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This guide targets sales leaders, revenue operations professionals, and sales development managers seeking to automate repetitive sales tasks through Claude Code sales workflows. The primary focus is on implementation strategies for Claude Code in sales operations, specifically structuring repeatable workflows with proper approval steps. Coverage spans sales process automation across prospecting, research, qualification, outbound execution, and pipeline management, with global relevance and particular emphasis on B2B SaaS markets in North America and Europe.
How do Claude Code sales workflows turn repetitive sales tasks into automated processes without losing human oversight? This guide shows 25 structured workflows covering prospecting, research, qualification, outbound execution, and pipeline management. Each workflow includes four parts: input (data trigger), instruction (Claude prompt), expected output (deliverable), and approval step (human checkpoint). Fusse Network connects Claude Code to your CRM and sales tools, executing these workflows instead of just drafting them.
Prospecting and List Building
These workflows identify and enrich target accounts automatically while maintaining quality through approval checkpoints.
1. ICP Account Sourcing
Input: ICP criteria (industry, size, tech stack, funding signals)
Instruction: “Find 50 companies matching ICP using firmographic filters and recent funding data”
Expected Output: 50 qualified accounts with company details, funding round, decision-maker count
Approval Step: Sales leader removes existing customers and competitors
2. Contact Discovery and Enrichment
Input: Account list with company domains
Instruction: “Find VP/Director contacts, enrich with email, phone, LinkedIn, job tenure”
Expected Output: Contact database with verified emails, direct dials, profiles, tenure data
Approval Step: SDR verifies email deliverability above 85%
3. Intent Signal Monitoring
Input: Target accounts with domains and product keywords
Instruction: “Monitor for intent signals: pricing visits, competitor searches, category research”
Expected Output: Daily alerts showing high-intent activity, pages visited, search terms
Approval Step: AE confirms signal relevance before triggering outreach
4. Job Change Trigger Lists
Input: CRM contacts with LinkedIn URLs
Instruction: “Identify contacts who changed jobs in 30 days, prioritize moves to target accounts”
Expected Output: Job changers with new company, title, start date, relationship context
Approval Step: Rep reviews history and confirms re-engagement timing
5. Lookalike Account Generation
Input: Top 20 best-fit customers with firmographic data
Instruction: “Analyze common attributes, generate 100 lookalike accounts with similarity scores”
Expected Output: Ranked lookalikes with similarity percentage, shared attributes, contact count
Approval Step: Marketing validates criteria accuracy
Account and Contact Research
Deep account intelligence gathered and synthesized before outreach begins.
6. Account Intelligence Brief
Input: Account name and domain
Instruction: “Research recent news, product launches, executive changes, funding, tech stack. 200-word summary”
Expected Output: Brief with recent developments, initiatives, technology, pain points
Approval Step: AE validates accuracy, adds internal knowledge
7. Competitive Displacement Research
Input: Account name and competitor tool in use
Instruction: “Find pain points with current solution from reviews, social mentions, support forums”
Expected Output: 5-7 specific complaints with source links and frequency data
Approval Step: Sales engineer confirms technical accuracy
8. Buying Committee Mapping
Input: Account domain and deal size
Instruction: “Identify buying committee: economic buyer, technical buyer, champion, influencers, blockers”
Expected Output: Org chart with names, titles, LinkedIn profiles, buying process roles
Approval Step: AE validates structure and contact accessibility
9. Personalization Research
Input: Contact name, title, LinkedIn URL
Instruction: “Extract recent posts, shared articles, topics, professional interests from 90 days”
Expected Output: Summary of engagement with topics, opinions, conversation starters
Approval Step: SDR selects 2-3 most appropriate talking points
10. Technology Stack Analysis
Input: Company domain and industry
Instruction: “Identify tech stack: CRM, marketing automation, sales tools, integration points”
Expected Output: Technologies with confidence scores, implementation dates, integration opportunities
Approval Step: Solutions engineer validates findings
Qualification and Scoring
Instant, consistent qualification based on fit, intent, and readiness signals.
11. Inbound Lead Qualification
Input: Form submission with company, title, email, responses
Instruction: “Score lead: fit (0-40), intent (0-30), readiness (0-30) using ICP criteria”
Expected Output: Score with breakdown, qualification status, recommended action
Approval Step: Manager reviews scoring logic monthly
12. Meeting Qualification Check
Input: Booked meeting with attendee info and notes
Instruction: “Assess if attendees have authority, budget confirmed, timeline under 90 days”
Expected Output: BANT assessment with met/not met criteria, risk flags, prep recommendations
Approval Step: AE confirms qualification before accepting
13. Opportunity Scoring
Input: CRM opportunity with account data and engagement
Instruction: “Calculate win probability from engagement, champion strength, competition, budget, timeline”
Expected Output: Win probability with confidence factors, risks, improvement actions
Approval Step: Manager validates high-value opportunities quarterly
14. Lead Routing Logic
Input: Qualified lead with location, industry, size, product interest
Instruction: “Route to rep by territory, expertise, pipeline load, availability”
Expected Output: Assigned rep with routing reason, pipeline value, response time
Approval Step: Sales ops validates balanced routing
15. Disqualification Detection
Input: Lead with engagement data and history
Instruction: “Find disqualification signals: no budget, wrong use case, competitor, student, unresponsive 30 days”
Expected Output: Disqualification recommendation with reason, evidence, next step
Approval Step: Rep confirms reason before removal
Outbound Execution
Multi-channel outreach coordinated while maintaining personalization.
16. Signal-Based Email Generation
Input: Account with trigger (funding, executive hire, product launch)
Instruction: “Write email referencing trigger, connecting to pain point, offering value”
Expected Output: Email with subject line, body, CTA tailored to trigger
Approval Step: SDR reviews accuracy and tone
17. Multi-Touch Sequence Creation
Input: Target persona, pain point, campaign goal
Instruction: “Create 5-touch sequence: value email, case study, LinkedIn message, question email, phone script”
Expected Output: Complete sequence with messaging, timing, success metrics
Approval Step: Manager approves messaging and timing
18. LinkedIn Connection Request
Input: Prospect name, title, company, shared connection
Instruction: “Write LinkedIn request under 300 characters with shared connection or mutual interest”
Expected Output: Personal connection message with clear reason
Approval Step: SDR confirms shared connection accuracy
19. Follow-Up Email Timing
Input: Previous send date, open/click data, engagement history
Instruction: “Determine optimal follow-up timing and recommend message angle”
Expected Output: Send time with reasoning, message angle, alternative
Approval Step: Rep validates timing for this prospect
20. Objection Response Generation
Input: Objection text (pricing, timing, current solution)
Instruction: “Generate response with social proof, ROI data, question to continue”
Expected Output: Response addressing concern with counter-information
Approval Step: AE adjusts based on account context
Follow-up and Pipeline Management
Administrative tasks automated while maintaining deal momentum.
21. Meeting Follow-Up Summary
Input: Meeting recording or notes with attendees
Instruction: “Summarize discussion, action items with owners, next steps, timeline for email”
Expected Output: Summary with action items, deadlines, next meeting proposal
Approval Step: AE adds missed commitments
22. Stale Opportunity Reactivation
Input: Opportunities with 30+ days no activity and last notes
Instruction: “Generate re-engagement message with last conversation context, new value, next step”
Expected Output: Reactivation email with previous context and fresh reason
Approval Step: Rep confirms opportunity worth reactivating
23. CRM Data Update
Input: Email thread or call notes
Instruction: “Extract budget, timeline, competitors, decision process. Format for CRM”
Expected Output: Structured data ready for CRM fields
Approval Step: Rep validates extracted information
24. Deal Risk Assessment
Input: Opportunity with engagement, timeline, communication history
Instruction: “Identify risks: champion left, no executive engagement, timeline slip, competition, budget concerns”
Expected Output: Risk report with concerns, evidence, mitigation actions
Approval Step: Manager approves intervention strategy
25. Win/Loss Analysis
Input: Closed opportunity with outcome and notes
Instruction: “Analyze factors: what worked, what didn’t, competitive position, pricing, process insights”
Expected Output: Analysis with learnings, patterns, recommendations
Approval Step: RevOps incorporates insights into playbooks
Execute These Workflows with Fusse Network
These workflows require integration to execute. Fusse Network connects Claude Code to your CRM, enrichment databases, email platforms, and communication tools through its MCP server architecture. Instead of drafts, Claude Code sends emails, updates records, triggers sequences, and coordinates outreach while maintaining approval steps for high-value decisions.
The platform’s modular approach lets you start simple and expand as your team builds confidence. Each workflow maintains clear triggers, appropriate context, intelligent decisions, automated actions, human handoffs, and defined stop rules.
Request access to implement Claude Code sales workflows with Fusse Network.
