Client names withheld by NDA. These are anonymized engagements that show what “AI inside revenue systems” looks like—complete with governance, telemetry, and real operational constraints.
Fit + intent scoring, capacity-aware routing, and decision logs that reduce disputes and speed follow-up.
A canonical data model + validated pipelines so leadership stops arguing about numbers and starts acting.
Automation that respects region/consent rules and adds AI leverage without polluting the CRM.
Normalization + validation gates so enrichment makes routing/segmentation better—not worse.
Adaptive journeys triggered by milestones and intent spikes—measured with clear telemetry.
Permission-aware summaries and next steps delivered where reps already work: Slack + CRM.
LLM drafting + QA gates so launches speed up without increasing risk or rework.
Automated monitoring that flags what changed, why it likely changed, and what to do next.
Ticket classification, safe summaries, and routing inside existing tools—without creating CRM noise or compliance risk.
Stripe/Chargebee signals mapped into CRM objects and automated workflows so lifecycle stages match reality and renewals stop being reactive.
Research packets, personalization angles, and sequence drafts—generated from approved sources with citations and human approval.
Timers, ownership rules, escalation paths, and dashboards built directly into CRM workflows so nothing falls through the cracks.