Eze Jane Chinyere

Most B2B companies waste 20+ hours every week on manual prospecting.

I engineer AI-powered revenue systems that remove that waste entirely.

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I don’t set up tools.

I architect go-to-market engines.

While most teams rely on generic outreach and fragmented workflows, I design end-to-end systems that:

→ Identify high-fit companies that match your ICP

→ Research each account using AI (signals, context, buying triggers)

→ Generate tailored messaging for executive-level buyers

→ Add, nurture, and track leads automatically

→ Sync cleanly into your CRM with zero manual work

This isn’t lead generation.

It’s revenue infrastructure.

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Recent build

For an AI automation CEO targeting $100M–$200M SaaS companies, I designed a self-operating GTM system:

• Automated ICP discovery and enrichment

• AI-driven account research (funding, tech stack, growth signals)

• Personalized outbound sequences at scale

• Native CRM and inbox synchronization

Outcome:

A qualified outbound pipeline running without manual prospecting.

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What I engineer

Not “Apollo setup” or “Clay consulting.”

I design complete revenue systems:

✓ Automated ICP discovery & enrichment

✓ AI-assisted account research & personalization

✓ Scalable outbound sequencing architecture

✓ CRM-integrated GTM workflows

✓ Conditional logic for multi-ICP campaigns

✓ Always-on lead generation engines

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Who this is for

• B2B SaaS founders tired of manual outbound

• Sales leaders who need predictable pipeline without scaling headcount

• RevOps teams building durable GTM infrastructure

• Agencies running outbound at scale

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Let’s talk if you:

• Care about leverage, not busywork

• Want predictable pipeline, not random outreach

• Understand that systems—not hustle—scale revenue

DM me “SYSTEM” if you want to see examples of what I’ve built.