Methodology canon
Path58-OS
The revenue and GTM operating manual — the language and frameworks your team and AI agents share. Codified, versioned, deployed in your environment.
Revenue + GTM consultancy for the multi-agent LLM era
Where revenue orgs become AI-native.
Path58 designs, operates, and optimizes B2B SaaS revenue organizations for the era when humans and AI agents share the work. The methodology your team operates after we leave — codified, deployed, measured.
$20K · 2-3 weeks flat fee · a clear answer on what's breaking your GTM motion — and whether the AI fix will pay back the investment.
passes 100% of its benchmark suite
Path58's Agent Experience benchmark, run on the AI-agent workflow system we built. Competitor systems score zero on this benchmark — they weren't built for it.[1]
4 exits · 1 IPO
20+ years across CRO, CEO, MD, and founder seats — engineer turned CRO codifying Revenue for the multi-agent era.[2]
$20K · 2-3 weeks
Constraint diagnostic — a fixed-scope diagnostic that names the one thing breaking your revenue motion. Flat-fee, no add-ons. We tell you in writing if we're not the right firm.[3]
What Path58 actually does
We are the revenue and GTM consultancy whose engagement deliverable is the AI-agent system your team runs after we leave. We diagnose where your revenue motion is breaking, then codify the playbook and ship the system that runs it — in the same engagement. The playbook is the canon your team operates. The system is what runs it day to day, with dashboards that prove it works.
The firm is led by Tsvika Vagman — Electrical Engineering (Tel Aviv University); CRO, CEO, and founder across 20+ years; 4 exits and 1 IPO; Certified Revenue Architect (Winning by Design). Engineer turned CRO turned engineer reinventing revenue science.
Mark Roberge wrote The Sales Acceleration Formula — the playbook the Cloud CRM era ran on. We're writing the equivalent for the multi-agent LLM era. The methodology and the AI-agent system that runs it ship together. That integrated unit is the firm.
AI-agent workflow system
p58-n8n MCP
The n8n workflow system Path58 built for AI agents (MCP = the emerging open standard for AI tool integration). Runs the playbook as governed, replayable work.
Agent Experience scoring
AX-Engine
The benchmark that scores whether your AI agents are actually doing the work — so you can see what's working and what isn't, in numbers.
Org pattern for human + AI teams
Multi-Agent OS
The leadership and management pattern for teams where humans and AI agents share the work — who owns what, who decides what, who runs what.
CRO at $15-30M ARR
The scaling-wall seat
Hit a wall on the motion that worked Series A → B. Needs a diagnosis, then the system that proves the fix is real.
Head of RevOps · primary buyer
The bridge seat
Owns the GTM operating model — the playbooks, dashboards, and AI-agent system that run sales, marketing, and CS as one motion.
CEO/founder pre-Series B
The strategic-certainty seat
Board is asking about the AI position. Needs operator-truth on whether to hire a CRO, reposition, or rebuild the rev system.
19% → 31%
Win rate, two quarters, mid-market B2B SaaS. Diagnosis, then the AI-agent system that runs the fix, then the cadence that holds the gain. The case library shows the constraint, the remediation, and the receipts.[1]
Two-three weeks. Twenty thousand dollars. One clear answer.
A Constraint diagnostic is the first call after the qualifier. We map the rev-system constraint, we tell you what has to be true before the AI fix will earn its keep, and we tell you in writing if we're not the right firm.
Path58 ships content authored primarily with AI assistance. Per-asset attribution rides in standard metadata. Full disclosure.