Your 12-person sales team manually researches prospects using LinkedIn Sales Navigator, company websites, and Google before every outreach. Current process: SDR receives lead → spends 35-45 minutes researching company size, tech stack, recent news, org chart → logs notes in Salesforce → crafts personalized email. Calculation: 12 SDRs × 20 leads/week × 40 minutes research = 160 hours/week at $75/hour = $624K/year in research time alone. Your SDRs book 8 meetings/week each vs. industry benchmark of 18-22 for AI-enabled teams. Business impact: You're leaving $1.2M+ in pipeline on the table annually because reps spend 60% researching and 40% selling. Meanwhile, competitors using Clay or Apollo AI research 200 leads/week per rep with 95% accuracy. Solution: Deploy AI prospect enrichment (Clay + ZoomInfo integration) connected to your Salesforce CRM to auto-populate firmographics, technographics, buying signals, and personalized talking points in under 3 minutes per lead. Expected outcome: Research time drops from 40 minutes to 5 minutes per lead, freeing 140+ hours/week for actual selling. Realistic savings: $156K/year in efficiency gains plus projected 2.5x increase in meetings booked.

Your 10-person CS team handles 1,100+ support tickets/month through Zendesk or Intercom, with 59% being routine questions already answered in your knowledge base or product documentation. Current process: Customer submits ticket → CS rep reads and categorizes → searches knowledge base → crafts response → sends reply. Average handling time: 18 minutes for routine tickets. Calculation: 650 routine tickets × 18 minutes × $65/hour = $12,675/month = $152K/year on repetitive work your knowledge base already solves. Business impact: First response time averages 4.2 hours (industry benchmark: 1 hour), directly contributing to your customer churn problem. Your NPS likely dropped 6-10 points in the last 2 quarters due to slow responses. At 51-200 employees with 10M-50M revenue, losing even 3 enterprise customers to poor support costs $180K+ annually. Solution: Deploy AI ticket triage and auto-response (Intercom Fin, Zendesk AI, or Freshdesk Freddy) trained on your existing knowledge base to instantly resolve 60% of routine tickets. Expected outcome: Reduce average first response from 4.2 hours to 12 minutes, cut routine ticket handling by 70%, saving $112K/year while improving CSAT scores by 15-20%.

Your 8-person marketing team manually creates campaign assets, writes email sequences, analyzes performance data across HubSpot/Marketo, and builds reports in Google Sheets. Current process: Campaign manager spends 6 hours/week pulling data from multiple sources → 4 hours building reports → 8 hours writing/editing content → 3 hours A/B test analysis. Calculation: 8 marketers × 12 hours/week manual work × $68/hour = $254K/year in operational overhead. With 40% automation potential, you're wasting $89K/year on tasks AI handles in minutes. Business impact: Your content velocity is 4 pieces/week vs. AI-enabled competitors producing 15-20 pieces/week. You're losing SEO ground and top-of-funnel visibility while competitors flood your target keywords. Solution: Deploy AI content generation (Jasper, Copy.ai) integrated with your marketing automation platform plus AI analytics (Improvado, Funnel.io) for automated reporting. Expected outcome: Reduce content production time by 65%, automate 80% of performance reporting, freeing 100+ hours/month for strategic work. Your content output triples without adding headcount.

Your 6-person finance team manually processes 400+ vendor invoices/month, reconciles transactions across QuickBooks/NetSuite and bank feeds, and spends 5+ days on month-end close. Current process: AP clerk receives invoice PDF via email → manually enters vendor, amount, GL codes into accounting system → routes for approval → files document. Each invoice takes 12-15 minutes. Calculation: 400 invoices × 13 minutes × $62/hour = $5,373/month = $64K/year on data entry alone, plus $45K/year in month-end overtime and reconciliation work. Business impact: 48-72 hour payment processing delays mean you miss 2% early payment discounts worth $18K/year on $900K annual AP. Late payments damaged 3 key vendor relationships last year. Your CFO spends 2 days/month on reports that should take 2 hours. Solution: Deploy AI document extraction (Nanonets, Rossum) integrated with your accounting system for automated invoice capture, plus AI reconciliation tools (Vic.ai, FloQast). Expected outcome: Invoice processing drops from 13 minutes to 2 minutes, month-end close reduces from 5 days to 2 days, saving $67K/year plus capturing $18K in early payment discounts.