02 — Revenue intelligenceComing soon
GTM Engineering Revenue intelligence From intent to pipeline.
Describe the outcome. ZAVOEN builds the operation — finding accounts, researching them, scoring them, asking before it acts, and learning from what moves pipeline.
Simulated operation · Demo data. Not customer results.
- Discover: The market is swept. The accounts that match become the target set.
- Enrich: Each account gains context, field by field, with its source.
- Research: Signals converge on each account: hiring, funding, technology, intent.
- Score: Signals are weighed. The accounts reorder, and the best move to the front.
- Approve: The operation stops. A person decides what happens next.
- Execute: Approved accounts are pushed to the destination.
- Measure: Every step of the run is counted.
- Learn: Outcomes return as signal. The next workflow starts smarter.
08 / 08Learn
Outcomes return as signal. The next workflow starts smarter.
AI proposes. A person approves. Then it executes.
How it works
How GTM Engineering works.
- 01
Connect
Bring CRM, warehouse, enrichment and intent signals into one GTM graph.
- 02
Describe
Tell ZAVOEN the outcome you want.
- 03
Build
ZAVOEN constructs the workflow using specialized agents.
- 04
Inspect
Review rules, providers, agents, data sources and cost.
- 05
Test
Run the operation on a sample before production.
- 06
Approve
Consequential actions stop for human approval.
- 07
Execute
Specialized agents perform the work.
- 08
Learn
Outcomes feed the next workflow.
Join the waitlist
Questions
- When is GTM Engineering available?
- GTM Engineering is in development. Join the waitlist and we will write once, when early access opens.
- Do I need a data science team?
- No. GTM Engineering is designed so your GTM operations team controls each workflow and agent.