Status update
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Admicom (ADMCM) Status update summary

Event summary combining transcript, slides, and related documents.

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Status update summary

2 Mar, 2026

Market context and AI disruption

  • Recent AI advancements, such as agentic tools from Anthropic, have caused turbulence and share price declines in SaaS markets, with a sharp selloff in software stocks in early 2026.

  • The "SaaSpocalypse" centers on AI agents automating workflows, reducing the need for traditional SaaS UI and seat licenses.

  • Many SaaS providers with horizontal, generic solutions are at risk, especially those relying on public data and simple automation.

  • Vertical SaaS with deep industry integration, proprietary data, and compliance focus are better positioned to withstand disruption.

  • Construction industry complexity and regulatory requirements create high barriers for generic AI solutions.

Strategic positioning and business model

  • Focus on system of record platforms with embedded AI agentic capabilities, leveraging proprietary and customer-specific data.

  • Monetization is based on business value, project-based, revenue-based, and user-based models, not broad seat-based pricing.

  • Average software MRR is €1,000, making in-house or new AI-native solutions less economically attractive for customers.

  • Ecosystem approach includes third-party data and services, enhancing platform value and network effects.

  • Highly fragmented software landscape and network effects create high barriers to entry for new AI agent players.

AI integration and operational leverage

  • AI agents are embedded in workflows to automate tasks, improve efficiency, and enhance customer experience and product quality.

  • Internal adoption of AI spans software development, product management, and business services, driving margin improvements.

  • Significant investment (€2.5 million) in construction-specific AI development aims to boost operational leverage and profitability.

  • AI-enabled workflows support business-critical processes, with human oversight and controls against errors.

  • AI is seen as complementary, increasing system usage rather than replacing core platforms.

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