NVG8

We ran go-to-market for twenty years. Now we build the AI systems that run it.

Most AI for GTM is software looking for a workflow. We ran the workflow first, then built the systems to run it, on your data and your stack.

Built onSalesforce·Slack·LinkedIn·Google Cloud·AWS·Microsoft·Anthropic·OpenAI·Gemini

We don’t just build the software. We’ve run the work.

Twenty years operating go-to-market means we know what the work actually is. So we build it, measure it, or run it with you, whichever the problem needs.

01

Build

The AI systems themselves: workflows, data pipelines, and copilots that do the repeatable work, built on your stack and owned by your team.

02

Measure

The instrumentation a function is missing: scorecards, pipeline analysis from the raw data, and the reporting leadership can actually act on.

03

Operate

Hands on the motion when you need them: fractional operating leadership for go-to-market and partnerships, not a plan handed over the wall.

What we build, by the team that owns it.

Modern GTM teams organize around five roles. We build solutions inside each one, drawn from four underlying workflow families that compose across the org.

Sales

Move deals faster with less manual work.

Reps spend half their week on work the system should do: building lists, writing recaps, hunting for context. Sales workflows take that work off the rep and give the time back to selling.

  • ·Opportunity scoring & enrichment
  • ·Pre-meeting briefings
  • ·Meeting capture to action items
  • ·Discovery to qualification briefs
Read the full Sales page →

Marketing

Build demand with engines, not campaigns.

Modern demand creation runs on signal and content, both of which are now solvable with narrow workflows. Marketing teams stop firefighting the calendar and start compounding a research-and-publish loop.

  • ·LinkedIn research & posting workflows
  • ·Iterative content generation
  • ·Market & competitive intelligence
  • ·Content-grade retrieval pipelines
Read the full Marketing page →

Customer Success

Renew, expand, and report without retyping.

CS teams own the most context-rich relationships in the company, and spend the most time retyping that context. Account-aware workflows convert it into the briefings, recaps, and reviews you’d otherwise build by hand.

  • ·QBR & renewal prep briefings
  • ·Recurring executive updates
  • ·Quarterly & annual account reviews
  • ·Semantic search across account history
Read the full Customer Success page →

RevOps

Clean systems. Clean data. Internal copilots.

The work nobody sees that everybody depends on. RevOps workflows handle the hygiene tax, keep records correct, and put internal knowledge in the channel the team already lives in.

  • ·Spreadsheet ↔ CRM sync
  • ·Record deduplication workflow
  • ·Stakeholder attachment automation
  • ·Slack assistants for internal knowledge
Read the full RevOps page →

Partnerships & Ecosystem

Co-sell, co-market, and report on partner motion as a system.

Partnerships generate the largest deals and the least clean data. Workflows make the ecosystem motion legible: who you know, what partners are doing, and how every relationship is performing.

  • ·Warm-path co-sell mapping
  • ·Partner ecosystem intelligence
  • ·Recurring partner updates
  • ·Annual partner reviews & board summaries
Read the full Partnerships & Ecosystem page →

Operator-led. Engineered to ship. Designed to be owned.

Built on your stack

Salesforce, Slack, Google Cloud, AWS, Microsoft, the inbox you already use. Workflows fit your data and your team’s ergonomics, not the other way around.

Owned by your team

Code, prompts, and data stay yours. We deliver versioned systems with documentation and a retirement plan, not opaque black boxes.

Practical, not theatrical

We ship narrow workflows that earn back hours every week before we widen scope. Pilot in weeks, measurable lift before quarter-end.

From the writing

All writing →
  1. Case study

    Two data sources, one clean dataset, and the end of twenty-hour SI prep calls

  2. Case study

    What it actually takes to launch a net-new ISV on the Salesforce AppExchange

  3. Case study

    I needed one place for every meeting. So I built a recorder in chat.

Three ways to work with us.

A free hour to test the idea. A four-week lab to design it. A private workshop to bring it to your whole team.

Thinking about an AI solution for your team and not sure where to start? The Design Hour is the easiest place.

Sixty live minutes, twelve seats, no commitment. You bring one workflow from your team and leave with a one-page spec and a sense of what it would take to ship. If you’d rather skip the group format and talk one-to-one, that’s fine too.