Flyte

Sales example

AI sales workflows: from prospect to promoter

Connect sales preparation and follow-up with onboarding, retention, and referrals.

The problem

Where the work gets stuck

Research, proposal preparation, recordkeeping, and follow-up compete for the time sales teams need to build relationships.

The wider workflow shows how AI can support each stage of the revenue lifecycle. The reported time reduction applies specifically to proposal generation.

The workflow

From prospect to promoter

  1. Research accounts and market signals

    Input
    Client information, relevant sources, and market intelligence.
    AI supports
    Organize account context and surface useful market signals.
    People decide
    The rep checks sources and chooses which opportunities deserve attention.
    Output
    An account research brief.

  2. Prepare outreach, calls, and proposals

    Input
    Verified account context, conversation notes, and approved templates.
    AI supports
    Draft outreach, call briefs, and proposals using the relevant information.
    People decide
    The rep verifies claims, scope, and the message before use.
    Output
    Prepared materials for a sales conversation or proposal.

  3. Summarize and log the conversation

    Input
    Call notes, decisions, and agreed next steps.
    AI supports
    Prepare a summary, relevant system updates, and a follow-up email.
    People decide
    The rep checks the record and approves customer communication.
    Output
    An updated record and ready follow-up.

  4. Guide the next sales action

    Input
    Open commitments and current opportunity context.
    AI supports
    Surface prospects needing attention and prepare reminders and follow-up drafts.
    People decide
    The rep sets priorities and decides what to send.
    Output
    A focused follow-up queue.

  5. Standardize onboarding and support retention

    Input
    Sales commitments, onboarding requirements, and client behavior signals.
    AI supports
    Support consistent onboarding and surface behaviors associated with retention or a need for support.
    People decide
    The account team interprets the signals and decides how to support the client.
    Output
    A smoother handoff and more informed account support.

  6. Recognize advocates and referral opportunities

    Input
    Promoter scores, positive feedback, and relationship context.
    AI supports
    Surface customers who may welcome a referral conversation.
    People decide
    The relationship owner decides whether, when, and how to ask.
    Output
    Thoughtful opportunities to strengthen relationships and seek referrals.

What it takes

Inputs and ownership

  • Reliable account and conversation information.
  • Approved proposal and communication templates.
  • Clear ownership for sales follow-up, onboarding, and account relationships.

Result and scope

Approximately 94% less proposal generation time

Reported proposal result

Proposal generation dropped from four hours to 15 minutes: a 93.75% reduction, freeing three hours and 45 minutes per proposal for outreach and follow-up.

Note

Where does the 94% figure come from?

Four hours is 240 minutes. Reducing that to 15 minutes saves 225 minutes, or 93.75%, rounded to approximately 94%. This figure describes proposal generation time.

Keep exploring

Explore the related service: AI consulting

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