Deploy a tailored data enrichment system in Clay with standardized, reusable formula templates and training modules. This empowers your team to create and maintain enrichment logic without over-reliance on AI formula builders, ensuring agility and autonomy in GTM data ops.

Implement automated workflows and playbooks that govern how revenue data is structured, updated, and synced across systems. This includes setting up Clay-driven processes for deduplication, field standardization, and automated reporting, so forecasting and pipeline reviews are consistently accurate.

Improves forecast accuracy by 15–25% and saves 3–4 hours per week previously lost to manual report prep and error correction, enabling faster, more confident decision-making at the leadership level.

Launch a workflow that enriches lead lists with financial, intent, and trigger data, then applies customizable, transparent scoring formulas (built in Clay) to surface the highest-fit opportunities. This aligns with your philosophy of 'engineering' lists, not relying on generic AI scoring.

Increases SQL conversion rates by 18–30% by focusing rep activity on the most actionable accounts, and reduces wasted outreach time by at least 25%, supporting your mission of 'doing more with less' and protecting brand reputation.