Recurring questions
Spot patterns that appear again and again in support.
See how it works[ INTAKE · SOLUTIONS ]
Turn repeated tickets into product decisions
The agent resolves the repetitive work and shows which blockers keep coming back by plan, permissions, usage or configuration. Every repeated ticket is a product signal.
Understand what customers are asking for
Turn conversations into shared context so the team knows what is happening, what repeats, and what should improve.
Roadmap signals
Group blockers and requests to prioritize with real data.
See how it worksConnected feedback
Connect conversations, accounts, and context before deciding what to build.
See how it worksInsights
Detect patterns in what your customers ask
Identify volume, repeated topics, and opportunities to improve support, product, and communication.
Knowledge base
Connect documentation to daily support
Articles, internal docs, and answers become a trusted source for customers, agents, and AI.
INTEGRATIONS
Connect support with product
Sync conversations, customer data, and tasks with the tools your team already uses.
Privacy, control, and human oversight
The agent is designed to work with customer data in a controlled way, with secure access and human decisions when they matter.
GDPR-ready
Secure access
Data control
Frequently asked questions
How does product receive signals?
Support conversations are grouped by topics, blockers, and requests so product can see real patterns.
What is the agent?
The agent is an AI support agent embedded in your SaaS. It uses docs and real account state to resolve repetitive tickets before they load the team.
Does the agent replace the team?
No. The agent reduces repeated questions and escalates with context when a person is needed.
Can we use our own documentation?
Yes. Docs are the base, but the agent also uses plan, settings, usage, and account state when the answer depends on the user.
How do we get started?
Most teams start with the repetitive tickets that come up most often, connect docs, and expose the product data the agent needs.
