Thunai

Description

Thunai is an agentic AI customer experience platform for enterprises and support teams. It automates level-one support, surfaces knowledge instantly, and works across the full ticket lifecycle, deflecting a large share of routine queries before they reach a human agent while routing complex cases to the right team.

The platform spans voice, chat, and email through AI agents, and it assists human agents with real-time contextual guidance during live calls and chats. After each interaction it automates post-call work such as case summaries, CRM updates, and follow-ups, and it scores every interaction against custom quality and compliance parameters.

At its core is Thunai Brain, a unified knowledge base that resolves contradictions between documents to provide a single, contradiction-free source of truth for both human and AI agents. The suite also includes omnichannel support, customer feedback intelligence, revenue intelligence, an AI meeting assistant, and multilingual support across more than 150 languages.

Thunai is built for enterprise trust with SOC 2 Type II, ISO 27001, and GDPR compliance, on-premises and regional data residency options, and role-based access controls. It natively integrates with 50+ enterprise platforms including Amazon Connect, Genesys, RingCentral, Microsoft Teams, Salesforce, and ServiceNow, with deployment measured in days.

Thunai's Core Features

• AI voice, chat, and email agents that auto-resolve L1 requests

• Real-time agent assist with contextual guidance during live interactions

• Automated post-call workflows for summaries, CRM updates, and follow-ups

• Thunai Brain unified, contradiction-free knowledge base

• AI call scoring and automated interaction audits

• Multilingual support across 150+ languages

• Native integration with 50+ enterprise platforms and CCaaS tools

• On-premises deployment, regional data residency, and role-based access

How to use Thunai?

1. 1

   Request a demo: Book a session with the Thunai team to scope your support volume and use cases.

2. 2

   Connect your knowledge: Load documents, SOPs, and product details into Thunai Brain as a single source of truth.

3. 3

   Integrate your stack: Connect CRM and contact-center platforms such as Salesforce, Amazon Connect, or Genesys.

4. 4

   Deploy AI agents: Set up AI voice, chat, and email agents to auto-resolve L1 requests and route complex ones.

5. 5

   Assist and automate: Give live agents real-time guidance and automate post-call summaries, updates, and scoring.

Thunai's Use Cases

• L1 support automation
• Real-time agent assist
• Post-call automation
• Quality and compliance auditing
• Enterprise knowledge management

FAQ from Thunai

• What does Thunai do?

  Thunai is an enterprise AI customer experience platform that automates L1 support, surfaces knowledge instantly, and works across voice, chat, and email to resolve tickets faster while assisting human agents.

• What makes Thunai different from enterprise search?

  Thunai's knowledge brain actively resolves contradictions between documents and integrates directly into live agent workflows, going beyond simple keyword-based enterprise search.

• Which platforms does Thunai integrate with?

  Thunai natively integrates with 50+ enterprise platforms including Amazon Connect, Genesys, RingCentral, Microsoft Teams, Salesforce, and ServiceNow, allowing deployment in days.

• How does Thunai handle sensitive data?

  Thunai uses end-to-end encryption, role-based access controls, and is SOC 2 Type II, ISO, and GDPR certified, with on-premises deployment available for strict data sovereignty requirements.

• How quickly can Thunai be deployed?

  Standard AI voice agent configurations can be set up in as little as 30 minutes, and full enterprise rollouts with CRM and CCaaS integrations typically go live within days.

• How does Thunai help with support automation?

  It deploys AI agents across voice, chat, and email, gives agents real-time answers during live conversations, and automates post-call tasks such as CRM updates and summaries while deflecting routine L1 queries.