Numbers from six systems running in production
01 / Pipeline
Sourced
Pipeline sourced through automated enrichment & routing.
02 / Automation
Shipped
Automations shipped across acquisition, lifecycle & ops.
03 / AI agents
Live
Accounts enriched by AI agents, continuously refreshed.
04 / Speed
−96%
Median lead response, down from 4 hours.
05 / Conversion
Lift
SQL → opportunity lift from agent enrichment.
06 / Attribution
Moved
Spend reallocated by the attribution model.
tamara@gtm:~$ cat stack.txt
PS: these windows move. Grab a title bar and make a mess. Double-click to tidy up.
15minper campaign, from days of copywriting
workflow — live run
tech used
Daily leadsnew conversations every day, on autopilot
workflow — live run
tech used
11minmedian response, from 4 hours
workflow — live run
tech used
+38%sql → opportunity conversion
workflow — live run
tech used
Pre-bookedexec calendars, filled before each event
workflow — live run
tech used
$1.1Mspend reallocated to what closes
workflow — live run
tech used
Self-servegtm team, off the ops backlog
workflow — live run
tech used
tamara@gtm:~$ ps aux | grep experiment
Pulls pricing, legal and approval context the moment a deal hits stage three.
Automated weekly pipeline review. Flags stalled deals and coverage gaps.
Reads usage, tickets and CRM signals to flag churn risk before the QBR.
On-demand research briefs for reps before a call.