An AI engineer for RevOps: fewer tools, one owner per CRM field. When enrichment tools, sequencers, call recorders, and AI SDR trials all update the same CRM, nobody owns the data. We put an engineer in your RevOps team to decide what stays, wire the rest together, and keep the CRM clean.
Bring a list of every tool that writes to your CRM.
Published results in GTM teams
One well-documented case, and the integration work behind it.
Vanta cut post-call follow-up from 3-4 days to the same day with Clay, with 80%+ enrichment coverage.
Wired into Salesforce and HubSpot, with rules that check each update against existing records. Before, up to five tools enriched the same data point.
Figures as reported by the vendor or customer at the linked source. They are not OpenNash results.
Where our engineer comes in
Vanta's rollout combined enrichment, account research, Salesforce integration, and rules for which update wins. That is RevOps engineering, and it rarely fits around a quota. Our engineer does it with you, with CRM admin access and a seat in your pipeline review.
| Decision | What we look at | Outcome |
|---|---|---|
| Which tools stay | Every tool that writes to the CRM, what it costs, and which fields it overwrites. | A smaller stack with one owner per field. |
| AI SDR or AI-assisted reps | Reply quality and qualified meetings on matched, separately assigned account groups. | A decision based on your numbers. |
| What the agent may write | Fields, owners, stages, and sequence enrollment. | Every write is checked against existing records first. |
| What may send without review | Sequences, first lines, and follow-ups. | Only sequences that have passed review. |
Why forward-deployed engineers
Built for their largest accounts, deploying their own models. OpenAI's deployment company launched with more than $4B. ↗
Configure their own product, priced per seat or per resolution.
A small senior team, ex-Palantir, Meta, and Databricks. Any model, any vendor. Free pilot, then a flat monthly fee.
Even OpenAI closes the gap with engineers in the room. Source: OpenAI, What FDE means at OpenAI, Oct 2026.
The first eight weeks
Written down with your team in week 1. The pilot is free, and it has to pass these before anything goes further.
Example acceptance tests, not results from a customer deployment. Yours are written with your team.
Systems we work in
Rules from day one
FAQ
Not at first. Automatic sending is turned on only for sequences that have passed review.
No. The work happens inside HubSpot, Salesforce, and the tools you already use.
We compare one against your reps on matched, separately assigned account groups, so the same prospect never gets two sequences. You decide from the results.
Why you need one
A senior engineer joins your team on a laptop you issue, tests the options on your data, and puts one GTM teams workflow into production in 4 to 8 weeks. It starts with a free 14-day pilot judged against test cases you agree in writing.
After launch, we run and improve the workflow on a flat monthly fee, or your team takes it over. The code, tests, and runbook are yours either way.
Bring a list of every tool that writes to your CRM.