAQs, and data from custom-selected in-app events.
  • Demonstrates how a learning feedback loop helps improve agent and customer recommendations with time.
  • Shows how two different modes offer clients the choice to automate the chatbot responses or to put agents in control with guided assistance from the chatbots.

Key questions answered

  • How does Agent.ai increase its automation over the three stages?
  • What are the two primary forms of measurement that Agent.ai uses?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Agent.ai on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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