Real objections
See which questions slow conversion, expansion, or adoption.
See how it works[ INTAKE · SOLUTIONS ]
Resolve onboarding questions after the sale
The agent resolves onboarding and post-sale questions with each account’s real state, and cuts the manual setup, plan and integration calls after the sale.
Real context for onboarding and post-sale support
Turn conversations into shared context so the team knows what is happening, what repeats, and what should improve.
Clearer onboarding
Find where customers get stuck and create better guidance.
See how it worksAccount context
Review conversations and topics by account before replying.
See how it worksA knowledge base connected to daily work
Publish answers, connect documentation, and let AI use trusted knowledge before escalating to the team.
Explore help center
AI search
Customers get direct answers from your articles.
Connected docs
The team replies with up-to-date and consistent knowledge.
Team editor
Create clear articles with images, blocks, and useful sections.
Insights
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.
AI answers
Answer repeated questions before they reach the team
AI answers from your documentation and leaves only the conversations that need human judgment to the team.
INTEGRATIONS
Connect support with onboarding
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 it help GTM teams with onboarding?
It shows where users get blocked, reduces repeated questions, and gives sales, CS, and support shared context.
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.
