AI is no longer just responding — it’s acting.
One of the key messages from AI Summit 2025: artificial intelligence has stepped out of the experimental phase.
Agentic AI and Visual Language Models (VLMs) are now supporting real business processes. AI no longer just answers — it acts autonomously. This marks the beginning of a new era.
Small teams, big brands – SME success stories powered by AI
The SME section of the conference showed that even teams of 1–3 people can build powerful brands when they leverage AI effectively.
The key to success lies in simple yet powerful tools like:
Canva
modern language models
- video automation, which can reduce administrative workload by up to 20%.
Efficiency is driven by the RTO (Role–Task–Output) method: the AI knows exactly which role it’s playing (e.g. copywriter, web editor), what task it should perform, and what output is expected.
💡 Tip: Write a prompt for writing prompts!
Most mistakes happen due to a lack of context. The more specific your instructions, the more human-like and valuable the results will be.
Automation on a New Level: OCR + VLM + AI Agents
In a corporate invoice processing example, AI didn’t just interpret data — it reasoned.
The Visual Language Model (VLM) identified overdue payment deadlines, detected anomalies, and even proposed a new service opportunity: automatic fraud pattern detection.
This “snowball effect” shows how a small, well-defined problem can quickly scale into a solution that creates real business value.
Agentic AI in Practice: Where It Pays Off Fast
The fastest areas to automate include:
Procurement and inventory replenishment: agents forecast demand, initiate orders, and update ERP data.
Logistics: they optimize stock distribution, reducing “out of stock” situations.
Customer service: AI assistants integrated into Teams open tickets, schedule meetings, summarize, and automate workflows.
Leadership development: in VR environments, AI-driven avatars help train negotiation and conflict management skills.
Responsible Implementation: The Power of AI Governance
As agent-based systems grow more complex, strong governance frameworks become essential.
Sandbox testing, logging, and human approval are not bureaucratic hurdles — they are prerequisites for safe deployment.
Both the AI Act and ISO/IEC 42001 standards emphasize that compliance doesn’t slow innovation — it enables a stable, secure environment for it.
The Era of AI Overviews: How Search Traffic Is Changing
The global rollout of Google AI Overviews in 2025 (200+ countries, 40+ languages) is reshaping SEO. The focus is now on usefulness-first content: short, precise, contextual, and authentic.
At Grepton, every piece of content follows a clear structure:
What is it?
Why is it relevant now?
How do I get started?
First-party data is also gaining importance — it forms the foundation of brand trust.
Grepton Takeaway: AI Is Not a Tool, It’s a Teammate
For us, this year’s AI Summit confirmed that AI is not a separate project — it’s part of the team.
The formula is simple:
Start small,
Learn fast,
Build on your data.
Those who act early, gain an advantage — and we’re ready to bring that advantage to our clients by integrating AI into ERP and CRM workflows — securely, responsibly, and with measurable business impact.
How Should an Organization Begin Its AI Journey?
Implementing AI isn’t a one-off project — it’s a developmental journey, where trust plays a key role:
At Grepton, our experts are not just providers, but partners. We continuously monitor technological advances and translate them into our clients’ specific business context. Together, we define the first steps and stay involved throughout the scaling process. This is a long-term collaboration — where each step leads toward a new way of operating.
Step Into Practice — With AI Agents, Now
Curious to see where an AI agent could start working in your organization? Let’s talk.
We’ll show you how a small experiment can grow into a scalable solution that delivers real business results
👉More insights from the 2025 AI Summit
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