- Customer supportIndustry
- Product & support teamsClient
- AI AgentsCategory
- Fast to valueTime to impact
The challenge
- Product teams field the same questions over and over, and new users drop off when onboarding is confusing or slow.
- Both eat support time and hurt activation.
Answers product questions and walks new users through onboarding, in their own words.
An agent that supports your product’s users. It answers their questions in natural language and guides new users through onboarding step by step, so people get value faster and the team handles fewer repetitive tickets.
What we built
- 01Answers product questions in natural language.
- 02Guides new users through onboarding step by step.
- 03Grounded in your product docs and knowledge base.
- 04Hands off to a human when it should.
How it works
What it can do
Question answering
Answers product questions in plain language.
Guided onboarding
Walks new users through setup step by step.
Docs-grounded
Backed by your product docs and knowledge base.
Human handoff
Escalates to a person when it should.
Who stays in the loop
The call the system deliberately does not take, and what the person is given to take it with.
An agent that supports your product’s users
The support team
Decidesanything the agent hands off, and anything the knowledge base does not cover
Seesthe conversation so far, and the reason the agent handed it over
The payoff
What is different once it is running. No invented numbers: these are the changes the work was built to make.
New users get unstuck and onboarded without waiting for a human, and support stops answering the same question twice.
Users get unstuck without waiting.
Faster onboarding and activation.
Fewer repetitive support tickets.
Built with
The layers this runs on, from what comes in to what it plugs into.
- Data in
- RAG
- Product knowledge base
- Model layer
- LLM
Common questions
The same answers as above, written out.
An agent that supports your product’s users. It answers their questions in natural language and guides new users through onboarding step by step, so people get value faster and the team handles fewer repetitive tickets.
Product teams field the same questions over and over, and new users drop off when onboarding is confusing or slow. Both eat support time and hurt activation.
A user asks a question or starts onboarding. The agent answers or guides them step by step. It hands off to a human when needed.
The support team decides anything the agent hands off, and anything the knowledge base does not cover. They see the conversation so far, and the reason the agent handed it over.
Data in: RAG, Product knowledge base. Model layer: LLM.
Users get unstuck without waiting. Faster onboarding and activation. Fewer repetitive support tickets.
Where this fits
The practice it belongs to, how an engagement like it runs, and what we have written about the subject.
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We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.