Deploy an AI-powered RevOps and go-to-market automation audit to map and orchestrate seamless data flows across Perennial’s marketing, sales, and customer success stack. This involves surfacing integration gaps, automating lead handoffs, and embedding compliance-aware logic into every workflow—ensuring interoperability between fintech platforms and existing revenue systems.

Implement a real-time, AI-driven data enrichment and deduplication workflow that continuously cleans and augments multi-source fintech product and customer data. Integrating with Perennial’s CRM and data lakes, this system standardizes records, flags anomalies, and automates deduplication, directly fueling analytics, attribution, and forecasting accuracy.

Boosts data quality and reporting reliability, saving 10–15 hours/week in manual cleansing for data and GTM teams. Enables 15%+ improvement in campaign targeting and attribution, leading to higher conversion rates and more accurate forecasting.

Set up an AI-personalized, rule-driven orchestration for lead lifecycle management, automating movement between marketing, sales, and customer success while embedding compliance checkpoints (e.g., audit logging, consent management). This ensures no lead is lost and compliance is always audit-ready, aligning with Nilesh’s vision of AI that ‘thinks like a regulator.’

Reduces leakages in the funnel by 12–18%, increases CSAT and regulatory audit readiness, and saves 8–12 hours/month in manual compliance documentation for GTM and product teams.