GTM AI Consulting Services
We wire your GTM stack into one signal-to-action engine: buying signals in, enriched and qualified automatically, human-approved outreach out.
The Orchestration Story
Buying signals, relationship data, and enrichment already live somewhere in your stack, each in its own silo. Orchestration is the wiring that connects them, so the right rep gets a concrete next step with context. Two recent engagements:
Reps spent their days on manual list-building while buying signals sat unused in disconnected tools. We wired website visits, intent data, LinkedIn activity, and the CRM into one signal layer: dynamic segments push high-intent contacts into cadences, tags write back to the CRM, and a rep approves every send.
Their executive ambassadors could open doors — but the warmest paths were people the ambassadors had worked with at past companies, not current LinkedIn connections. We mapped dozens of ambassador profiles against past-company overlaps in Clay, filtered to ICP-fit HR and L&D executives, and delivered a referral list with the overlap context for each candidate.
What We Build
Why Node8
Our GTM engineers work inside your stack. Engagements end with a motion running in production, not a slide deck describing one.
We work daily in Clay, Common Room, Salesloft, lemlist, Apify, n8n, and the CRMs they connect to — and know where a custom workflow beats another license.
LLM-powered qualification and research, scoring models, relationship mapping, and natural-language access to GTM data over MCP.
FAQ
Usually no. We integrate AI into your existing stack and replace only the parts that are creating friction or low ROI.
Yes. We regularly integrate with CRM systems, sales engagement tools, marketing automation platforms, and internal data sources.
Success is operational: faster qualification, clearer prioritization, and more consistent execution across the revenue workflow.
Most tools solve one step in isolation. We design connected workflows across your stack and implement the data and automation needed to make them work in production.
No. We design and implement working systems so your team can run them in production.
Share your current workflow bottlenecks and we will map the highest-impact systems to ship first.