Fathin Dosunmu
These are 3 AI-automated workflows ideas we can help you implement:
1
Sales Audit, RevOps & GTM Automation Strategy
Conduct a deep audit of CodesDevs’ current RevOps stack and sales automation flows, mapping every touchpoint where AI agents interact with CRM, marketing, and analytics tools. Provide a tailored roadmap to unify integrations, minimize fragmentation, and enable seamless AI-powered automation across all core revenue systems.
Reduces integration friction and manual troubleshooting by up to 40%, accelerating time-to-value for new AI deployments and improving operational efficiency across a lean team (9 FTEs). Lays a foundation for scalable, compliant workflows as more agents are rolled out, directly addressing the founder’s integration pain.
2
CRM Data Enrichment & Deduplication System
Deploy an automated solution that continuously enriches CRM and lead data with real-time updates (job changes, company events) and uses AI-driven logic to deduplicate and validate new records created by agents. Integrate with existing tools like Active Campaign and Google Apps to ensure enterprise-grade data hygiene.
Reduces duplicate/dirty data by up to 90%, saving 3–5 hours per week on manual cleanup for a small technical team. Ensures compliance and boosts lead quality, enabling more accurate targeting and a cleaner pipeline for AI-driven outreach.
3
AE Pre-Sales Call AI-Automated Reporting & Pipeline Visibility System
Implement an automated reporting workflow that aggregates all AI agent activity, lead status, and engagement data into a unified dashboard before every sales call. Integrate with analytics to provide real-time pipeline visibility and forecasting tailored to CodesDevs’ novel AI workflows.
Improves forecast accuracy and pipeline transparency, saving 2+ hours/week on manual report prep. Enables the founder and team to make faster, data-backed decisions as new AI agents scale, increasing close rates by 10–15% through better-informed interactions.