Conversational AI

Conversational AI feature shown in the Planhat platform

Conversational AI

AI-powered insights from every message

AI-powered insights from every message

Get a real-time view of customer sentiment and topics across accounts, portfolios, and teams — use this data to power health scores, trigger automations or early risk detection. Planhat automatically analyzes incoming emails, chats, and call transcripts to detect sentiment (positive, neutral, or negative) and assign a category (like Support, Billing, or Product Feedback). Use conversation summaries to instantly generate concise, AI-powered summaries of customer conversations to save time, capture context and key take aways.

01

Track Relationship Health Over Time

Leverage sentiment insights across customer and contact interactions to identify which accounts and stakeholders need attention. Use this data to feed into health scores, reporting, and team performance tracking.

02

Action Based on Sentiment

Use sentiment scores across conversations, contacts, and accounts to trigger automations at the right time — helping you take action on relationships that need strengthening or when potential advocates are identified. Move beyond subjective judgment and base your analysis on real data.

03

Understand Every Customer Conversation

Automatically analyze emails, chats, and call transcripts to assign topic — at scale. Save time by summarizing conversations with the click of a button to avoid spending time reading through long email threads.

Discover the full power of Conversational AI

Discover the full power of Conversational AI

Discover the full power of Conversational AI

FAQ

FAQ

FAQ

What can you do with Planhat's Conversational AI that you can't do with a generic AI chat tool?

How does Planhat's Conversational AI reason about customer history rather than just current state?

How does Conversational AI reduce the time account managers spend preparing for meetings?

How does a conversation in Planhat translate into an operational action?

How does Planhat ensure accuracy and data privacy in AI conversations?