We build the agent stack your SDRs actually use: sourcing, research, personalization, reply routing, and attribution. Then we teach every rep to run it, and we operate it with you month to month.
Built and running in production for a venture-backed enterprise SaaS sales team, every weekday.
backlogged inbound leads routed to reps, each with a drafted reply
to map a target account's buying committee, down from 2–3 hours
deals in the first 30 days at accounts the agents had already engaged, including $157k and $70k opportunities
more accepted LinkedIn connections followed up. Before: 19 of 181. Day one: 158 routed to reps
On a large team, small cracks add up fast. Before we automate anything, we find where pipeline is actually leaking, using your own CRM data. Here's what that audit turned up at our most recent engagement.
Contact-sales form fills waited in a queue, even though inbound was converting far better than any outbound channel.
Reps got the connection accepted on LinkedIn, then the follow-up never went out.
No one could say which activity created which opportunity, so there was no way to know what to double down on.
Each one replaces a manual task your SDRs repeat every day. Reps keep the calls and the relationships. The agents handle the rest.
Hiring posts, funding, earnings, exec moves, and tech-stack changes are pulled daily, matched to your ICP, and deduped against the CRM.
Every lead gets a web-grounded fit verdict with a confidence score before a rep spends any time on it.
"Map me this account" returns the buying committee, who you already know, open threads, and strategy signals as a living doc.
Each message opens with a specific, verified fact about the prospect and why it matters to them. Anything generic is held back before it reaches a rep.
Genuine replies are separated from out-of-office noise, drafted, and sent to the right rep's Slack. Inbound that sits longer than 24 hours gets escalated.
Meetings and deals are traced back to the outreach that started them. Managers get a Monday pacing report they don't have to build.
A small AE team, a large target universe, and pipeline coming almost entirely from reps' own sourcing. Outbound was busy, but no one could prove what it produced.
We audited the funnel against the CRM, cut the channels that weren't working, and built a cloud-scheduled agent pipeline. It sources, verifies, personalizes, sends, and routes replies on its own. Reps handle replies and meetings.
Want to know where your pipeline leaks?
Map your first 3 agents →Your team doesn't buy another platform and figure it out alone. We stand up the system on your stack, train every rep, and keep it performing.
We build and run the core pipeline. Reps get the output without building anything.
Hands-on sessions where reps build agents for their own territory.
Recorded modules for onboarding new hires at scale.
One playbook per workflow, so the system outlasts any single person.
Per-sender caps and automatic pause on bounce spikes protect your domains.
LLM calls route through zero-retention endpoints, with fallbacks so one provider outage doesn't stop the system.
Every send, reply, and outcome is logged, so you can always see what the agents did and why.
Agents source, draft, and route. Reps approve replies and run every meeting.
I build GTM systems from inside sales teams, not from the outside. The production system above runs on infrastructure I designed and still operate: signal sourcing, enrichment waterfalls, AI personalization, CRM guardrails, and closed-loop attribution.
The approach is simple: measure what's real, cut what isn't, and automate what works.
Mapping your first three agents takes a real look at your data, not a guess on a first call. Here's how it works.
We talk through your team, your motion, and where you think pipeline is slipping.
Read-only access to your CRM and sequencer. We find where pipeline is actually leaking.
The first three agents worth building, ranked by payback, with what each one replaces.