Your best reps know how to win. We build systems that give every rep that edge.
Your best reps know how to research a prospect, personalize outreach, and run a discovery call that actually converts. The problem is, that expertise lives in their heads. We build AI systems that give every rep that same edge - automated research, personalized prep, and follow-up that doesn't slip through the cracks.
Get Your AI Readiness AuditYour best rep's playbook is stuck in their head.
Your top performers know things the rest of the team doesn't. They know which signals matter in a prospect's profile. They know how to personalize outreach that gets responses. They know what questions to ask on a discovery call. That's why they close more.
But that knowledge isn't in a system. It's tribal. When they're out, the team drops. When you hire someone new, it takes months to get them performing. When you try to scale, the gap between your best reps and everyone else gets wider.
AI doesn't fix that gap by itself. You have to capture the expertise first, then build systems around it.
Common Symptoms
- •Reps spending 40%+ time on non-selling activities
- •CRM data is stale or incomplete
- •Leads falling through the cracks
- •Tools bought but not being used
- •No visibility into what's working
We capture what your best reps know and turn it into systems.
We start by sitting down with your top performers. What's their research process? How do they prioritize accounts? What makes their outreach different? What do they do in a discovery call that others don't?
Then we build AI systems around that expertise - automated prospect research, personalized outreach generation, call prep, and follow-up sequences that run the way your best rep would handle them.
The result: every rep on your team operates at a higher level. Pipeline coverage improves. Ramp time drops. The gap closes.
What This Looks Like
- •Workflow diagnosis across sales, marketing, and ops
- •Identification of high-leverage automation opportunities
- •System design that connects your existing tools
- •Implementation of AI agents, automations, and integrations
- •Ongoing optimization based on real data
What a typical engagement looks like
The situation:
A Series B SaaS company with a 10-person sales team. Pipeline coverage was thin, reps were spending 40% of their time on non-selling activities, and their CRM was a mess of stale data.
The diagnosis:
After a 2-week audit, we identified three high-leverage opportunities: lead routing logic that was sending qualified leads to the wrong reps, a follow-up sequence that was completely manual, and enrichment data that was months out of date.
The fix:
We rebuilt the routing logic, automated the follow-up sequence with AI-generated personalization, and implemented real-time enrichment on inbound leads. Reps got 8 hours back per week. Pipeline coverage improved by 30% in 60 days.
Results
8 hrs
saved per rep per week
30%
pipeline coverage improvement
60 days
to measurable results
Built by someone who's lived this, from startups to public companies.
Nick has built and operated GTM systems across the full spectrum: seed-stage startups figuring out their first repeatable motion, growth-stage companies scaling their sales org, and publicly traded companies managing complex, multi-product revenue operations.
He knows what breaks at each stage. And he knows what actually moves the needle versus what just looks good in a deck.