What operators built with Lanai
Not testimonials — operating records. See the exact workflows teams automated, the decisions they made, and the impact they measured.
Mapped every agent across the org. Cut $340K in shelfware and decreased personal use.
Agents deployed by every team in every place imaginable via all tools: Claude, Cursor, Salesforce, Openclaw, and more. Some autonomous, some human-initiated, most undocumented. When key builders left, workflows broke and nobody knew why. Skyrocketing costs and a suspicion a meaningful chunk was personal use.
Mapped all AI assets across company: AI applications, agents and skills, embedded AI, and autonomous workflows. Surfaced 10% unapproved assets and 12% of token spend tied to personal use.
Ranked assets by business criticality and ownership risk. Identified 6 enterprise licenses under 15% utilization. Flagged $1.1M in redundant and personal-use spend.
Built a living agent registry: ownership, purpose, and type for all Consolidated 6 redundant licenses. New AI assets auto-classified within 24 hours of deployment.
Linked CS workflows to a +6pt expansion increase. Killed two that were increasing churn.
Success leadership knew AI was "working" but couldn't tell which workflows drove renewals and which eroded quality. Budget decisions were based on vendor dashboards, not business outcomes.
Connected AI activity across renewal outreach, health scoring, and QBR prep to CRM outcome data. Mapped which workflows touched at-risk accounts vs. which ran unmonitored.
Two workflows drove all expansion lift: proactive health score alerts and renewal prep summaries. Two others were generating outreach that correlated with churn, not retention.
Doubled down on top-performing workflows. Decommissioned 2 value-negative workflows. Rolled optimized playbook to other reps.
Turned one rep's playbook into a governed agent. Reclaimed 11.4 FTE across 3 regions.
RevOps had 140+ reps using AI ad hoc. One had built a renewal outreach workflow saving 110× more time than peers. Leadership had no way to extract or replicate it.
Mapped 18,400 AI-mediated workflows across NA, EMEA, and APAC. One rep's renewal pattern saved 4,200 hrs/quarter. Team average: 38 hrs.
Identified the top performer's workflow as the highest-leverage pattern. Connected it to $2.8M in influenced pipeline. Prioritized for agent extraction.
Extracted the workflow via MCP connector. Deployed a governed renewal outreach agent. Rolled out to 140 reps across 3 regions in 72 hours.
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