AlchemistX: The Corporate and Government Services Division of @AlchemistACC. Host of Innovators Inside Podcast.
San Francisco, CA
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Lasting change can’t be forced.
Jennifer Charbonneau explains how small wins, trust, and visible progress build momentum until adoption starts spreading on its own.
▶️ Watch or listen: bit.ly/4zivghI
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Scaling requires more than growing revenue. It requires building the organization your future business will demand.
The companies that grow well don’t wait for complexity to arrive before preparing for it. They hire, lead, and build ahead of the curve.
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The best AI outcomes come from pairing the right tools with people who deeply understand the work.
In the new Innovators Inside episode, Jennifer Charbonneau and Ian Bergman explore how AI can amplify domain expertise.
▶️ bit.ly/4zivghI
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AI pilots are everywhere. Real business impact is harder.
Jennifer Charbonneau explains why AI initiatives should start with an organization’s biggest value drivers, not the newest tool.
▶️ Watch or listen: bit.ly/4zivghI
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What makes transformation actually stick?
Jennifer Charbonneau joins Ian Bergman on Innovators Inside to unpack why AI initiatives stall, how to stay focused on business value, and why moving fast only works if people move with you.
▶️ bit.ly/4zivghI
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Transformation rarely fails because of strategy alone.
Jennifer Charbonneau, COO of Cache Energy, joins Ian Bergman to discuss trust, small wins, AI adoption, and what it really takes to create lasting change.
▶️ bit.ly/4zivghI
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AI can make companies leaner. But what happens to the leadership pipeline five years from now?
Travis Hann and Ian Bergman discuss how cutting junior and middle-management roles could reshape how future leaders are developed.
▶️ Full episode: bit.ly/4AMEX9U
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Building technology is only the beginning. Every custom solution carries an ongoing cost to maintain, adapt, and evolve. The real strategic decision is knowing when ownership creates lasting value and when renting a capability is the smarter choice.
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Don’t hire for the company you have today. Hire for the company you’re building.
Travis Hann explains why the right executive needs to fit your next stage of growth, not just your current one.
▶️ Full episode: bit.ly/4AMEX9U
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The easiest person to like in the room is not always the right person to hire.
Travis Hann explains why executive hiring gets risky when chemistry and confidence replace evidence, and why finding candidates is only half the job
▶️ Watch full episode now: bit.ly/4AMEX9U
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Hiring the right leaders gets harder as companies scale.
Travis Hann joins Ian Bergman on Innovators Inside to discuss executive hiring, what to look for beyond the résumé, the cost of a bad hire, and how AI is changing talent assessment.
▶️ bit.ly/4AMEX9U
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New episode of Innovators Inside 🎙️
Ian Bergman sits down with Travis Hann of Pender & Howe to discuss executive hiring, why key hires fail, how AI is changing search, and why human judgment still matters.
▶️ bit.ly/4AMEX9U
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The biggest AI opportunity may not be replacing people. It may be making them far better at what they already do.
Ian Bergman and Andrew Brooks discuss why the best AI systems complement human expertise instead of automating for its own sake.
▶️ bit.ly/3TujaTu
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The hardest innovations are often judged with tools built for yesterday’s reality.
When there’s no precedent, historical benchmarks can become blind spots. The better question is not “How does this compare?” but “What must be true for this to work?”
That’s first principles.
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Should you build your own AI solution or rent the capability?
Andrew Brooks’ test: does it deepen your moat?
Build when AI turns unique data, workflows, or expertise into an advantage. Rent when it’s a commodity.
▶️ Full episode: bit.ly/3TujaTu
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If your AI was built over the weekend, it probably is not production ready.
Andrew Brooks explains why real AI has to survive messy data, edge cases, and the 1% demos often miss.
99% accuracy sounds great until the 1% matters.
▶️ bit.ly/4cBDHvN
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What happens when AI is right 99% of the time, but the 1% it gets wrong matters most?
Andrew Brooks breaks down why impressive AI demos don’t always survive production, and why the future may be human + AI, not full automation.
▶️ Full episode: bit.ly/4cBDHvN
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AI demos are easy. Building AI that works inside a business is harder.
On Innovators Inside, Ian Bergman talks with Andrew Brooks of Contextual.io about the “AI hype tax,” production failures, build vs. rent, guardrails, and ROI.
▶️ bit.ly/4cBDHvN
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Frontier tech is hard to evaluate without technical depth.
Emmanuel Vallod explains why early-stage deep tech investors need to understand the code, math, architecture and research risk—not just the market.
More on Innovators Inside: bit.ly/4gXNS05
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