AI Marketing and Revenue Operations for B2B SaaS
We build AI revenue operations. Former CROs learn what works for your business and prove each process first. Then AI agents take over the repeat work, and your team approves what goes out.
- pipeline generated for clients
- $340M+
- meetings booked per month
- 150+
- to the first running process
- 3 wks
What we build
What we build.
Each one is set up and proven with our team, then runs every week on your stack. You own all of it.
- 01AI Content ProductionAI does the keyword research, the outlines and the first drafts. Editors check voice and facts before a page goes live.
- 02Outbound With Real ResearchEvery email names something real about the account, like news, funding or tech stack. AI does the research and a person reviews the message.
- 03Tested Each WeekAI watches ad, email and conversion data and flags what is slipping. A person approves every change before AI makes it.
- 04Reports From Your CRMEvery touch lands in your CRM, weighted by how deals actually closed.
The revenue system
Start with one process. Add more.
We learn the business and build your first go-to-market process on us this month.
Brings buyers to you.
Built once. Every process reads it.
How it gets built
Proven first, then automated.
- Your CRM
- Sales calls
- First process
- Prove it works
- AI-run process
- Weekly review
- Slack Work to approve
- CRM Leads and replies
- Your site New pages
What runs every week
Your marketing, week by week.
- Monday We review last week's numbers with you.
- Tuesday New work is drafted for each running process.
- Wednesday Our team checks every draft before it ships.
- Thursday Work goes live on your site and in your inbox.
- Friday You get a short note on what shipped and what moved.
AI as Production Infrastructure
The marketing industry is having a moment with AI. Everyone is adding “AI-powered” to their pitch deck. Very few are actually building systems.
Growigami builds AI revenue operations. Former CROs get each process working first. Then it becomes part of your stack. It runs every week and gets better with data.
What AI Systems Look Like in Practice
Content production pipeline. AI researches keywords, generates outlines, writes structured first drafts, and formats output for your CMS. Humans review for accuracy, voice, and strategic framing. The pipeline ships 10x more content than a manual workflow. See how we build content engines.
Outbound research engine. For every prospect on your list, AI pulls company news, recent hires, funding data, tech stack, and competitive context. This research feeds into personalized outbound sequences where every email references something real about the prospect. Response rates double.
Campaign optimization loop. AI monitors ad performance, email metrics, and conversion data in real time. When a campaign underperforms, AI flags it and suggests adjustments. When a sequence overperforms, AI recommends scaling. Humans approve changes; AI executes them.
Attribution modeling. AI analyzes conversion paths and assigns credit based on actual patterns, not rules you made up in a spreadsheet. This reveals which channels truly drive pipeline - often different from what the last-touch model shows.
Human-in-the-Loop, Always
Every AI system we build has human review built in. AI proposes, humans dispose. This is not philosophical - it is practical. AI makes mistakes. AI lacks context. AI cannot judge whether a message will land with a specific buyer persona.
The value of AI is speed and scale. The value of humans is judgment and quality. Our systems combine both.
The Compound Effect
AI systems get better with data. The content pipeline learns which topics and formats drive traffic. The outbound engine learns which personalization patterns get responses. The optimization loop learns which campaign structures convert.
After six months, your AI revenue operations are significantly better than they were at launch. After a year, they are better than any manual process could be.
That is the real promise of AI in marketing: systems that compound.
Talk to sales. Give us read access to your CRM, and within a week we show you the first process we would build and what it would produce.
Proof
$250M+ pipeline for Reworld.
“Hundreds of millions in pipeline. 150+ meetings a month. They understand our product, our buyers, and our sales cycle.”
- pipeline
- $250M+
- conversion
- +24%
- new segments
- +26%

Price
From $1,999 a month.
We learn the business and build your first go-to-market process on us this month.
FAQ
Questions before you start
What are AI marketing systems?
AI marketing systems are processes that use AI for repeat marketing work, such as research, drafting and reporting. Each part feeds data to the others, so the whole process improves over time.
How does Growigami use AI in marketing?
We set up each process and prove it works first. Then AI takes the repeat work, from keyword and prospect research to first drafts and reporting. A person reviews every output before it goes live.
Will AI-generated content rank in Google?
Google ranks content on quality and trust, whoever drafted it. Our AI-assisted pages rank because editors check facts and voice, and the sites have strong technical SEO.
How is this different from marketing automation tools like HubSpot?
HubSpot runs the workflows: emails, lead scoring and form routing. AI revenue operations produce what goes into those workflows. We build on the HubSpot or Salesforce account you already have.
Start with one process.
We learn the business and build your first go-to-market process on us this month.



