I am a generative AI consultant scoped to marketing and go-to-market — not enterprise-wide AI transformation. I help B2B SaaS apply generative AI where it actually creates pipeline: content, demand, research, AI-search visibility and ops.
Scoped to GTM, not “AI fixes everything.”
The market sells generative AI as a fix for everything from HR to finance to support. For a B2B SaaS team, the leverage is concentrated in one place: marketing and go-to-market. I scope to that on purpose, because a consultant who claims to do all of it does none of it well.
Plenty of advisors will hand you a generative-AI deck. Almost none will sit in your stack and ship the workflows that produce pipeline.
Teams wire up generators and flood the channel with generic output. Volume without a human gate erodes the brand it was meant to grow.
“Generative AI everywhere” spreads a small team thin across HR, support and ops. The marketing wins that fund everything get diluted.
I am a marketing operator, not an enterprise-wide AI transformation shop, and I scope honestly. For B2B SaaS, generative AI pays back fastest in go-to-market: research, content, demand, AI-search visibility and the ops around them. I bring strategy and hands-on build to those, run systems that replace two or three manual roles rather than a ChatGPT tab open on the side, and keep a human owning quality. For the roadmap layer, see my AI strategy consultant work; for systems build, my AI automation consultant work.
Concrete generative-AI work that moves pipeline, scoped to marketing and go-to-market, not a slide on enterprise transformation.
Where generative AI can create real leverage across your marketing and go-to-market, ranked by pipeline impact, not by hype.
A prioritized plan of where to apply generative AI in GTM, what to build first, and where a human must stay in the loop.
Research, drafting and repurposing workflows that lift volume across channels, with human review gates so quality holds.
Generative AI applied to campaigns, personalization, enrichment and outbound, tied to pipeline rather than activity.
Getting found and cited inside ChatGPT, Perplexity and AI Overviews, where buyers increasingly research. See my AI SEO work.
Reporting, routing and follow-up automated with generative AI, so the work around the work runs itself.
Map where generative AI fits across your marketing and GTM, and rank the use cases by pipeline impact, not novelty.
Pick the few workflows worth building first, define the human review gates, and set what good output looks like.
Build the generative-AI systems hands-on in your stack, test against real cases, and put them into daily use with your team.
Track pipeline impact and output quality, then extend to the next use case as trust grows.
Generative AI does not fix everything. In GTM, done right, it compounds pipeline.
Andrii Byzov / Generative AI consultant
I am Andrii Byzov — an AI-native marketing operator who has led growth across B2B SaaS and fintech, including CMO roles at DataImpulse and AcademyOcean (Netpeak Group), where revenue grew 4x in the first year.
As a generative AI consultant I scope to what I actually do: marketing and go-to-market. I build systems that replace two or three manual roles, not a ChatGPT tab open on the side, with a human owning quality. If you want this embedded rather than project-based, see my fractional AI work. 15+ years of demand work and an AI-native bias, in one accountable engagement. I write about it on my blog.
A focused GTM audit maps where generative AI fits across your marketing and go-to-market, ranked by pipeline impact, with the highest-leverage builds first.
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