AI Sales CRM Automation Powered by Claude

• The engagement scoring process was entirely manual. Regional sales leads had to export data to spreadsheets, calculate scores by hand, and distribute reports weekly. This consumed 8-10 hours per region per week, diverting valuable time from strategic activities and creating delays in lead prioritization;
• The CRM could identify which contacts were engaging with content but could not automatically recommend the next best action. Sales reps spent excessive time deciding which content to send to which prospects, often resorting to generic outreach that failed to resonate. This resulted in missed opportunities, lower conversion rates, and inconsistent sales execution across regions.

• Claude extracts and analyzes real-time funnel data – including contact history, email interactions, meeting activity, and content consumption – to detect engagement signals across multiple dimensions. The system dynamically calculates engagement scores per contact, per region, and per funnel stage;
• Claude powers dynamic dashboards that visualize engagement score trends in real time. Sales leaders can track funnel progression, identify which activities drive engagement, monitor regional performance, and spot at-risk deals before they stall;
• Claude automatically segments the entire funnel by industry, role, and company type, matches the right content to each audience segment, and generates actionable tasks inside the CRM for each sales rep – recommending exactly which content to send to which contact and when.

The resulting solution features:

• The highest priority was eliminating the manual engagement scoring process. Andersen built a Claude-powered engine that automatically extracts and processes data from across the CRM, calculates engagement scores in real time, and makes these scores visible to every sales leader without manual intervention;
• Data alone is not enough – the solution needed to tell sales reps what to do with it. Andersen built a recommendation layer powered by Claude that analyzes each prospect's profile and engagement history, then suggests the most appropriate content and outreach action. This closed the loop between analytics and execution;
• Andersen prioritized user experience to ensure rapid adoption. The dashboards were designed to be intuitive, requiring no training for sales leaders to start using them. The task generation feature was integrated directly into the existing CRM workflow so that reps could act on recommendations without switching between systems.

This project succeeded in achieving an entire range of results:

• The manual engagement scoring process was fully automated, eliminating 8–10 hours of work per region per week – a 90% reduction in time spent on this task. Weekly sales review meetings were streamlined from 90 minutes to 25 minutes, a 72% reduction;
• Sales representatives increased time spent on high-value selling activities from approximately 30% to 65% – a gain of 35 percentage points. Reps now spend more time engaging with prospects and less time on manual processes;
• The funnel conversion rate from lead to opportunity improved from 18% to 27%, representing a 50% increase. Content personalization rates increased from approximately 20% to 75% of outreach – a 55 percentage point improvement;
• Regional sales leader satisfaction improved from 2.8/5 to 4.6/5, a 64% increase. The solution has been adopted by over 85% of sales representatives within three months. Mantah has expanded the solution to include their customer success team, applying similar logic to retention and upsell opportunities.