How does NeuroGTM pricing work?

Every engagement is scoped to your specific stack and goals. We walk through what you need on a 30-minute discovery call and give you a clear proposal — no black-box pricing, no surprises.

Does NeuroGTM work with Salesforce or just HubSpot?

Both. We also integrate with Slack, Gmail, Outlook, Calendly, Gong, Fireflies, Apollo, Clearbit, ZoomInfo, n8n, Make, Zapier, and more. If it has an API, we can connect it.

What happens after NeuroGTM builds the system? Who maintains it?

You own everything — no vendor lock-in. The system runs autonomously. If something in your stack changes or you want to add new workflows, you can bring us back on a Sprint or move to Ongoing Ops for continuous optimization.

How is NeuroGTM different from hiring a RevOps contractor?

A RevOps contractor configures your existing tools. We build AI systems that run on top of them — scoring, routing, enrichment, alerts, and forecasting that execute autonomously. It's the difference between setting up a workflow and building an intelligence layer.

How long does a NeuroGTM implementation take?

Sprints ship in 3–5 days. Full System Builds take 1–3 weeks. No committees, no lengthy SOWs. We go heads-down and build the actual system.

Do I own what NeuroGTM builds?

Yes. Infrastructure, workflows, intelligence layer — all yours. No recurring platform fees, no proprietary lock-in. If you want to part ways, everything keeps running.

Can I start small with NeuroGTM and expand later?

That's what Sprints are for. Pick your biggest bottleneck — lead scoring, deal alerts, CRM enrichment — and we build a production system for that one problem. Most clients come back for more once they see it running.

How to Replace Round-Robin Lead Routing With AI

Round-robin lead routing assigns leads in order. Rep A, Rep B, Rep C, Rep A again. It’s fair. It’s simple. And it’s leaving money on the table every single week.

A lead from a 200-person fintech company goes to a rep who’s never closed a deal in financial services. A high-intent enterprise lead goes to a rep who already has 15 active opportunities and can’t give it proper attention. A West Coast lead gets assigned to an East Coast rep who won’t be available for a same-day follow-up.

AI routing fixes all of this. It assigns every lead based on who’s most likely to close it - using territory, product fit, rep capacity, historical win rates, and response time. Same leads, better outcomes.

Why does round-robin routing cost you deals?

Round-robin treats every rep as interchangeable and every lead as equal. Neither is true.

Rep specialization is real. Some reps close fintech at 2x the rate of healthcare. Some handle enterprise differently than mid-market. Some convert inbound leads at 40% while others convert at 15%. Round-robin ignores all of this. It assigns the next lead to the next rep regardless of fit.

Capacity variance matters. A rep with 8 active deals has bandwidth. A rep with 18 is drowning. Round-robin doesn’t check. It assigns the lead anyway, and that lead sits for 3 days before getting a first touch - by which point the prospect booked a demo with a competitor who responded in 20 minutes.

Speed-to-lead is measurable. Research consistently shows that responding within 5 minutes versus 30 minutes changes conversion rates dramatically. Round-robin doesn’t optimize for response time. AI routing can factor in which reps are currently available, who responded fastest to their last 10 leads, and who’s in a timezone that makes a same-day conversation possible.

The math: If AI routing improves lead-to-opportunity conversion by even 15% - which is conservative based on better rep-lead matching and faster response times - on 100 leads per month at a $30K average deal size, that’s meaningful pipeline impact.

How does AI-powered lead routing actually work?

The routing agent evaluates every new lead against multiple dimensions simultaneously and makes an assignment decision in seconds.

Territory and geography. Basic but important. Match leads to reps who cover that region, speak that language, or operate in that timezone. This is table stakes that round-robin sometimes gets right by accident.

Product and segment fit. Match the lead’s company profile to the rep’s historical success. If a rep closes mid-market SaaS at 35% but enterprise manufacturing at 8%, don’t send them an enterprise manufacturing lead. The data is in your CRM - closed-won and closed-lost by rep, by segment, by company profile. The agent uses it.

Rep capacity. Not just “how many deals does this rep have” but “how many deals at what stage.” A rep with 12 deals in early discovery has different bandwidth than a rep with 12 deals in negotiation. The agent weighs active deal count, stage distribution, and upcoming meeting load to find the rep with real capacity.

Historical win rate by lead type. The most powerful signal. Which rep has the highest close rate on leads that look like this one? Same industry, same company size, same source channel. The agent matches the lead to the rep whose track record says they’ll close it.

Response time prediction. Based on each rep’s historical response patterns, the agent predicts who will respond fastest. For high-intent leads (pricing page visit, demo request), speed matters more than perfect fit. The agent can weight this accordingly.

The output: a lead assignment with a rationale. “Assigned to Sarah - 38% win rate in fintech mid-market, 6 active deals (below team average), historically responds to inbound within 12 minutes.”

What does the implementation look like?

Trigger: New lead enters HubSpot (form fill, meeting booked, import, API creation).

Enrichment step: If the lead is missing firmographic data, the enrichment agent runs first. You can’t route on company size if you don’t know the company size. This step takes seconds.

Scoring step: The lead scoring agent evaluates ICP fit and assigns a priority score. High-priority leads might have different routing logic than low-priority ones.

Routing step: The routing agent evaluates the scored, enriched lead against all available reps. It checks territory, segment fit, capacity, win rate, and availability. Makes the assignment. Updates the deal owner in HubSpot.

Notification step: Slack message to the assigned rep with lead details, score breakdown, and why they got this one. “High-fit fintech lead, 200 employees, VP of Ops, came through the AI operations blog post. You’ve closed 3 similar deals this quarter.”

The rep gets a lead they’re likely to close, with context they’d normally spend 10 minutes assembling, delivered to Slack within a minute of the form submission.

What if you’re running round-robin with 8 reps today?

You’re probably seeing uneven performance that you attribute to rep skill. Some of it is skill. Some of it is routing luck. The rep who happened to get three fintech leads in a row closed all three - not because they’re better, but because they learned that segment and built momentum. The rep who got three random leads from three different industries closed none.

Round-robin creates random outcomes and then asks managers to diagnose them as if they’re meaningful. AI routing creates intentional outcomes and gives managers actual signal about rep performance.

The switch doesn’t require ripping out your current system. You add the routing agent in front of your existing assignment. It reads the lead, evaluates the options, and sets the deal owner before any round-robin logic fires. Your reps don’t see a new tool. They just notice that their leads feel more relevant.

Routing is one piece of the puzzle. Learn how AI lead scoring feeds better signals into routing decisions, what an AI-native sales stack looks like end to end, and why AI agents replace the sales automation tools you were about to buy.

The best lead in the world assigned to the wrong rep is a wasted opportunity. AI routing doesn’t generate more leads. It makes sure every lead you already have goes to the person most likely to close it.