XaaS Advisory & Consulting

GTM strategy and AI adoption that actually sticks.

I work with CEOs, CROs, and PE/VC-backed leadership teams on three things: diagnosing revenue friction, building operational clarity, and deploying AI in ways that teams actually adopt and sustain. Think of it as having a revenue counselor in your corner.

AI and human collaboration

I've operated in the seat. I know what breaks.

I'm Alison Sullivan, Principal of Signal & Scale Advisory — a GTM strategy, Revenue Operations, and AI adoption practice for growth-stage and scaling XaaS companies.

I partner with CEOs, CROs, and PE/VC-backed leadership teams — founder-led, PE-backed, or scaling — where I can go deep and do work that moves the needle. Strategy connected to execution, with pragmatism.

My edge is that I've been in the seat. 25+ years across AI, SaaS, product, sales, and revenue operations — operator roles, board directorships, and PE portfolio work. I know what breaks at scale because I've fixed it.

Where I focus with AI: the human edge. Tools and models are increasingly commoditized — the advantage lives in how your people adopt them, adapt with them, and make them work for your specific business.

How I engage
Services

Where I focus.

Engagements are designed around your situation. These are the three areas I work in most.

GTM Strategy & Execution
From ICP and coverage model design to AOP planning and board-level GTM advisory — strategy connected to how your team actually operates, not how a slide deck says it should.
Revenue Operations
Identifying friction across sales, marketing, CS, and partners — and delivering prioritized recommendations based on emerging best practices and change management needs. RevOps as an operating system and cadence, not just a reporting function.
How I work

The AI GTM Sprint — a clear path from curiosity to signal.

Five weeks. One focused motion. Measurable outcomes at every gate before you scale.

1
Discovery & Prioritization
Friction mapping, use case ranking, readiness baseline
2
Diagnosis & Scope
Root cause analysis, solution design, success metrics defined
Business context, constraints, and policy fitted to the solution — so deployment is optimized for your operation, not a generic template.
3
Deploy & Instrument
AI solution live, tracking in place, governance documented
4
Signal Capture & Coaching
Adoption data, team coaching, train-the-trainer delivery
5
Handoff & Roadmap
Outcomes report, capability transfer, next sprint scoped

Three principles every engagement is built on.

Outcomes first
Business outcomes are defined before any solution is scoped. Every gate requires measurable signal. No outcomes, no next step.
Capability transfer
Train-the-trainer is structural — not optional. Your team builds real capability so the work compounds after the engagement ends.
Change by design
Change management and adoption infrastructure are built into every deliverable. Adoption is engineered, not hoped for.
Knowledge & Tools

Resources worth your time.

A curated set of frameworks, best practices, research, and tools — some I've found useful, some I've created. Updated as the space evolves.

Get in touch

Let's talk.

The first conversation is always about your situation, not a pitch. If someone pointed you here, I'm glad they did. Reach out and let's see if there's a fit.