AI OPERATIONS SERVICES

Your GTM AI tools, finally doing what they promised

We take GTM teams from unused AI spend to deployed, adopted, and governed systems. Built once, designed to hold.

Speak with us
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They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
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Sam Arman

Strategy Analyst
medicusit_white 1
They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
Image-60@2x

Sam Arman

Strategy Analyst
amagi_white 1
They stand out for their proficiency in utilizing popular online marketing platforms, such as RollWorks, Zoominfo, and HubSpot. What sets them apart is not only their industry knowledge but also their exceptional collaborative approach.
Image-60@2x

Sam Arman

Strategy Analyst
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AirOps

AirOps

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Clay AI

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Claude

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Breeze Studio

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Make

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Zapier

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Gumloop

Workato

Workato

WHY YOU’RE HERE

Why GTM AI tends to stall before it starts

You've probably felt at least one of these already.
Most GTM teams have.

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Stuck at start

No clear view of which use cases to prioritize, which tools to activate first, or where to begin

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Poor foundation

AI is only as clean as the data underneath it. Gaps and duplicates don't disappear. They scale

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No stickiness

Deployment happened. Training happened. The team went back to manual workflows anyway. Adoption takes more than an onboarding call

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Broken system

Tools running in separate lanes. No orchestration connecting them. Manual effort filling every gap that falls between

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Limited control

Workflows fire, leads get scored, emails go out. No human review layer. No governance logic. No visibility

customer stories

Breaking down our biggest RevOps wins

Deep insights into challenges that plague revenue teams across industries, and how we solve them.

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EdTech

Outco - Attribution implementation | HubSpot Custom reporting

Discover how Outco increased its Return On Ad Spend (ROAS) and experienced proper, efficient software integrations with RevX.

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Manufacturing

Spectrum Control - GA4 & Google Tag Manager implementation

Spectrum Control could improve operational efficiency by implementing GA4 and Google Tag Manager with RevX. 

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BFSI

Data integration and segmentation for a leading venture capital firm

Learn how a leading venture capital firm scaled its founder engagement with unified systems, improved attribution, and automation.

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SaaS

ChoiceLocal - Driving accurate GTM visibility with GA4 implementation

Learn how ChoiceLocal achieved data precision, operational efficiency, and unified reporting through an effective GA4 setup.

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SaaS

UserTesting - Marketing dashboards for enhanced decision-making

Learn how UserTesting made data-backed decisions with the help of a robust marketing dashboard system.

HOW WE HELP

AI & agentic GTM system that's
configured, connected, controlled

Speak with us
Breeze Studio Activation
Custom Agentic Layers
Readiness diagnostic

A structured call to map your HubSpot setup, surface unused Breeze features, and deliver a prioritized activation roadmap for your goals.

Data foundation

Before any agent runs, we clean, enrich, and structure the contact and deal data your Breeze workflows will depend on.

Agent configuration

We identify and configure the right Breeze agents for your motion, built around your automation goals and what your data supports.

Workflow design

Every Breeze deployment comes with the human workflow built around it, so your team has a clear process for review and follow-through.

Review guardrails

Human review checkpoints are built into every workflow. Nothing runs unsupervised until you trust the output.

Team handoff

We document every workflow, write clear handoff guides, and run team training so the system keeps running after we step back.

Lead intelligence

We build lead models that score and prioritize your pipeline based on buying signals, engagement history, and other account context.

Deal prediction

A deal drop-off prediction engine that identifies at-risk pipeline before it stalls, so your team has time to course-correct and recover.

Revenue picture

A cross-system layer that pulls deal context, engagement history, and account signals into coherent revenue narratives for your sales team.

AI governance

We build the governance structure and prompt library that keeps your AI output consistent, on-brand, and reviewable across workflows.

System orchestration

We build the integration layer that connects HubSpot with your enrichment, automation, & outreach stack so data flows automatically.

AI maintenance

Regular oversight, performance monitoring, and iteration to keep your custom AI layer working as your GTM motion and data evolve.

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Data Agent

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Prospecting Agent

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Closing Agent

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Customer Agent

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ICP Assistant

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Deal Loss Agent

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Research Assistant

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Brand Agent

OUR PROCESS

What GTM AI done right really looks like

You leave with an AIOps system that scales, not just a setup that works.

01

Diagnose first

We map your existing AI tools, audit your CRM data for readiness, and identify the use cases worth pursuing for your specific GTM motion. The output is a prioritized activation roadmap built around your pipeline, your team, and where things actually stand right now.

02

Deploy deliberately

We configure and activate the AI capabilities your roadmap calls for, with your team's workflow designed around them from day one. Human review checkpoints are built in before anything runs unsupervised. You don't get a feature toggle. You get a working system.

03

Build deeper

Where native AI capabilities reach their ceiling, we build custom agentic workflows and orchestration logic that connects your tools and fills the gaps. The infrastructure gets designed around how your team actually works, not how a vendor assumes you do.

04

Stay sharp

We establish governance frameworks, monitor performance, and iterate as your GTM motion evolves. AI systems need maintenance, oversight, and regular tuning. This is how what we built keeps working — and keeps getting better.

COMPLETE REVOPS SOLUTIONS

Because AI built on unstable foundations is just overhead

Marketing Ops
Marketing Operations

Fix demand systems sales doesn’t fight

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Sales Operations
Sales Operations

Remove the admin drag so sales actually sells

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GTM Intelligence

Walk into every QBR with answers, not excuses

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Service Operations

Spot churn risks before they become fires

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Advertising Operations

Run high-ROAS campaigns across channels

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Fractional RevOps

Embedded team driving revenue systems

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FAQS

Questions?
We’ve got answers

What does the first engagement with you look like?

We always start with a diagnostic. We map your stack, audit your data, and identify which AI operations services are worth deploying for your GTM motion. You leave with a clear activation roadmap.

Does our CRM data need to be clean first?

It's better if it is. However, in our experience as GTM AI ops experts, teams we work with come in with messy CRM data. We audit and fix it as a core part of every AI for GTM engagement.

Do we need a AI engineer on our team for this?

Not at all. That's part of why teams bring in AI RevOps experts rather than hiring for this internally. We design, build, and hand off the system with documentation your team can actually run. 

We've already started with GTM AI. Can you still help us?

Absolutely. Most teams we engage with have already made a start. We assess what's been deployed, what's actually working, and build from there with AI RevOps services that fill the gaps.

How involved does our team need to be?

More than a sign-off, less than a second job. We run the diagnostic, design the AI for GTM workflows, and do the technical build. Your team owns decisions and the final output. 

What happens after the initial deployment is done?

Most teams move into an AI RevOps consulting retainer. That covers performance monitoring, prompt updates, governance reviews, and iteration as your GTM motion evolves. The deployment is the start, not the finish. 

Your revenue QBRs are about to get a whole lot better

Reach out to make it happen