How I help you sell to the enterprise.
Engagements built around your team and handed back as something they can run. I go deepest in data, analytics, AI, and security. The same approach works for any senior economic buyer worth your pipeline.
I write the cold email and run the LinkedIn outreach that books calls with your buyer.
The message stays human and short. Relevance beats fake personalization at scale. AI does the targeting, the research, and the triage. It does not write you a fake 1:1 email.
- An ICP and account list built to your buyer, not a lookalike spray.
- Cold email sequences written by hand, in your buyer's language.
- LinkedIn campaigns that open conversations, not connection spam.
- Deliverability infrastructure: multi-domain warmup, sender rotation, reply routing.
- Reply triage so your AEs only touch the live ones.
- Weekly optimization. Monthly content refresh.
Live in two weeks. Built on Smartlead, Email Bison, and HeyReach.
I advise field marketing and event teams on filling the room with the right buyers, then converting them to pipeline.
- Audience targeting: the list of senior leaders worth recruiting.
- Speaker and advisory-board recruitment.
- Messaging that gets a senior buyer to say yes.
- Content and programming that earns their time.
- Pre-event outreach, at-event play, post-event follow-up.
- A follow-up motion that turns attendees into pipeline, not badge scans.
For teams who want a better room and real pipeline from it.
I help your team adopt AI and keep the bill sane.
- The right model for each task, not the priciest path by default.
- Multi-model and skill routing built in (Factory Router, Skillier).
- Cost visibility, so you see where the spend goes.
- Frontier performance at lower cost, benchmark-backed.
- Routing rules tuned to how your team actually works.
A bigger token bill doesn't mean more work got done.
The outbound and event systems run on AI I build myself.
Research agents, contact enrichment, competitive and market intelligence. I use Nous Hermes, OpenClaw, Firecrawl, and multiple foundation models from Anthropic to open source. This is why the work ships fast and why it never reads like a template.