Church And AI
About Us

Why Listen To Us?

So, an AI guy and a church girl get married…in the middle of a pandemic. That’s just one of the many fun facts about us. It also means that our dinner conversations naturally revolve around the intersection of faith and technology. Every evening, we bring together stories from the frontline of local church ministry and enterprises adopting machine learning and AI systems.

Together, they ask: What can the Church and AI learn from each other? How do we equip faith communities to leverage AI for human flourishing?

Our passion is demystifying AI for the Church—yet we also recognize the tension between understanding this powerful technology and the responsibility of its users to steward it well.

Melissa and Mike Henderson
Dr. Melissa Henderson

Dr. Melissa Henderson has spent her entire life rooted in the Church. After a childhood as a preacher’s kid, she’s now the one giving sermons. She holds a Doctor of Ministry in Semiotics, Church and Culture from Portland Seminary and a Master of Arts in Theology and Ministry from Fuller Theological Seminary. She studied under theologian, semiotician, church historian, Dr. Leonard Sweet.

With over 15 years of ministry experience spanning medium to mega-churches, she currently serves on the pastoral staff of a church in Saint Augustine, Florida. While she loves diving into church and ministry strategy, her deepest passion is walking alongside people, caring for them, and helping them discover the love of God.

Melissa is the writer and creator behind Significant Stories, her doctoral project that uniquely combines storytelling with spiritual practices and historical insight to equip congregations to creatively address modern challenges. Helping faith communities navigate the complexities of AI and carry the tension of stewarding it well is just one of the ways she is leading that conversation today.

Mike Henderson

Mike Henderson operates at the global cutting edge of artificial intelligence, machine learning, and data science. His 25-year career includes over a decade as a statistician and manager at Johnson & Johnson, where he coauthored clinical measurement scales still used across the industry. He then spent eight years at SAS helping hospitals, insurance companies, and pharmaceutical firms build advanced analytical systems to solve core problems, during which he coinvented patented algorithms for drug and crop science development.

Now marking over five years at Google Cloud, he engineers machine learning architectures to solve massive corporate scale challenges and leads an international GitHub community of over 1,000 data scientists. He specializes in pulling back the curtain on complex digital systems, helping organizations operationalize advanced technology with clarity, precision, and a commitment to Human-in-the-Loop (HITL) system design.

Resource Library

A curated list from people we respect.

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Resources Coming Soon

We're curating a collection of books, articles, talks, and tools that have shaped our thinking about faith and technology. Check back soon.