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.

Claude Isn't a Chatbot. Here's What It Is for GTM.

Most GTM teams using Claude are using about 10% of it. They open a chat window, paste something in, get an answer, close the tab. That’s a calculator with better vocabulary. What Claude actually is - in 2026, wired into a real ops stack - is something fundamentally different.

Here’s what it looks like when you use all of it.

What can Claude Chat actually do for a RevOps team?

The chat interface is where most people start and stop. But used correctly, it’s the highest-leverage thinking tool a RevOps team has.

Not for writing emails. For reasoning about your business.

Pull your pipeline data into a conversation and ask Claude why your Q1 deals are slipping. Paste in call transcripts and ask it to identify the three objections killing your enterprise segment. Drop in six months of closed-lost reasons and ask it to find the pattern your CRM reports missed.

Claude Chat is for the questions that don’t have a dashboard. The analysis that used to take three hours and a spreadsheet. The thinking work that your ops team keeps deprioritizing because it’s hard to schedule.

One good Claude Chat session can reframe a problem your team has been stuck on for a quarter.

How do MCP connections give Claude access to live data?

This is where it gets real.

MCP - Model Context Protocol - is the layer that connects Claude to your live systems. HubSpot. Salesforce. Slack. Your data warehouse. Instead of pasting in exports, Claude reads directly from the source. Instead of generating recommendations in the abstract, it sees your actual pipeline, your actual contacts, your actual deal history.

The practical result: you stop asking Claude hypothetical questions and start asking it operational ones.

“Which deals in my HubSpot pipeline have had no activity in 21 days and are still marked Active?” Claude pulls the list. “Which of these contacts are missing job title and company size?” Claude finds them. “Write me a Slack message to each AE with their stale deals and suggested next steps.” Claude writes it, personalized per rep.

That’s not a chatbot. That’s an ops analyst who never sleeps and never has a backlog.

How do connectors put Claude inside your existing tools?

MCP connections require setup. Connectors are the pre-built version - Claude integrated directly into the tools your team already uses.

The distinction matters. With a connector, your reps don’t open a separate Claude window. Claude is inside HubSpot, inside Slack, inside your deal review process. It surfaces when it’s relevant, not when someone remembers to ask.

A connector in your CRM can auto-summarize a deal’s history before a call. A connector in Slack can flag when a deal goes dark and generate a suggested next action. A connector in your support desk can identify accounts where ticket volume is rising before your CS team notices.

The goal isn’t to give your team access to AI. It’s to make AI part of the process so it doesn’t require behavior change to get value from it.

What is Cowork and why does it matter for GTM teams?

Most AI usage in companies is invisible. One person, one chat window, one conversation that disappears when the tab closes. The rest of the team gets none of it.

Cowork changes the unit from individual to team. Shared context. Shared prompts. Claude that knows your ICP, your deal stages, your competitive positioning, your customer language - and applies it consistently across every person who uses it.

For RevOps this means the deal review prompt your best analyst built isn’t locked in their browser history. The pipeline summary template that actually works gets used by the whole team. The AI improves with collective input instead of resetting for every new user.

Consistent AI across a team is a different category of value than AI any individual person uses well.

How does Claude Code build GTM infrastructure without engineers?

This one is where most GTM leaders aren’t looking yet.

Claude Code is an autonomous agent that writes and runs code. For ops teams, that means it can build the actual automation infrastructure - the n8n workflows, the HubSpot scripts, the enrichment pipelines, the Slack bots - without an engineering ticket or a consultant engagement.

Describe what you need. Claude Code builds it, tests it, deploys it. You own the output.

The implication: the bottleneck between “we want this automation” and “this automation exists” just got dramatically shorter. A RevOps team that used to wait weeks for engineering resources can now ship infrastructure in days.

What’s actually changing about GTM operations?

The old GTM ops model: humans decide, humans execute, humans update the CRM, humans pull the reports, humans notice when something’s wrong.

The new model: Claude reasons, MCPs connect to live data, connectors put AI inside existing workflows, Cowork makes it a team resource, and Claude Code builds the infrastructure that runs it all.

This isn’t AI helping your team work faster. It’s AI taking over the operational layer so your team can focus entirely on judgment - the deals, the relationships, the calls where being human is the only thing that matters.

The GTM teams that build this stack in 2026 won’t need to rebuild it. Everyone else will be catching up to it.

See what this looks like in practice: autonomous GTM agents that execute without being asked, the pre-call brief agent that gets every rep to 100% before every call, and why AI belongs in operations, not outbound.

The question for your org isn’t whether to use Claude. It’s whether you’re using all of it - or just the chat window.