Sabine VanderLinden

Activate Innovation Ecosystems | Tech Ambassador | Founder of Alchemy Crew Ventures + Scouting for Growth | Chair, Board Member, Advisor | Honorary Senior Visiting Fellow-Bayes Business School

I don't just talk about innovation, AI, workforce or digital transformation— I build the bridges that make things real.

As Founder & Venture-Client Partner of Alchemy Crew Ventures, I run global R&D + Adoption Labs that connect Fortune 500 insurers and corporates with the most brilliant tech ventures on the planet. Think of us as the “fast lane” between startup brilliance and enterprise adoption. My themes include FinTech/ InsurTech and deploying AI at scale responsibly. 

What this looks like in numbers:
📍 Accelerated 160+ ventures and sourced 55,000+ startups worldwide
📍 Invested in 35+ early stage startups
📍 Delivered exits like FitSense → Zurich (2018), MyFutureNow → L&G (2019), and Tia Tech → Sapiens (2020)
📍 Created Insurer-led Acceleration and Scaleup programs that turned pilot purgatory into scalable commercial success

But the real story? I help founders land their first million-dollar client, build authentic personal brands, and help corporates cut through the noise to adopt tech that drives real growth.

My world revolves around:
📍 Venture Clienting 2.0 & Corporate Innovation Frameworks
📍 AI (ethics, adoption, emerging risks)
📍 Climate Resilience, Risk Futures & Sustainability Transformation
📍 The Future of Work (where humans + tech thrive together)

Beyond Alchemy Crew:
📍 Co-editor of the bestselling INSURTECH Book
📍 Wrote forewords for the Future of Insurance and Momentum
📍 Lecturer on Corporate Venturing at Bayes Business School
📍 Board + advisory roles across VCs, Scaleups (The CareVoice), foundations (Women to Watch), standards (ACORD Solutions) & global insurers
📍 Top 10 Business Podcast "Scouting for Growth" 
📍 Recognized with 10+ awards, including Most Influential CEO – Insurance Corporate Ventures (2024/2025)

My channels beyond LinkedIn:
x.com: @SabineVdL
instagram: @sabinevdlofficial
Medium: @sabine_vdl
Podcast: Scouting for Growth and Beyond Tech Frontiers
Newsletter: alchemycrew.ventures

What drives me?
Creating value where others see friction.
Turning hype into measurable outcomes.
And making sure technology becomes a force for good, not just another buzzword.

Award List (10+): Insurance Times-Tech & Innovation Awards Winner (2018), Grant Thornton-Face of a Vibrant Economy (2018), Business Insurance-Women to Watch Honoree (2019), Corporate Vision-Venture Validation Firm of the Year (2021), Finalist Women in Insurance Perseverance Award (2021), Awarded Perseverant Company to Watch in (2021), ACORD Awards (2020/2023), Most Influential CEO-Insurance Corporate Ventures (2024/2025).

Co-founder, Chief Executive Officer & Venture Partner

Delivering venture labs that accelerate, industrialize and democratize the way tech ventures engage with corporations. These labs apply acceleration, co-creation, and commercialization techniques to de-risk the way insurers and financial institutions collaborate, grow, and scale their venture-led growth initiatives.

Also, systematizing for a select group of growth ventures the way their engagement with corporations.

You can find out more 👉🏽 https://alchemycrew.com/

🌟 As we stand on the edge of a new year, it's clear the last 12 months weren't about smarter dashboards or louder chatbots. 💫

They were about a fundamental shift in what AI can do.

Our journey with SAS into Trustworthy #AgenticAI has been a revelation. Across every conversation, case study, and poll, the same powerful signals emerged—pointing to a future where AI doesn't just analyze. It acts. Human-led and agent operated. 

If you missed parts of the series, this thread connects it all. If you've been with us the whole time, this is the blueprint for what comes next.

The 5 Big Takeaways:

🤖 Action over analysis. Intelligent decisioning is already stopping fraud and rerouting claims in real-time. Decisions in motion—not data on a screen.

🔒 Trust through transparency. Governance and human oversight aren't optional. They're the entry ticket.

🧠 Smarter AI from synthetic data. It's how AI learns faster, safer, and in ways real-world data never could.

👫 Human + AI = Dream Team. The most powerful applications are human-in-the-loop. AI handles speed and scale. Humans provide judgment and ethics.

🚀 Autonomy is here—prepare now. Leading companies aren't asking if Agentic AI matters. They're asking how fast they can operationalize it responsibly.

Agentic AI will reshape organizations. The question is: who can deploy it with confidence? Which of these five insights resonates most with your 2026 strategy?

Happy New Year 2026.

#BusinessTransformation #FutureOfWork #Leadership

SAS - The 5 Big Takeaways

As the festive cheer of Christmas settles into a quiet hum, I find my thoughts drifting back to a truly magical experience on Faena Beach. 

You will find there on the beach Es Devlin’s breathtaking installation, “Library of Us,” that offers the most profound gift of the season: perspective.

Imagine a towering, mirrored library, shaped like a pyramid, rising from the sand. Inside, 2,500 books stand as silent storytellers, their spines a kaleidoscope of color against the endless blue of the Miami sky. The structure itself is a masterpiece, its reflective surfaces blurring the lines between the tangible and the infinite, the sky and the sea.

At the heart of this installation appeara a quote from Jorge Luis Borges: 

“I am not sure that I exist actually. I am every book I’ve ever read.” 

“Library of Us” is a physical embodiment of this idea, a testament to the fact that we are all, in essence, a collection of the stories we’ve absorbed, the perspectives we’ve encountered, and the lives we’ve touched.

In these quiet moments after Christmas, a time for reflection and connection, this installation feels particularly poignant. It provides an invitation to see the world through the eyes of others, to find connection in our shared human story, and to recognize the beauty in our collective diversity. 

We have to admit that this is a powerful reminder that even with our differing points of view, we can coexist in harmony, much like the thousands of books in that library on the Feana Beach.

As we step into the new year, let’s carry the spirit of the “Library of Us.” 

It’s a reminder to stay open, to listen, and to remember that every person we meet is a library of stories waiting to be read. 


What a beautiful way to begin a new chapter.

Credit: Art

🌟 The ground just shifted beneath the world of risk! And most leaders missed it.  Here is why...💫

Did you see this? Last week, Munich Re began insuring AI model errors for mortgage lenders. While this certainly demonstrates that AI is becoming a more prominent emerging risk in our lives, it also signals a seismic shift: the #AgenticFrontier is no longer a theoretical future—it has arrived.

For years, we've talked about transformation. Yet Boston Consulting Group (BCG)'s data shows a stark reality: while 78% of P&C insurers are “dabbling” with AI in the claims process, only 4% have successfully scaled it. Imagine what this means across the insurance operations and the overall enterprise.

The rest are caught in the “pilot trap,” a sinkhole for laggards.
The gap between the talkers and the doers has become a chasm. The 4% are fundamentally redesigning their businesses around AI.

This is no longer about whether you'll embrace #agenticAI. It's about how you'll lead the transformation. For corporate leaders, the mandate is clear. For founders, the 18-month enterprise sales cycle is now optional for those who can provide de-risked, insured solutions.

Here is the playbook for those ready to move from ambition to action:

1️⃣   Stop the science projects. Pick one end-to-end process—claims, underwriting, finance, customer support—and commit to a complete, AI-driven redesign. The real ROI is in redesigning the unglamorous, high-impact back-end operations, not bolting AI onto broken workflows.

2️⃣   De-risk your transformation. AI error insurance is now a board-ready mandate. Use it to turn AI from a high-risk experiment into a scalable, enterprise-grade asset.

3️⃣   Reframe the protection gap as an innovation mandate. The same creativity used to insure algorithms must be turned toward insuring humanity against Nat Cat/ extreme weather risks and other systemic risks. This is the largest market opportunity of the next decade.

The uninsurable world is a choice, not a necessity. The leaders of 2026 will be those who use the tools of the agentic frontier to rewrite the rules of risk.

What is the most fundamental “gap” you see in your organization’s AI strategy right now? Please share...

Is it the tech, the talent, or the trust?

And enjoy this week's newsletter. 👏🏽

#CapacityGap #TrustbyDesign

The Week That Changed Everything Last week, while most of us were winding down for the holidays, the ground shifted beneath the world of risk. Munich 

Open article: The Frontier Is Here: Your Top 10 Insurance Trends for 2026 by Sabine VanderLinden • 10 min read

The Frontier Is Here: Your Top 10 Insurance Trends for 2026

I could not resist! Even dogs know: transformation takes teamwork, patience… and a lot of kneading. 🐾🍞

Wishing you a Merry Christmas and a 2026 filled with ideas that rise beautifully—especially the bold ones.

🎄 Three days before Christmas is a funny time to talk about Agentic AI.
But it’s actually the perfect one. 👇🏽

Because right now, leadership teams aren’t buying tools. They’re quietly asking a more complex question:

“What do we trust our AI to do in 2026?”

Over the past weeks, one message kept surfacing — across exec conversations, real use cases, and your feedback:

👉🏼  Agentic AI only scales when trust is designed in.
➡️  Not later.
➡️  Not after the experiment or going into implementation.
➡️  From day one.

So as we close the year, here’s a practical recap — the checklist enterprises should take into 2026:

📌 1. Explainability is non-negotiable: If you can’t explain a decision, you can’t defend it to regulators, customers, or your own board.
📌 2. Clear autonomy boundaries beat “AI optimism”: Define exactly what AI can decide, when humans intervene, and how edge cases escalate.
📌 3. Human fallback is a strategic feature, not a failure: The most resilient systems assume exceptions and design graceful handoffs to experienced humans.
📌 4. Ethics isn’t a policy, it’s a process: Regular, diverse review of autonomous decisions keeps bias and blind spots from compounding.
📌 5. Continuous monitoring protects trust: Drift, anomalies, and unintended behavior don’t announce themselves. You have to watch constantly.

This is why I keep saying:

Don’t build GenAI foundations on quicksand. The organisations that will lead in 2026 won’t be the ones with the flashiest demos.  They’ll be the ones who can let AI act responsibly.

My question for you, as we head into the holidays: Which of these five will be your biggest focus in 2026 — and why?

👇 Drop it in the comments. Let’s compare notes before the year resets.

#AgenticAI #TrustedAI #SASViya

Keith Gill

Fractional Growth Marketer for Hire | 217% increase in "closed-won" MQL’s from inbound | Marketing Execution Pro | Tactician & Strategist | B2B Demand Gen @ Truth in IT | Lead Gen, Analytics & Marketing Ops for B2B SaaS

I’m a scrappy full stack digital marketing professional and GTM Engineer. I lean heavy to the "demand generation" side of marketing focus.    I succeed by being data-driven and creative.  I persevere  by operating with authenticity, integrity and "grit".

I'm an experienced team leader managing team members. Experience developing, implementing, managing MarTech stacks, A.I. Workflows, Data Enrichment, improving Paid Ad/SEO results. I'm an experienced lead on cold email, marketing automation outreach and targeted ICP lead generation GTM tactics with an attributable closed loop ROI

Recent Wins:

✔  Achieved a 42% increase in marketing-sourced closed-won deals, elevating the contribution to new revenue from the pipeline from 20% to 62% within 24 months, resulting in a company-wide Monthly Recurring Revenue (MRR) growth from $500k to $865k as of June 2023. - LeadGenius inc.

✔ Orchestrated a remarkable 280% year-over-year surge in organic traffic from August 2022 to August 2023 . This accomplishment was realized through strategic on-site technical SEO enhancements, off-site content strategy implementation, and targeted organic social media strategies. - LeadGenius inc.

✔ Spearheaded the implementation of Pardot marketing automation, Qualified.com, and Chili Piper at LeadGenius.com, leading to a 37% increase in operational efficiency and an accelerated speed-to-lead, subsequently enhancing pipeline forecasts. 2020 to 2023 - LeadGenius inc

✔ Achieved a 73% improvement in Google Ads web lead conversions for Watermark Communities from March 2020 to October 2020 during the COVID-19 quarantine. Accomplished this feat with a 10% reduction in budget compared to the immediate previous period through improved targeting, ad copy adjustments and on-site copy improvements. - WaterMark retirement communities

✔ Catalyzed the exponential growth of the Growers Network / Canna Cribs YouTube channel subscribers from approximately 9,000 to over 43,000 in just 9 months (Oct 2018 to June 2019). - GrowersHouse / Growers Network / Canna Cribs

✔ Optimized Klaviyo email marketing campaigns and email behavior-triggered flows at Growers House, leading to a substantial increase in consistent monthly revenue from $20,000 to $46,000 a month (July 2018 to June 2019). - Growers House

Expert Level Skill Set in the Following:

-Cold Email Infrastructure
-Email Marketing
-Content Marketing
-Social Media Marketing
-Video Marketing
-Media Buying/Traffic Acquisition
-Testing & Optimization
-SEO (on and off page)
-Google Search Ads PPC
-LinkedIn Ads
-Marketing and Workflow Automation

Head of Marketing

I am currently leading the execution of all digital and cross channel marketing efforts for the entire company with a heavy focus on demand generation and producing a more qualified MQL to SQL and BANT leads for our internal account based marketing (ABM) sales team.

- LeadGenius is a demand generation growth automation company that uses a combination of AI data mining technology and real people to automate and accelerate outbound sales and marketing for hundreds of mid-market and enterprise companies from around the world.

- We provide our clients access to highly accurate, very customized and actionable lead data to do highly targeted and personalized outreach to its prospects. We help our customers go after well defined or completely new markets or help them augment their existing data to help accelerate their sales cycles.

- Over 80% of B2B data has not yet been discovered. LeadGenius is an Intelligent Data Service vendor that can uncover hard to find B2B data and personalize it to a specific business. LeadGenius sources vertical or international data at scale using a proprietary blend of technology automation and human experts.

- LeadGenius is backed by some of the most prominent investors in the Silicon Valley, including Sierra Ventures, Lumia Capital, Javelin Venture Partners and SJF Ventures.

You want to really know what cold email at scale with huge success looks like, follow Taylor Haren

Taylor is the GOAT with cold email infrastructure and scaling it to a well tuned machine.

$4,300,105.41 in Peak Annual Pipeline for Fyxer AI as they went from $1M to $10M ARR in five months. Sending 12.4M+ cold emails and processing 76M+ Clay enrichments per month. Generated 42% Rev for RB2B in 2024.

We built a cold email machine for an Ai SaaS that projected $32.2M in annual pipeline.

We only got to $4.3M before they fired us.

I'm sharing everything anyway. F-ups included.

Fyxer AI came to us right before their demo day.

"Can you send half a million emails next week?"

We said yes. Built the machine in 7 days.

6 weeks later: 2,228 signups. One of their first ~$1M enterprise deals. Demo day went great.

Then they raised a $10M Series A.

Then we got fired. And it was all my fault.

Our testing tanked their CAC. So they issued a 30-day cancellation notice.

My biggest client. Gone.

But. 

I pitched a performance model. Proved the results. Then they canceled the cancel.

That led to:

- 8.8 million emails per month at peak
- 4,275 signups per month
- 643 emails per signup (11x improvement from where we started)
- $4.3M in annual pipeline revenue

Then Fyxer raised a $30M Series B and hit $17M ARR.

I documented the entire 10-month journey on the largest cold email operation of 2025. Here's what's inside:

- How we went from 7,317 emails per positive to 643 emails per signup
- The 26-variant testing process that found 11x multipliers
- Why we got fired and how I saved it
- Which audience segments converted 5X better (and which we stopped targeting)
- Why we only hit $4.3M of a possible $32.2M (and what it would take to get there)
- The "Series A Plan" framework we built from this

Want the complete Fyxer playbook?

1. Connect with me
2. Comment "FYXER" below

I'll send you the 24-minute video playbook.

(We must be connected or LinkedIn blocks the message)

P.S. Repost this and I'll also send you the full written version with every stat, timeline, and the "Series A Plan" we charge $25k/month for.

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Sabine VanderLinden's LinkedIn Performance

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