Fractional RevOps · B2B SaaS · $3–20M ARR

Fractional RevOps leadership for B2B SaaS at $3–20M ARR.

A 2-week diagnostic. A 90-day foundation build. Ongoing forecast governance and quarterly GTM review. One senior operator, fixed scope, written deliverables, an internal owner at your company before the engagement ends.

Engagements

Four engagements. Productized scope. Written deliverables.

Each tier has a defined deliverable, a defined timeline, and a defined acceptance criterion. The Tier 1 fee credits against Tier 2 if you continue. Pricing shared on the first conversation.

Tier 01 · Diagnostic

Diagnostic Sprint

2–3 weeks · one-time

GTM audit, stakeholder interviews, metrics baseline, 90-day prioritized roadmap. Written current-state report and recorded findings readout.

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Tier 02 · Build

Foundation Build

90 days · monthly cadence

Data model, lifecycle definitions, pipeline stages, forecasting cadence, dashboards, handoff SLAs. Internal owner identified for every system before handover.

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Tier 03 · Govern

Fractional RevOps Leader

6-month minimum · 20–25 hrs/mo

Monthly forecast governance memo, quarterly GTM strategy review, quarterly tech stack roadmap, hiring support. 20–25 hrs/mo.

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Tier 04 · Advise

Executive Advisory

6-month minimum · 4–6 hrs/mo

Monthly 90-minute strategy session, quarterly offsite participation, async availability for comp-plan, tech-purchase, and org-design reviews.

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What we build

The operating system the Foundation Build installs.

Every Tier 2 engagement installs the same five-layer system. Each layer ships with written documentation, a named internal owner, and an acceptance criterion you can verify after the engagement ends.

  1. Data foundation. Source-of-truth model, required-field validation, enrichment waterfall, historical cleanup to 95%+ completeness. Acceptance: data dictionary signed off, completeness audited.
  2. Tech stack governance. Renewal calendar, utilization audit, consolidation roadmap, written data flow per integration. Acceptance: roadmap approved, named owner per tool.
  3. Process & lifecycle. Lead lifecycle, marketing-to-sales SLA, deal stage exit criteria, sales-to-CS handoff template. Acceptance: documented in shared wiki, adopted in CRM automation.
  4. Forecasting & reporting. Weighted pipeline model, weekly forecast cadence, exec dashboard, manager dashboard, CS dashboard. Acceptance: forecast accuracy improved 30–40% vs. baseline.
  5. AI-ready layer. Once 01–04 are stable: targeted AI use cases on narrow, mature surfaces (forecasting assist, CS health scoring, lead routing). Acceptance: deployment paired with workflow redesign — never bolt-on.
Cross-engagement standards

What every engagement carries.

Standards apply across all four tiers. They define what "delivered" means before any work begins.

Contract architecture

MSA + SOW model. MSA signed once per client (5–7 pp). SOW per engagement (2–3 pp). Liability capped at fees paid in the prior 12 months — mutual. Client owns work product on payment.

Payment terms

Net 15. First invoice paid before kickoff. Monthly invoicing for retainers and Tier 2 builds — not milestone-based. Change orders priced and approved in writing before work begins. 30-day termination for convenience either side.

Cadence

Tier 1: weekly written 1-page status, in-person final readout. Tier 2: weekly written 1-page status, milestone reviews at day 30 / 60 / 90. Tier 3: monthly forecast governance memo, quarterly GTM review. Tier 4: monthly 90-min session.

Quality bar

A deliverable is done when it has all four: written, has a named internal owner, that owner has reviewed and explicitly accepted it, and a measurable acceptance criterion that can be verified after the engagement ends.

Evidence

Why the practice exists in this shape.

48%

of CIOs, CROs, and RevOps leaders admit their revenue data isn't AI-ready (Clari Labs, 2025).

95%

of enterprise GenAI pilots produce no measurable P&L impact (MIT NANDA).

~3×

EBIT impact gap between AI deployments paired with workflow redesign and bolt-on deployments (McKinsey).

A&Y will not deploy AI, automation, or dashboards on a 60%-complete substrate. Phase 0 is always data hygiene.

First conversation is 30 minutes.

No deck. No pitch. If A&Y isn't the right fit — wrong stage, wrong sector, wrong shape — you'll get a referral to a specialist who is. That happens in roughly one in three calls.

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