What operators built with Lanai
Not testimonials — operating records. See the exact workflows teams automated, the decisions they made, and the impact they measured.
23 AI tools discovered. 9 ungoverned.
Linked workflows to pipeline lift.
One playbook scaled to 140 reps.
Discovered 23 AI tools across 6 departments. 9 were completely ungoverned.
23 AI tools discovered across the org. 9 unsanctioned with customer PII flowing through personal accounts. Three enterprise licenses sat at under 8% utilization. No visibility into what was critical vs. redundant.
Mapped 14,200 AI-mediated interactions across engineering, sales, support, and ops. Exposed 9 ungoverned tools with customer data flowing through personal accounts.
Ranked tools by utilization and risk. Identified 3 enterprise licenses under 8% adoption and flagged 2 tools routing PII through personal accounts.
Consolidated to 14 governed tools. Deployed automated discovery to catch new shadow AI within 24 hours. Rolled governance policies across all 6 departments.
Linked AI workflows to a 34% pipeline increase. Killed two that were hurting CSAT.
CX leadership knew AI was "working" but couldn't tell which workflows drove revenue and which eroded quality. Budget decisions were based on vendor dashboards, not business outcomes.
Connected 4,800 AI-assisted CX interactions to Salesforce pipeline data. Surfaced which workflows touched revenue vs. which ran unmonitored.
Two workflows drove 89% of pipeline lift. One auto-response bot was actively degrading CSAT by 6 points. Recommended decommission.
Doubled down on top-performing workflows. Decommissioned 2 value-negative bots. Rolled optimized CX playbook to 3 support regions.
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.
The operating system for AI value creation. See it. Steer it. Scale it.