Justin Gonnella
These are 3 AI-automated workflows ideas we can help you implement:
1
Sales Audit, RevOps & GTM Automation Strategy
Implement a unified GTM automation audit to map, integrate, and automate Lockhern Digital’s diverse marketing and sales tools (HubSpot, Google Apps, Data Analytics, etc.). This workflow creates a centralized roadmap, eliminates manual silos, and ensures that campaign and attribution workflows are seamless across all client verticals.
Reduces tool-switching and manual data handoff time by 30–40% for a lean team (~10 FTE), freeing 8+ hours/week. Greater workflow efficiency enables Lockhern to scale client delivery and sustain high service quality without adding headcount, directly supporting revenue growth.
2
Clay Contacts Data Enrichment System
Deploy automated enrichment and deduplication for all prospect and client contact data. This system integrates with HubSpot and Google Apps to continuously clean, update, and append missing firmographic and attribution fields, ensuring every report, campaign, and client dashboard is reliable and actionable.
Cuts manual data cleaning and research by at least 60%, saving 3–5 hours per week per account manager. Consistent, enriched data boosts reporting trust and campaign accuracy, translating to more credible results for clients and higher retention.
3
SDR Qualification & Scoring AI-Automated System
Leverage AI to automatically score, segment, and route inbound and outbound leads according to dynamic growth-focused ICP criteria. Instantly aligns new opportunities with the right service pod or specialist, optimizing pipeline hygiene and forecasting accuracy across industries.
Improves lead-to-opportunity conversion by up to 20% through smarter, faster routing (assumes 100+ leads/month). Enhanced segmentation and scoring reduce pipeline bloat and forecasting errors, directly supporting the finance and business development goals revealed in recent posts.