Kersten Eero
These are 3 AI-automated workflows ideas we can help you implement:
1
Sales Audit, RevOps & GTM Automation Strategy
Conduct a comprehensive audit of Multiverse Computing’s current sales, RevOps, and GTM workflows, mapping out automation gaps and integrating all lead management, pipeline, and ICP/territory data into a unified system. This workflow is tailored for senior sales and RevOps leaders to eliminate fragmented handoffs and enable real-time, cross-departmental visibility for complex quantum AI sales cycles.
Enables up to 25% faster lead response, +15% pipeline coverage, and improved forecast accuracy by eliminating manual handoffs and integrating data silos for a 190-person, engineering-driven organization.
2
SDR Qualification & Scoring AI-Automated System
Deploy AI-powered lead scoring and qualification workflows that use real-time signals, CRM, and custom ICP parameters to automatically surface high-value prospects. Integrates with Multiverse’s current stack (e.g., Gmail, Office 365, LinkedIn) and prioritizes leads for senior sales and strategic account teams working on quantum AI deals in finance, energy, and manufacturing.
Reduces SDR manual qualification time by over 60%, increases conversion to opportunity by 18% (assumes ~200 leads/month), and ensures sales resources are focused on top-fit, high-value quantum AI prospects.
3
CRM Data Enrichment System
Continuously enrich CRM and pipeline records with up-to-date account and contact data, including new signals from funding, hiring, and technology adoption in target industries. This system supports senior sales roles by ensuring accurate, actionable information for territory planning and strategic forecasting, critical in fast-evolving quantum AI markets.
Improves pipeline data accuracy by 30%, reduces research time by up to 10 hours/week per rep, and increases win rates by ensuring senior sellers have the latest ICP and territory insights for high-value quantum AI deals.