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Applied AI use case / lead qualification chatbot

Qualify buyer intent before the sales conversation starts.

Guided discovery, fit rules and structured handoff connected to the offer and the next commercial action.

The assistant asks only the questions needed to determine fit, recommends the next action and sends sales a structured opportunity rather than a raw transcript.

Delivery
sales
Scope
Human-owned
Control
Measured outcome

Business workflow

Qualified opportunity
  1. 01Buyer intent
  2. 02Guided discovery
  3. 03Offer knowledge
  4. 04Fit decision
  5. 05Sales handoff
  6. 06CRM opportunity
  7. 07Qualified next action

The operating problem

Generic enquiry forms and chatbots collect messages without revealing fit, urgency, buying context or the next useful sales action.

System mechanism

Lead qualification chatbot workflow

A real operating path showing the information, decisions, systems and accountable people required to produce a useful result.

Lead qualification chatbot: Buyer intent to Guided discovery to Offer knowledge to Fit decision to Sales handoff to CRM opportunity to Qualified next action.

  1. 01
    Business inputBuyer intent

    The page, offer and question that created interest enter the journey.

  2. 02
    Controlled workflowGuided discovery

    The assistant asks the minimum useful fit questions.

  3. 03
    Approved contextOffer knowledge

    Approved suitability, evidence and commercial constraints ground the conversation.

  4. 04
    Decision pointFit decision

    Known rules identify sales, self-service or nurture paths.

  5. 05
    Human gateSales handoff

    A person receives intent, relevant answers and missing information.

  6. 06
    Business systemCRM opportunity

    The structured lead and next action are prepared in the sales system.

  7. 07
    Business valueQualified next action

    The buyer progresses without repeating the discovery conversation.

Fatbunny responsibility

Fatbunny maps the current workflow, information authority, decision owners, integration boundary, review states and measurable release criteria before implementing the automation.

Capabilities

  1. 01

    Current-workflow and exception mapping

  2. 02

    Retrieval and source-authority design

  3. 03

    Bounded tools and system integration

  4. 04

    Human review and outcome measurement

Delivery decisions

  1. 01

    Define the business result before selecting a model

  2. 02

    Keep deterministic rules outside probabilistic interpretation

  3. 03

    Return missing evidence and consequential action to an owner

  4. 04

    Measure the completed workflow rather than model activity

Expected outputs

  1. 01

    An agreed workflow and operating boundary

  2. 02

    A working scenario connected to approved information and systems

  3. 03

    Evaluation evidence, ownership controls and a measured next backlog

Honest limits

  1. !

    Automation cannot repair missing source information or unclear decision ownership.

  2. !

    Sensitive data and consequential actions require explicit permissions and review.

  3. !

    A convincing demonstration is not treated as production evidence.

Start with the real work

Generic enquiry forms and chatbots collect messages without revealing fit, urgency, buying context or the next useful sales action.

The first release should remove a specific coordination constraint without hiding missing information or transferring accountability to a model.

Connect information, decisions and systems

The workflow may involve Website, Offer knowledge, CRM, Booking and email. Each connection receives a narrow purpose, known failure behavior and a responsible owner.

Measure the business result

Useful evidence includes qualified opportunity, faster sales response, better nurture routing. Model confidence and conversation volume are not substitutes for those outcomes.

Direct answers

Common questions

What does lead qualification chatbot automate?

The assistant asks only the questions needed to determine fit, recommends the next action and sends sales a structured opportunity rather than a raw transcript.

Does the AI make every decision?

No. Known rules remain deterministic, and uncertain or consequential work returns to the accountable person shown in the workflow.

Can this connect to existing business systems?

Yes, when those systems provide suitable APIs, exports, CLI operations or MCP tools with appropriately scoped access.