Fractional AI GTM consultant for B2B SaaS

Short answer: A fractional AI GTM consultant sets your AI go-to-market strategy, builds the workflows, and trains your team to run them, all on a part-time basis. It is one senior person accountable for the result, not an agency team, a new executive on payroll, or a software license.

Here is how that differs from the other options you are probably weighing:

• An agency runs a channel for you. When the contract ends, the know-how leaves with them.
• A full-time hire gives you a permanent seat, but you are committing headcount before you know where AI actually pays off.
• An AI tool vendor sells you one capability. It does not decide which part of your funnel deserves it.
• A fractional AI GTM consultant decides where AI goes, builds it, and hands it over.

Strategy: where AI creates leverage in your funnel

Most B2B SaaS teams have more AI ideas than capacity. The first job is to score them. Nick looks across marketing, sales and customer success, then ranks each opportunity by impact, effort and data readiness. You get a sequenced plan, not a wish list.

Build: pipeline, demand gen and RevOps workflows

Then the work gets built. That means lead scoring, outbound testing, forecasting and churn alerts, wired into the CRM and data you already have. Nick leads every build. A vetted senior dev partner builds to spec under BGC oversight, so you have one point of contact. See example AI GTM workflows by outcome.

Enablement: your team runs it

The systems only matter if your people use them. The Train module coaches the people who will run the workflows: sales, marketing, CS and finance, not engineers. It covers 1:1 coaching, hands-on workshops, role-specific prompt libraries and adoption tracking. See how the BGC Method handles training.

Short answer: B2B SaaS companies between $5M and $100M ARR that have CRM data, need more pipeline, and do not want to add headcount to get it.

Good fit

• B2B SaaS, roughly $5M–$100M ARR
• You have CRM data, and ideally product-usage and support data too
• Pipeline targets are going up faster than your team can grow
• No one in-house owns AI across go-to-market
• Founders and CEOs who need a GTM engine before a full team
• CMOs, CROs and VPs of CS who want AI depth beside their org

Not a fit

• Pre-product-market fit. AI amplifies a motion that already works; it cannot find one for you.
• You want a single channel managed, such as paid search or social. An agency will serve you better.
• You expect AI to run unsupervised. Every workflow here ships with thresholds and human review.

Short answer: 25 years in B2B SaaS growth, 3 B2B exits, $350M+ in revenue influenced, a focus on loops that compound rather than one-off automation, and a remote-first model that puts a senior operator inside your team without relocation or a full-time salary.

• 25 years in B2B SaaS growth. Nick has run go-to-market as a CMO and co-founder, with 3 B2B exits and $350M+ in revenue influenced. Now he builds the same playbook as AI loops that learn every week.
• Loops that compound, not one-off automation. A simple automation saves time once and then plateaus. An optimization loop measures its own result and retests every week. That is the difference between a tool and a system.
• Senior only. Nick leads every engagement. There is no handoff and no pyramid of junior staff.
• Remote-first. Built for distributed SaaS teams. Work runs through Slack and scheduled working sessions.

Proof

• 25 years in B2B SaaS growth
• 3 B2B exits
• $350M+ in revenue influenced
• Assessment: 4 weeks, $10K flat, 10 to 15 scored opportunities
• 40+ companies served

"Nick helped us re-imagine how to scale the marketing function. He served as fractional Head of Marketing leading the existing team's day-to-day."

Read more from GTM leaders who have worked with Nick. Want to see what this looks like applied to your funnel? Read about AI GTM for B2B SaaS.