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 AI Agents Cut Sales Rep Ramp Time in Half

A new sales rep joins your team. For the next 3-4 months, they’re operating at a fraction of their potential. They don’t know your ICP well enough. They don’t know which objections come up most. They don’t know the competitive landscape from experience. They don’t have the pattern recognition that your top reps built over years of conversations.

AI agents don’t give new reps years of experience. They give new reps access to the institutional knowledge that currently lives only in your best reps’ heads - delivered automatically, in context, before every call and after every conversation.

Why is sales ramp time so long?

Ramp time isn’t about product knowledge. Most reps learn the product in 2-3 weeks. The long tail is everything else.

Context acquisition. Understanding your ICP deeply enough to qualify quickly. Knowing which industries close faster. Knowing which titles are decision-makers versus influencers. Knowing that “we’re evaluating options” from a fintech VP means something different than the same phrase from a healthcare admin. This context takes months to build through experience.

Tribal knowledge. How your specific team handles pricing objections. What competitors say about you and how to counter it. Which customer stories resonate with which segments. What the top rep asks in discovery that nobody else thinks to ask. This knowledge lives in people’s heads, in old Slack threads, in call recordings nobody has time to review.

Process familiarity. When to multi-thread. When to bring in a solutions engineer. How to write an internal deal summary that gets leadership attention. When a deal is worth escalating and when it’s not. These aren’t in the playbook. They’re absorbed over months of operating inside the team.

A new rep has none of this on day one. The traditional fix is shadowing, mentoring, and time. AI agents offer a faster path.

How do AI agents accelerate ramp?

Pre-call briefs eliminate the context gap. A new rep’s biggest disadvantage is walking into calls without context. They don’t know the account history. They don’t know what was said on previous calls. They don’t know the competitive landscape for this specific deal. The pre-call brief agent solves all of this - delivering deal history, attendee profiles, last interaction summary, and a suggested question before every single call. The new rep has the same context as a rep who’s been on the account for six months.

Call transcript analysis replaces shadowing. Instead of sitting in on 50 calls over two months, a new rep can review AI-generated summaries of the best calls from the past quarter. The agent surfaces the discovery calls with the highest conversion rates, the objection handling moments that led to closed-won deals, the competitive positioning that actually worked. Curated learning from real conversations, available on day one.

MEDDIC agents teach qualification by doing. A new rep doesn’t need to master MEDDIC qualification technique before they start selling. The MEDDIC extraction agent reads their call transcripts and populates the fields automatically. The rep sees what good qualification data looks like - extracted from their own conversations. Over time, they learn what to listen for because they see what the agent extracts. The agent is training them while doing the work.

Deal risk alerts prevent early mistakes. New reps let deals drift because they don’t recognize the warning signs yet. A tenured rep knows that 10 days of silence after a proposal means trouble. A new rep assumes the prospect is “just busy.” The deal risk agent catches the pattern and alerts the rep with specific guidance - teaching them what to watch for while saving the deal.

Competitive intelligence is always current. Instead of reading a competitive battlecard that was updated six months ago, the new rep has access to competitive mentions extracted from every recent call across the team. They know exactly what prospects are saying about competitors this month, not last year.

What does this look like for a new rep’s first month?

Week 1. The rep starts making calls. Before every call, a pre-call brief arrives in Slack with full context. After every call, the MEDDIC agent extracts qualification data and the action item agent creates follow-up tasks. The rep is executing a complete sales process from day one - not because they’ve memorized it, but because the agents are running it alongside them.

Week 2. The rep reviews AI-generated summaries of the team’s best calls from the past quarter. They see exactly how top performers handle the “we’re already using [competitor]” objection. They see what discovery questions produce the richest qualification data. Real examples from real deals, not theoretical training.

Week 3. The deal risk agent fires on one of the rep’s deals - 12 days without activity, close date approaching. The alert includes context and a suggested next step. The rep learns to recognize deal risk signals in real time, with specific guidance on how to respond. This pattern recognition usually takes 6+ months to develop.

Week 4. The rep’s MEDDIC fields are consistently populated. Their deals have clear qualification data. Their manager can coach on substance - “your Metrics are weak on the Acme deal, try asking about quantified impact on the next call” - instead of process basics.

One month in, this rep is operating with more context, better qualification data, and faster pattern recognition than a rep who’s been on the team for three months without agent support.

What’s the actual impact on ramp time?

The standard B2B sales ramp is 3-6 months to full productivity. Teams with AI agent infrastructure consistently report compressing this to 6-10 weeks.

The reason is straightforward: agents eliminate the two biggest ramp bottlenecks. Context acquisition happens instantly (pre-call briefs, deal history, competitive intel). Pattern recognition happens in weeks instead of months (deal risk alerts, call analysis, MEDDIC feedback).

The rep still needs to build relationships, develop their own style, and learn the nuances of your market. No agent replaces that. But the agents remove every other barrier - the data gathering, the context building, the process compliance - so the rep can focus entirely on the human parts of selling from day one.

See how pre-call brief agents deliver full context before every meeting, how MEDDIC agents populate qualification data automatically, and how deal risk detection catches problems before new reps recognize them.

Your best rep’s advantage isn’t talent. It’s context. AI agents give every new rep that context on day one.