In this episode of Into The Madverse, Mark Venables speaks with Daniel Meyer, Chief Technology Officer at Camunda, about why AI in regulated industries fails at scale when enterprises cannot prove what the system did, why it did it, and who stayed accountable. They unpack agentic orchestration as the pragmatic route to autonomy, blending deterministic controls with dynamic AI, keeping humans in the loop, and turning “start small” into something that can survive compliance, audit, and legacy complexity.

In this episode of Into The Madverse, Mark Venables speaks with Matt Penton, Director of Data & AI at BIP Group, about why relying on a single large language model is a fundamentally flawed strategy for enterprise AI. They explore multi-LLM consensus, agentic supervision, bias, hallucination, and why no model has a monopoly on truth when real decisions are at stake.

Mark Venables is joined by Sean Grimm, US Country Manager at Ipsotek, to explore why security control rooms remain stuck in passive monitoring despite massive investment in surveillance. They discuss how AI is turning video into proactive intelligence, and why the real opportunity lies in using data organisations already have.

Mark Venables speaks with Dr Ian Robertson, Interim Director at Tandem Health, about how AI is reshaping healthcare not through sci-fi diagnosis but by eliminating the administrative burden that consumes 40 percent of clinicians’ time. They explore how ambient AI, automation and intelligent workflows can reduce burnout, improve care and transform the patient experience.

Mark Venables grills Justin Sharrocks, Managing Director UK/EU, Trusted Tech Team, on why so many AI projects stall at pilot and how to break through to real impact. They tackle hype versus outcomes, data readiness, realistic timelines, and the incentive and leadership shifts needed to turn adoption into measurable value.

Most companies think they are ready for AI because they have a data lake, a chatbot, or a Co-Pilot licence, but Lori MacVittie reveals why those assumptions are dangerously wrong. In this episode, she dismantles the myths of AI maturity and explains what it really takes to scale, secure, and trust AI before the entire enterprise feels the impact.

Recruitment has always been personal, imperfect, and painfully slow. In this episode, Mark Venables sits down with Tom Lakin, Global Head of Future of Work at Robert Walters, to explore how AI is rewriting the rules of hiring, automating bias, exposing trust gaps, and redefining what it really means to be human in the hiring loop.

Philosopher-turned-AI leader Filippo Sassi explores why building AI that can work is not the same as building AI that should work. In this episode, he dissects the architecture of ethical intelligence, from data bias and risk governance to the cultural and philosophical questions shaping the next frontier of responsible AI.

Gen Z is building companies with AI agents as co-founders, interns and middle managers, while legacy enterprises are still writing slide decks. In this episode, Jill Kenney, CEO of Sundae_Bar, maps the plug-and-play workflows, agent-to-agent protocols and outcome-first mindset behind this shift, and explains what leaders must change now.

While businesses rush to deploy AI for competitive advantage, cybercriminals are weaponizing the same technology to launch sophisticated attacks that would have been impossible just years ago. Ethical hacker Andre Baptista reveals how AI is democratizing cybercrime, turning novices into dangerous threat actors, and why fighting AI-powered attacks might require embracing AI as a defence, but at what moral cost?