Praiz analyzes every customer conversation and surfaces frustration, blockers, drops in usage and expansion signals. Your QBRs, summaries and action plans get generated along the way.
Praiz handles our scaling call volume and the team is super reactive and available anytime we need help.
The signal is there in the call, but it never makes it out. QBRs get prepared by hand, digging through scattered notes. Follow-ups go out late, or never. And churn only surfaces at renewal.
Most teams buy an AI tool and end up alone in front of an empty setup screen. At Praiz, we configure the agents ourselves, based on your objectives, your documentation and your calls. You can configure it all yourself if you prefer, but that is not the default.
Generates a detailed and structured summary of a Quarterly Business Review meeting, capturing all key discussions, customer feedback, decisions, and next steps for Customer Success follow-up.
Generates a clean, ready-to-send follow-up email after any type of meeting.
Detects and structures all explicit and implicit signals indicating a potential churn risk expressed by the customer during a conversation.
Detects and structures customer-expressed signals that indicate potential cross-sell or upsell opportunities during customer or commercial conversations.
Captures and structures all customer feedback expressed during a conversation, covering product, service quality, support, onboarding, and overall experience.
Analyzes and scores the customer’s expressed sentiment throughout a conversation, providing a structured and measurable view of the customer’s emotional state and perception.
A notetaker gives you the summary of one call. Praiz extracts typed fields that aggregate from one conversation to the next: signal type, severity, feedback theme. That is what lets you say fourteen accounts are voicing frustration, rather than just that one customer sounded unhappy on Tuesday.
No. Praiz integrates with Planhat and your CRM and sends the data extracted from conversations into them. It feeds your existing tools rather than replacing them.
An agent reads every transcript and extracts typed fields: signal type, severity, supporting verbatim. Because those are predefined values you define, signals aggregate and compare across accounts.
Praiz also captures phone calls through Aircall, Ringover and Minari, and in-person meetings through the mobile app. Your check-in calls count as much as your video meetings.
Yes. Private mode restricts every non-admin user to their own meetings, and video privacy defaults are set at company level.
Yes. Agent outputs can be posted to a Slack channel or emailed, with trigger rules based on the value of an extracted field. An account moving to high risk can fire an immediate alert.
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