Decision Makers Roundtable – AI Readiness
Decision Makers Roundtable – AI Readiness
From Copilot Hype to AI Readiness: What It Actually Takes to Deploy AI in Production
An exclusive, invite-only (max 10 seats) roundtable for senior decision-makers leading the transition from AI experimentation to operational deployment.
Across industries, organizations are no longer asking whether AI matters, they are asking why so few AI initiatives create lasting operational impact.
Copilots are being launched, pilots are running, and experimentation is widespread. Yet only a small number of organizations successfully embed AI into workflows, scale adoption across teams, and translate technical capability into measurable business value.
This roundtable is designed to explore exactly that challenge.
What This Roundtable Is About
This is not a traditional AI event.
No product demos. No surface-level inspiration. No inflated promises.
Instead, we are bringing together a curated group of leaders for an honest, practical, and high-trust discussion around one central question:
What does it actually take to become AI-ready?
The conversation is grounded in real-world experience deploying AI systems into production environments and focuses on the operational, organizational, and governance challenges that emerge between prototype and scaled impact.
Topics We’ll Explore
Why most copilots fail after launch
What “AI readiness” actually requires across organization, technology, and governance
Why data quality, retrieval systems, and operational infrastructure are often bigger bottlenecks than models themselves
Why AI adoption is fundamentally a workflow and UX challenge, not just a technical one
How organizations can evaluate whether AI systems are truly creating value
What differentiates organizations successfully scaling AI from those stuck in experimentation
Format
A closed-door roundtable with 10–15 carefully selected participants, hosted by Hasna Najmi with support from the Merantix Momentum team.
The format is intentionally designed for open and experience-driven discussion:
Short expert input grounded in deployment realities
Moderated peer discussion
No recordings, no presentations
Confidential, practical, and operator-focused exchange
Who Should Join
Heads of AI, Data, and Digital
CTOs and CIOs
Innovation and Transformation Leaders
Public sector digital leaders
Enterprise operators across industries including healthcare, manufacturing, energy, and government
Date & Location
11 June 2026
Merantix AI Campus, Berlin
Agenda
17:00 – 17:20
Arrival, Coffee & Networking
17:20 – 17:35
Opening Remarks & Framing
The current state of enterprise AI deployment and the shift from experimentation to operational readiness
17:35 – 17:55
Expert Input: Lessons from Deploying AI in Production
Key learnings from enterprise AI systems operating in real-world environments
17:55 – 18:50
Moderated Roundtable Discussion
Peer exchange on organizational readiness, adoption barriers, governance, infrastructure, and operational integration
18:50 – 19:05
Key Takeaways & Closing Reflections
19:05 – 19:30
Networking & 1:1 Conversations
Why Join
Because most organizations do not need another AI demo.
They need a clearer understanding of why AI initiatives fail after the pilot phase — and what it actually takes to operationalize AI successfully across the enterprise.
Your Hosts
Hasna Najmi
Value Engineering Team Lead & Senior AI Solutions Architect, Merantix Momentum
Hasna Najmi leads AI solution design and deployment initiatives at Merantix Momentum, focusing on how organizations move from AI experimentation into operational systems that create measurable impact. Her work spans enterprise, healthcare, public sector, and industrial environments, where she helps organizations design, deploy, and scale AI systems in production.
Over the past years, Hasna has led and delivered AI initiatives across areas including copilots, retrieval systems, AI governance, workflow automation, and agentic AI architectures — with a strong focus on adoption, operational integration, and real-world usability beyond the demo phase.
She regularly facilitates executive workshops and AI transformation sessions for senior leaders, including collaborations with ESMT Berlin, public-sector institutions, and enterprise operators navigating large-scale AI adoption challenges.
Hasna has also represented Merantix Momentum in international conversations around trustworthy AI and deepfake detection, including engagements with Europol Innovation Lab and broader European AI governance stakeholders. Her recent work on synthetic media and AI forensics focuses on explainable multi-agent systems for deepfake investigation and information integrity.
Her perspective combines technical depth with operational pragmatism, particularly around the question many organizations are now facing:
How do you move from promising AI prototypes to systems that actually work in practice?
Nils Weigeldt
Lead Public Sector AI, Merantix Momentum
Nils Weigeldt leads public-sector AI initiatives at Merantix Momentum, focusing on the intersection of AI, governance, digital sovereignty, and large-scale operational transformation in government and regulated environments.
His work centers on helping public institutions move beyond isolated digitization projects toward scalable AI-enabled operating models — particularly in areas such as administrative automation, AI governance, regulatory compliance, and agentic AI systems for complex public-sector workflows.
Nils works closely with public-sector organizations, policy stakeholders, and enterprise partners on the practical deployment of AI systems that must operate under real-world regulatory, legal, and organizational constraints. His recent work includes AI-enabled systems for administrative process automation, legal reasoning workflows, and AI governance implementation aligned with emerging EU regulation and the AI Act.
Together with Merantix Momentum and ecosystem partners including PwC, he has helped establish hands-on formats such as the AI Innovation Space in Berlin, where public-sector leaders can evaluate operational AI systems in realistic governance and workflow settings.
Alongside his work in public-sector transformation, Nils has also contributed to initiatives around deepfake detection, synthetic media forensics, and trustworthy AI systems, including presentations at Europol Industry & Research Days focused on explainable AI-driven forensic workflows.
His work is driven by a core question increasingly shaping governments and institutions across Europe:
How can AI systems become operational, trustworthy, and governable at scale, not just technically possible?