️ With Prof. Dr. Tina Weisser – Professor at
Hochschule München (University of Applied Sciences
Munich)
Summary
In this episode of the in-between trust podcast, Eva
Simone Lihotzky speaks with Prof. Dr. Tina
Weisser about trust, systems thinking, and AI. Drawing
on her path across service design, entrepreneurship,
transformation consulting, and academia, Tina explores
why “trust reduces complexity” and how that insight
reshapes human–technology interaction -
from multi-agent systems to the day-to-day realities of
teams. The conversation moves from black-box
AI to leadership futuring, psychological safety, and
the practical redesign of processes so that humans stay in
the driver’s seat.
Takeaways
Trust reduces complexity and enables decisions under
uncertainty
AI’s “black-box” behavior demands experience,
verification, and critical thinking
Multi-agent systems shift from personal to team and
workflow productivity
Don’t “plug & play” AI - redesign processes with a
systems lens
Keep humans in the driver’s seat: transparency,
orientation, competence
Build psychological safety to experiment, fail, and
learn
Treat AI change as an adaptive challenge (not just
a technical one)
Bridge IT, HR, and leadership - it cannot be
top-down or bottom-up alone
Create time for deep strategic
thinking (“leadership futuring”)
Invest in training & enablement, not only tools
️ Sound Bites
“Trust reduces complexity.”
“We need to stay in the driver’s seat - even with agents in the
background.”
“It’s not a plug-and-play solution; redesign the system.”
“Build trust through experience - and keep your critical
thinking.”
“Make space for deep thinking, not just meetings.”
️ Chapters
00:00 Curiosity, boundary-spanning, and systems thinking
03:14 Trust as a way to reduce complexity (Luhmann)
06:47 AI as a black box: probability over truth
10:19 Learning from early multi-agent experiments
12:27 From personal productivity to team workflows
14:49 Redesigning processes (not just “adding AI”)
16:26 Leading uncertainty: safety, training, enablement
18:17 Adaptive vs. technical problems (Heifetz)
22:38 Bridging culture and tech; capabilities leaders need
24:59 Haltung, self-regulation, and authenticity in
leadership
27:02 Iteration over perfection; shorter planning cycles
30:24 “Stop the noise—start working”: a pragmatic toolbox
32:59 Leadership futuring: time for strategy, signals,
foresight
36:36 In-between moments & reflections
Keywords
trust, systems thinking, leadership, AI, human–AI interaction,
multi-agent systems, service design, process redesign,
psychological safety, adaptive leadership, experimentation,
foresight, leadership futuring
Links
in-between trust on Instagram: @inbetween_trust
More about Hochschule München (HM): [insert link]
More about Prof. Dr. Tina Weisser: [insert link]
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