sales_ops · security · workflow
Vanta's GTM team saves ~400 hours per week with Dust multi-agent platform
Vanta's GTM teams held critical knowledge in siloed functions — GRC, finance, product, and marketing — making cross-functional work, especially meeting and QBR preparation, labor-intensive and time-consuming.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · QBR or meeting prep triggered
Preparing for customer meetings or quarterly business reviews initiates the workflow.
Tools used
Dust
Outcome
Automating QBR prep reclaimed around two hours per week per rep, saving around 400 hours per week across the team — thousands of collective hours a year. Dust adoption grew beyond the GTM organization to become company-wide.
What failed first
After vetting seven AI platforms, most were either too shallow for enterprise use or too technical for widespread adoption.
Results
Time savedaround 400 hours saved per week
Volumearound two hours per week per rep
Grounding & classification
Source type: vendor customer story
26 fields verified against source quotes.
agent assistagentic workflowknowledge searchmulti agent workflowsummarizationknowledge basehuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwareemployee productivitytime savedvendor customer storyback office opscompliance monitoringsales opsagentic task executionai draft human approval