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I help organizations design and implement AI that works like an operator thinks.
Not another tool. A system you can measure, trust, and scale.

Every project starts the same way: map how the work actually moves inputs, rules, outputs.
Then, build one workflow end-to-end, add guardrails, and prove the lift before scaling it.
It’s how AI moves from pilot to production with confidence.

My work spans solo operators to enterprise teams, helping them turn AI from a buzzword into a repeatable advantage that's measured in hours saved, errors reduced, and results delivered faster and more consistently.

I believe AI succeeds when it earns trust:
Clear steps, auditable logs, a human in the loop, and metrics that matter.
That’s how adoption sticks and performance compounds.

Let's connect if you care about building AI that actually works, clarity over hype, & proof over promises.

Follow for practical frameworks, shipped results, and insights from real implementations.

I took a couple months off LinkedIn.

I moved. I lost my father. And I needed to work through some things quietly.

I needed space to process, to grieve, and to figure out what comes next without an audience.

I don't love talking about this publicly, but I wanted to say something real instead of just reappearing like nothing happened.

Rest isn't quitting. I had to step back to keep going.

I'm back now and ready to get back.

The break gave me clarity on what actually matters. The work I want to do. The way I want to show up.

I want to create real change. Impact that's meaningful and measurable for the people I work with. Not just work that keeps me busy.

If you've ever needed to step back to take care of yourself, I'd love to hear your story. How did you know it was time? And how did you find your way back?

Brianna Bentler

I help owners and coaches start with AI | AI news you can use | Women in AI

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Stop calling AI "useful" if it doesn't own the work.

That's why most GTM AI assistants fail.

Not model quality. Not data.
Ownership.

They don't own a job.
They don't own an outcome.
They don't own the mess in between.

That clicked for me the more I used Apollo's AI Assistant.

You're not asking it to "help."
You're asking it to take responsibility for a workflow.

Example shift:
Not "write me a sequence," but "build it, launch it, and tell me what to fix."

That difference matters.

When AI owns the workflow:
• Fewer handoffs break
• Fewer tools need babysitting
• Fewer things silently fail

And when the system explains what it's doing and why, trust compounds.

This is where GTM is headed.
Not more prompts. Not smarter copy.
But fewer decisions for humans to make.

If AI doesn't reduce cognitive load and operational drag, it's just another dashboard.

Join the beta waitlist here:
https://lnkd.in/gVsyArKJ

♻️ Repost if you're done babysitting AI tools that never fully take over the work.

#ApolloAIAssistant #ApolloPartner

P.S. If AI could fully own one GTM task for you, which one would you hand off first?

Real talk:

Most "AI assistants" don't actually do the work.

They write drafts, answer prompts, look impressive in demos. But they break when real GTM work starts.

What stood out to me while testing Apollo's new AI Assistant is that they didn't build another point tool. They built an assistant that executes full GTM workflows, end to end.

In one platform, in plain English, it can:

• Target and research accounts
• Build decision-maker lists
• Create and launch sequences
• Analyze campaigns and optimize results

No stitching tools. No prompt engineering. No guessing what happens next.

The real win isn't just speed, though hours turn into minutes. It's trust.

The assistant shows what it's doing, explains each step, and makes costs visible before taking action. That's why teams actually use it instead of letting it collect dust.

This is the shift GTM teams have been waiting for:

AI hype → AI that actually works
Fragmented tools → one workflow owner

Join the beta waitlist: https://lnkd.in/gVsyArKJ

P.S. What part of your GTM process still feels too manual?

#ApolloPartner #ApolloAIAssistant

Your best ideas shouldn't live in Figma forever.

Here's how I turned a design into a working app in one afternoon.

I had a simple workflow tool mocked up in Figma for months. Clean layout, clear buttons, nothing fancy.

But I kept putting off the build. Assumed it would take days of setup, debugging, and configuration.

Then I opened it in Replit.

Here's what actually happened:

✅ Layout imported instantly. Structure, buttons, sections pulled in with zero setup.

✅ I described behavior in plain English. "Make this button switch screens." "Save this input." Replit updated it live.

✅ Visual editor made refinement simple. No config rabbit holes. Just click, adjust, keep moving.

Within minutes, I was clicking through a working version.

Not a mockup. A functioning app.

The gap between "I wish this existed" and "I just built the first version" collapsed.

Bottom line: If you have designs or ideas sitting untouched, Replit is the fastest path from concept to something real.

You can test whether your idea actually works the same day you start.

Try it yourself: https://replit.com

Follow Brianna Bentler for practical AI systems and real-world implementation insights.

What's one idea you've been holding onto that deserves a real test?

♻️ Repost: What's one idea you've been holding onto that deserves a real test?

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