Kemal Apaydin
Autonomous AI agents have started acting on people’s behalf, sending messages, booking, buying, and making decisions without a human in the loop. Organisations now have to decide how much of that autonomy to hand over, and who answers for it when an agent gets something wrong. The technology is moving faster than the controls and oversight meant to govern it.
Kemal Apaydin is a technology founder who helps organisations understand where autonomous AI agents and personal AI are heading, and what handing everyday decisions to software means for privacy and human control.
Full Profile
Why organisations work with Kemal Apaydin
- He speaks from the builder’s seat. He is currently building an AI product that prices and anticipates risk for health insurers, so his read on where agentic AI works and where it breaks comes from shipping it.
- He connects the frontier to the decision that follows it. His sessions take a live example such as the open-source agent OpenClaw and turn it into the choice leaders actually face: how much autonomy to delegate, and where to keep a human.
- He has built at the edge of more than one technology cycle. Before AI he founded one of Turkey’s early blockchain communities, which gives him a pattern-level view of how emerging technology moves from hype to infrastructure.
- He treats privacy and human agency as design questions, not disclaimers. That framing is useful for organisations that want the upside of autonomous systems without signing away control of their data or their decisions.
Biography highlights
- Founder of Alon Health, an AI product that uses wearable-device data to help health insurers assess and anticipate risk, based in Berlin.
- Alon Health went through Y Combinator.
- Founder of ARTI Innovation and a TEDx speaker (TEDxOZU, Özyeğin University).
- Founder of Blockfellow, an early blockchain community and co-working initiative in Turkey.
- Co-founder and CEO of Chain Networking, and co-founder of Shelly Sleep, a privacy-oriented sleep-diagnostic wristband.
- Studied at Bilkent University and completed executive study with Harvard Business School Online.
Biography
An open-source project called OpenClaw spread to tens of thousands of developers within days of launch, letting an AI agent read your messages and act across your accounts. That shift, from software that answers to software that acts, is what Kemal Apaydin works on. He builds in it rather than watching it.
His company, Alon Health, applies the same idea inside insurance. It reads signals from wearable devices to help insurers anticipate risk and shape decisions about pricing and cover. Building it has given him a grounded read on where autonomous systems earn trust and where they lose it.
This is not his first frontier. Before AI, he founded Blockfellow, an early blockchain community in Turkey, and ran education programmes that pulled hundreds of students from Istanbul universities into the field. The pattern across his work stays the same: get inside a technology while it is still forming, then figure out what it will mean once it settles.
He can take a live system like OpenClaw and walk leaders through the question underneath it: how much of a purchase or a decision they will hand to software, and what they keep for a human. That conversation matters for any organisation weighing how far to let autonomy run. The harder one sits right behind it. When an agent acts on someone’s behalf and gets it wrong, who is accountable?
Key speaking topics
- Autonomous and agentic AI
- Personal AI assistants
- Enterprise AI strategy and adoption
- Designing and deploying autonomous AI workflows
- AI governance, safety, and responsible autonomy
- Privacy and human agency in AI systems
- Applied AI in insurance and risk
Ideal for
- Chief technology and chief information officers weighing where to deploy agentic AI and where to hold back
- Innovation and digital transformation leaders who want a builder’s read on personal AI, not a vendor pitch
- Strategy teams and boards mapping how autonomous systems change products and accountability
- Insurance and financial services leaders looking at AI-driven risk and the data questions it raises
Audience outcomes
- They leave knowing what today’s AI agents can actually do, and what the demos leave out, drawn from systems already in use.
- A working test for deciding which tasks to hand to autonomous software and which to keep under human control.
- The governance and accountability questions to settle before an agent acts on the organisation’s behalf.
- A builder’s view of where agentic and personal AI are heading, and what it changes for their sector.