Who this page is for
- Founders building the GTM motion at Series A through C
- CROs running revenue at growth-stage SaaS who need their RevOps function to become a build org
- Heads of Marketing weighing where AI actually moves pipeline (versus where it produces vanity metrics)
- RevOps leads asking what an AI-native function actually looks like in 2026
- Agency owners evaluating whether their model survives the agentic outbound stack
- PE / VC operators auditing portfolio-company GTM efficiency
What I help with
1. Stop optimizing the model. Build the orchestration.
Every B2B GTM team I talk to is debating signals, weights, fit vs intent, predictive vs explainable. That's the wrong fight. A mediocre scoring model deployed inside a real-time agentic workflow consistently outperforms a sophisticated scoring model that produces a weekly digest. By a wide margin. Repeatedly.
What this looks like in production: GTMify Cortex → a closed-loop scoring agent with eval harness, semantic layer, and next-best-action wired into the CRM.
Read: Your scoring model is the wrong fight →
2. RevOps as a build job, not a tools job
Five years ago RevOps was a tools-admin role. In 2026 it's a build role. The leaders winning the AI-native GTM transition are hiring engineers who happen to know GTM — not GTM admins who happen to know tools. The middle market is one cycle behind. I help close that gap.
Read: RevOps is becoming a build job →
3. The agentic outbound stack that beats the agency model
Outbound agencies billed $15–30K/mo for what an agentic stack now does for $2K/mo. The math has flipped. I build the in-house stack — Claude + n8n + Clay + Supabase + Reply.io — that replaces the agency relationship and stays under your control.
4. ICP as a system, not a doc
ICP documents go stale within a quarter. ICP systems learn from outcomes and refine continuously. The shift requires a real semantic layer, a feedback loop, and an eval harness — not just a Notion doc with bullet points.
5. CODN for B2B SaaS budgeting
CRO budget defenses lose to inertia not because the ROI is weak — they lose because the alternative looks free. The CODN framework puts a defensible number on inertia and changes the question from "should we invest?" to "which cost are we choosing?"
Engagement shapes
- Fractional GTM lead — 10–20 hrs/week, 3–9 months. Best fit when you're rebuilding the motion or standing up an AI program. Equity-eligible for venture-stage.
- Transformation sprint — defined deliverable, 6–12 weeks. Examples: agentic outbound stack, CODN audit, ICP refresh, RevOps rewire, AI lead-scoring agent, AI-native measurement layer.
- Expert call — 60–90 min single session, written summary deliverable.
Engagements are delivered through Stravonvale, the advisory firm I co-founded with Josh Carter.
Stage fit
$5M ARR through public-company scale. Sweet spot: Series A through Series C B2B SaaS where the GTM motion is the company.
Selected B2B SaaS case studies
- B2B SaaS — agentic lead-scoring deployment (GTMify Cortex)
- $1.5B+ data & analytics company — 9-value-stream chapter system
What I won't do
- Slideware-only engagements
- Vendor-financed advisory work
- Pure body-shop fractional roles where the work is execution-only with no strategic latitude
- Engagements where the answer is preordained and the consultant is hired to launder it
Get on the calendar
Book a 30-minute discovery call →
Or read my GTM POV stream first. Operator-grade takes for B2B founders and revenue operators.