Business AI Automations

Sales & CRM Automations

4 min read

Sales teams spend too much time on administrative tasks instead of selling. These AI automations handle lead qualification, follow-ups, and proposals—letting your team focus on closing deals.

Blueprint 1: Lead Qualification Engine

Automatically score and route leads based on AI analysis of their inquiry.

WORKFLOW: Smart Lead Qualifier
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TRIGGER: New lead (form submission, email, or chatbot)
AI STEP: Analyze and score lead
    │  Prompt:
    │  "You are a sales analyst. Analyze this lead and score them.
    │  Lead Data:
    │  - Name: {{form.name}}
    │  - Company: {{form.company}}
    │  - Email: {{form.email}}
    │  - Message: {{form.message}}
    │  Scoring Criteria:
    │  - Budget mentioned ($10K+ = hot)
    │  - Timeline (this quarter = hot, exploring = warm)
    │  - Company size (enterprise = +1 level)
    │  - Specific use case mentioned = +1 level
    │  Output (JSON):
    │  {
    │    'score': 'hot/warm/cold',
    │    'company_size': 'enterprise/mid-market/smb/unknown',
    │    'budget_range': 'extracted or estimated',
    │    'timeline': 'immediate/this_quarter/exploring',
    │    'key_need': 'main pain point in one sentence',
    │    'suggested_approach': 'how to approach this lead'
    │  }"
ACTION: Create/Update CRM contact with AI enrichment
PATH: Based on score
    ├── [hot] → Notify SDR immediately via Slack
    │           → Schedule intro call (Calendly link)
    ├── [warm] → Add to nurture sequence
    │           → Send personalized follow-up email
    └── [cold] → Add to newsletter list
               → No immediate action

Blueprint 2: Meeting Notes & Follow-Up Generator

Transform meeting recordings into actionable follow-ups automatically.

WORKFLOW: Meeting Follow-Up Automation
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TRIGGER: Meeting recording completed (Zoom, Google Meet, Teams)
ACTION: Get transcript from recording platform
AI STEP: Analyze meeting and generate follow-up
    │  Prompt:
    │  "Analyze this sales meeting transcript and create follow-up materials.
    │  Transcript: {{meeting.transcript}}
    │  Attendees: {{meeting.attendees}}
    │  Duration: {{meeting.duration}}
    │  Generate:
    │  1. SUMMARY: 3-5 bullet points of key discussion topics
    │  2. ACTION_ITEMS: Tasks mentioned, with owners if stated
    │  3. CONCERNS: Any objections or hesitations raised
    │  4. NEXT_STEPS: Agreed-upon next steps
    │  5. FOLLOW_UP_EMAIL: Draft a follow-up email summarizing
    │     the meeting and confirming next steps"
ACTIONS (parallel):
    ├── Create tasks in CRM for action items
    ├── Save meeting notes to deal record
    ├── Create draft email in Gmail/Outlook
    └── Notify account owner via Slack

Blueprint 3: Proposal Draft Generator

Create personalized proposal drafts based on discovery call notes.

WORKFLOW: Proposal Draft Generator
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TRIGGER: Deal moves to "Proposal" stage in CRM
ACTION: Fetch deal and contact information from CRM
AI STEP: Generate proposal content
    │  Prompt:
    │  "Create a proposal draft for this sales opportunity.
    │  Company: {{deal.company}}
    │  Contact: {{deal.contact_name}}, {{deal.contact_title}}
    │  Industry: {{deal.industry}}
    │  Deal Size: {{deal.amount}}
    │  Notes: {{deal.notes}}
    │  Products Interested: {{deal.products}}
    │  Using our proposal template, generate:
    │  1. EXECUTIVE_SUMMARY: Personalized intro addressing their needs
    │  2. SOLUTION_FIT: How our products solve their specific problems
    │  3. IMPLEMENTATION: Suggested timeline based on their urgency
    │  4. PRICING_CONTEXT: Value-focused framing for the investment
    │  5. CASE_STUDY_MATCH: Which customer story is most relevant
    │  Tone: Professional, consultative, not salesy"
ACTION: Create document in Google Docs from template
ACTION: Insert AI-generated content into template
ACTION: Notify sales rep that proposal draft is ready

Blueprint 4: Win/Loss Analysis

Automatically analyze closed deals to extract insights for improvement.

WORKFLOW: Deal Analysis Engine
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TRIGGER: Deal closed (won or lost)
ACTION: Fetch complete deal history from CRM
    │   - Emails, call notes, meeting transcripts
AI STEP: Analyze the deal journey
    │  Prompt:
    │  "Analyze this completed sales deal and extract insights.
    │  Outcome: {{deal.status}} (Won/Lost)
    │  Company: {{deal.company}}
    │  Deal Value: {{deal.amount}}
    │  Sales Cycle: {{deal.days_in_pipeline}} days
    │  Competitor: {{deal.competitor}} or 'None'
    │  Deal History:
    │  {{deal.activity_log}}
    │  Analysis:
    │  1. KEY_FACTORS: Top 3 reasons for outcome
    │  2. TURNING_POINT: Critical moment in the deal
    │  3. COMPETITOR_IMPACT: How competitor affected decision (if any)
    │  4. IMPROVEMENTS: What could have been done differently
    │  5. PATTERN_MATCH: Similar deals we've seen before
    │  6. LESSON: One sentence takeaway for the team"
ACTIONS:
    ├── Update CRM with analysis fields
    ├── Add to win/loss database (Airtable)
    └── If patterns detected:
        → Notify sales manager for coaching opportunity

Blueprint 5: Automated Follow-Up Sequences

Keep leads warm with personalized, AI-generated follow-up messages.

WORKFLOW: Smart Follow-Up Engine
════════════════════════════════

TRIGGER: Lead hasn't responded in X days
ACTION: Fetch lead history and previous communications
AI STEP: Generate contextual follow-up
    │  Prompt:
    │  "Generate a follow-up email for this lead who hasn't responded.
    │  Lead: {{lead.name}} at {{lead.company}}
    │  Original Interest: {{lead.initial_inquiry}}
    │  Previous Emails Sent: {{lead.email_count}}
    │  Days Since Last Contact: {{lead.days_silent}}
    │  Industry: {{lead.industry}}
    │  Guidelines:
    │  - If 1st follow-up: Gentle check-in, add value
    │  - If 2nd follow-up: Share relevant case study
    │  - If 3rd follow-up: Offer different approach/timing
    │  - If 4th follow-up: 'Break-up' email, leave door open
    │  This is follow-up #{{lead.email_count + 1}}.
    │  Keep under 100 words. Be helpful, not pushy."
ACTION: Create email draft (don't send automatically)
ACTION: Notify sales rep to review and send

Quick Reference: Sales Automation Triggers

Trigger Platform Use Case
New lead/contact Salesforce, HubSpot, Pipedrive Lead qualification
Deal stage change Any CRM Proposal generation, alerts
Meeting completed Zoom, Meet, Teams Follow-up creation
No activity X days CRM automation Re-engagement
Deal closed Any CRM Win/loss analysis

Integration Tips

CRM Best Integration Method
HubSpot Native Zapier/Make integration, workflows
Salesforce Custom flows + Zapier/Make for AI
Pipedrive Zapier has deep integration
Close.com Zapier or API webhooks

Next: Let's explore operations and HR automations that streamline internal processes. :::

Quiz

Module 3: Business AI Automations

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