Applied AI / guided selling
Turn a chatbot into a guided sales journey.
Product discovery, qualification and human follow-up designed as one measurable path.
We build sales chatbots that use approved commercial knowledge, ask useful questions, recommend the next action and hand a structured opportunity to sales.
- Delivery
- Grounded answers
- Scope
- Qualified handoff
- Control
- Conversion measured
Guided selling path
Qualified next action- 01Intent
- 02Discover
- 03Compare
- 04Qualify
- 05Handoff
- 06Learn
The operating problem
A generic FAQ bot may answer questions while losing the buyer's commercial context. A sales system must help someone decide and preserve what the sales team needs next.
System mechanism
The AI sales conversation
Approved product knowledge and guided questions turn buyer intent into a useful recommendation and structured human handoff.
The AI sales conversation: a business workflow from request and approved context through controlled action, human review and a measurable result.
- 01Business triggerBuyer intent
The conversation starts from the page, product and question that created interest.
- 02Business contextCommercial knowledge
Approved offers, constraints, evidence and availability ground the answer.
- 03Decision supportGuided discovery
The assistant asks only the questions needed to clarify fit and next action.
- 04Useful actionRecommendation tools
Search, calculators or product rules support a relevant recommendation.
- 05Human gateSales handoff
The buyer can continue with a person, carrying a structured conversation summary.
- 06Business valueQualified sales opportunity
Sales receives buyer intent, useful context and a clear next action instead of a raw transcript.
Fatbunny responsibility
Fatbunny designs the conversation, knowledge boundary, qualification logic, recommendation tools, interface states, CRM or email handoff and conversion measurement.
Capabilities
- 01
Offer and buyer-intent mapping
- 02
Retrieval-backed product or service answers
- 03
Guided qualification and recommendations
- 04
CRM, email and booking handoff
- 05
Conversation and conversion analytics
Delivery decisions
- 01
Start from buying decisions, not a list of FAQs
- 02
Separate facts, recommendations and sales claims
- 03
Collect only information needed for the next action
- 04
Make human continuation visible throughout
Expected outputs
- 01
A production sales-assistant interface
- 02
Approved knowledge and qualification rules
- 03
Structured lead handoff and conversion reporting
Honest limits
- !
A sales chatbot cannot repair an unclear offer or missing product evidence.
- !
Pricing, suitability and regulated claims require explicit source and approval rules.
- !
Conversation transcripts are private operational data, not generic analytics events.
A sales chatbot has a commercial job
The job is not to keep someone chatting. It is to reduce uncertainty, reveal the relevant option and help the buyer take a qualified next step.
Ground answers in the offer
The assistant needs structured, approved information about products, services, constraints and evidence. Retrieval alone is not enough if the source material is vague or contradictory.
Design the human handoff
A good handoff preserves intent, questions, relevant options and missing information so the buyer does not have to restart the conversation with sales.
Direct answers
Common questions
What is an AI sales chatbot?
It is a grounded conversational interface that helps buyers discover, compare, qualify and continue to the right sales action.
Can it recommend products or services?
Yes, when recommendation rules, source information and uncertainty boundaries are explicit.
Does it replace the sales team?
No. It handles repeatable discovery and prepares a better human handoff for opportunities that need judgment.