Event Details
AI is no longer something procurement teams talk about as a distant possibility. It is already shaping how documents are reviewed, how supplier information is handled, and how financial choices are made.
This in-person session focuses on what comes next: agentic AI: autonomous systems that can perceive data, reason through rules, and execute defined procurement workflows while remaining under human control.
While our previous event on Modern Procurement focused on process design more broadly, this discussion moves directly to the AI layer itself.
Rather than simply producing text, AI agents can:
- Detect anomalies in invoices
- Monitor contract compliance
- Compare supplier terms
- Prepare structured actions for approval
We will explore how generative AI intelligent procurement software evolves into agent-based execution layers that integrate with ERP systems, support structured decision-making, and reduce manual workload without increasing risk.
The focus is practical. The conversation is direct. The format is intentionally offline to allow deeper discussion and open exchange.
Why Attend?
This session is particularly relevant for professionals who:
- Lead procurement modernization or digital transformation initiatives
- Evaluate artificial intelligence in procurement adoption
- Assess ROI and governance risks of AI-driven systems
- Oversee vendor contracts, compliance, and supplier risk
- Need to explain AI investment decisions at executive or board level
If AI is already part of your internal discussions or being pushed from leadership, this event provides a structured framework for evaluating whether agentic execution is your logical next step.
What We’ll Cover
During the session, Digicode experts will address:
- What is generative AI and why agentic AI is different
- The distinction between automation, generative AI, and AI agents
- How agentic systems execute procurement workflows (not just assist them)
- Practical use cases: invoice audit, supplier search, contract compliance
- Human-in-the-loop governance and “glass box” oversight models
- Where AI adoption fails and how to avoid implementation risk
The emphasis is on implementation logic and operational design, not conceptual enthusiasm.
We’ll reflect what we see across procurement leadership today: curiosity mixed with skepticism. The goal is clarity.
Related Digicode Expertise
For additional background ahead of the event, these resources may be useful to explore the topic deeper:
Let’s Connect in Bratislava
If your organization is evaluating AI in procurement, exploring generative AI tools, or defining how autonomous AI agents fit into supplier and contract workflows, we invite you to join us in Bratislava.
FAQ
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What is generative AI in procurement, and how is it different from agentic AI?
Generative AI in procurement primarily produces outputs such as summaries, emails, or document drafts. Agentic AI goes further. It follows a structured loop: analyze data, reason through defined rules, and execute workflow steps under human supervision. In procurement environments, this means moving from assistance to action while maintaining governance, approval checkpoints, and full audit visibility.
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How can artificial intelligence in procurement improve operational efficiency?
Artificial intelligence in procurement reduces manual workload in areas such as invoice processing, contract analysis, supplier communication, and spend categorization. By structuring unorganized data and highlighting risk patterns, AI supports faster approvals and clearer financial oversight. The goal is not replacing procurement professionals, but enabling them to focus on strategic decisions instead of repetitive administrative tasks.
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How does agentic AI integrate with existing ERP and financial systems?
AI in procurement does not replace ERP systems. It operates as an intelligent execution layer above them. Agentic systems ingest structured and unstructured data, apply business logic, and trigger actions within approval workflows. Integration is typically API-based and does not require system replacement. Human checkpoints remain embedded before any legally binding action is finalized.
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Is this event suitable for organizations early in AI adoption?
Yes. The session begins by explaining what is generative AI in business terms before moving into applied procurement use cases. It is designed for decision-makers evaluating AI for the first time as well as teams refining existing initiatives. The focus is clarity, structure, and realistic deployment rather than advanced technical theory.
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What makes this AI in procurement event different from others?
Many events focus on high-level AI trends. This session concentrates on execution. It addresses how generative AI intelligent procurement software evolves into agent-based workflow systems, how compliance and audit transparency are maintained, and where ROI is realistically achievable. The emphasis is operational depth, not marketing narrative.