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2 contributions to AI Automation Agency Hub
Sneak Preview_PLANSHIFT:
Before we officially announce our "corporate site launch," here's a little sneak preview, just for you: planshift.io Quick version: a small Hamburg/Berlin house for good corporate governance. Compliance, so risks don't turn into liability. Strategy, so market reality turns into real decisions. The exciting part for me sits under the hood: AI where it's strong, and deliberately deterministic where things have to be audit-proof. A few professors in our corner - real friends and companions, not name-dropping - who've been doing this for decades. Have a look, honest feedback beats applause any day ;-)
Sneak Preview_PLANSHIFT:
1 like • 4d
@Chetan Mishra Spot on, Chetan. Authority before the call is the whole game in governance. We're building that content engine in-house right now, so I feel the multiplier. Glad the site landed clean, and thanks for the thoughtful note.
1 like • 4d
@Chetan Mishra Couldn't agree more. In governance the call's won before it starts. They either see you as the clear thinker on the risk, or they don't. The content engine is just that proof, made repeatable. Good exchange, Chetan.
Where AI actually gets hard: when it has to hold up
Hey all, Bernhard from Hamburg. Almost 30 years as an entrepreneur (strategy, asset management), former CEO of an IT enterprise company. Today I build myself, daily with Claude Code, Codex, Lovable and Supabase. My focus is the part almost every AI builder skips: the intersection of AI, law and liability. Everyone ships automations. The real question comes right after: does it hold up in court, who's liable, is it auditable? That's where most people go quiet. My approach: compliance not as a slide deck, but in code. Deterministic, versioned, signed, provable. Built, not claimed. A legal obligation becomes a running system, not a concept in a drawer. Two paths, concretely: - Suite: ready-made compliance products. DeeplySecure (cybersecurity audit + EU NIS2), NoviGuard (early-warning under German StaRUG, protecting directors from personal liability). - Build: custom AI systems, same approach. An AI audit checks where AI actually holds up, a blueprint defines roles, data and responsibilities, then the live system goes into operation. Fixed price, handover included. Behind it sits a scientific advisory board across law, controlling, insurance and cybersecurity that signs off the methodology before any code is written. The kind of depth a single builder doesn't have. Why I'm here: this community builds instead of talking. If you're shipping AI for clients and you hit compliance, liability or auditability, come talk to me. That's my machine room. 👊
Where AI actually gets hard: when it has to hold up
1 like • 5d
@Lesetša Mutchinya Thanks Lesetša, appreciate the welcome. Yes, planshift.io. That intersection you describe is exactly what we build: AI systems for compliance and governance, made with Claude Code, with the cybersecurity and liability side (NIS2, GDPR, director duties) sitting right in the middle. Happy to trade notes anytime, especially on keeping AI automations auditable and defensible. That is the part most governance people feel but almost no tool addresses. If any of it is useful for your policy work, just say the word.
1-2 of 2
Bernhard Stephan
3
26points to level up
@bernhard-stephan-9521
KI-nativ & hands-on: Agentic Coding, deterministische KI-Guardrails (Reproduzierbarkeit, Audit), KI-Governance, Prompt-/Workflow-Design, Strategie.

Active 2h ago
Joined Jul 1, 2026
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