Campaign Story

From Customer Signals → Automated Execution — ateaseai.com solves a problem every scaling SaaS company hits: post-sales teams are drowning in dashboards but starving for execution. Customer signals are scattered across CRM, email, support, meetings, and product analytics. CS and AM teams burn hours manually tracking renewals, onboarding, churn risk, and follow-ups. Existing tools (Gainsight, Totango, Churned.ai) report the problem — they don’t act on it. Expansion signals and renewal risks get caught too late.

atEaseAI is built as a System of Record + Intelligence + Execution layer. It centralizes all customer data into one system, understands account health, adoption, and revenue risk through AI models, and then executes — proactively suggesting or autonomously running the right action at the right time. When a health score drops, it drafts a personalized check-in and creates the task. When a renewal is 60 days out, it generates the QBR deck and renewal proposal. When feature adoption crosses 80%, it flags the upsell and drafts the expansion pitch. When sentiment turns negative, it escalates and recommends intervention.

Core capabilities span real-time health monitoring across 8 data sources, churn prediction and expansion intelligence, AI-powered personalized communications, meeting/QBR automation, a chat-based AI co-pilot, workflow orchestration from onboarding through renewal, and native CRM/email/support/product integrations.

The wedge is positioning: atEaseAI is the first platform to automate execution rather than reporting, unifying AM and CS, AI-native from day one, with sub-one-day setup versus the 1–6 months incumbents need — at a freemium-to-$3–10/account price point that opens the underserved SMB-to-mid-market segment. The model is product-led: start free with 10 accounts, expand via usage-based pricing as account volume grows.

The timing is strong — Net Revenue Retention now drives SaaS valuations, customer bases are outgrowing post-sales headcount, and the global CS & automation market is projected at $12.5B by 2030, with India’s SaaS sector heading toward $50B and 3,500+ SaaS companies already operating there. Founded by Tenzing Lama (15 years in SaaS sales, AM, and CS; ex-Dell; GTM leadership at Xoxoday, GMetri, AutoVRse) and CTO Supongkiba Kichu (ex-LinkedIn senior engineer, 9+ years in large-scale distributed systems). Currently pre-revenue with the MVP nearing completion, validating renewal/churn/onboarding workflows with early design partners.