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More Than Automation – How Agentic AI Is Changing the Rules of the ERP Landscape

Written by SOA People | September 18, 2026

AI is no longer a strategic option; it is a question of foundation. Companies that want to realise value from agentic AI quickly discover that success depends far less on the AI itself and far more on the platform it is built on.

For many mid-sized companies, that realisation comes at an inconvenient time. Their ERP system is 10, 15, perhaps even 20 years old. It works. It runs the business every day. But beneath the surface lie layers upon layers of customisations, integrations, and partial fixes, accumulated over decades to keep the business moving while the platform itself stood still. That approach was sustainable as long as the ERP primarily served as a system of record. In an era of agentic AI, it becomes a significant constraint.

The good news is that the right foundation is no longer reserved for the largest enterprises. This represents a bigger shift in the ERP market than most people have noticed, and it is worth understanding, regardless of where you are in your decision-making process.

What is agentic AI?

The term agentic comes from the English word agentic, which is used in psychology to describe human agency. In psychology, agentic refers to an individual who acts purposefully, takes initiative, and actively shapes their surroundings through independent decisions.

In practice, this means that agentic AI plans, maintains an overview of its ongoing work, remembers past events, and can select the right tools.

  

What agentic AI requires

Agentic AI is not a feature that can simply be added on top of an existing system. It is the result of the infrastructure underneath. For AI agents to operate reliably, plan, act, and make decisions autonomously, four conditions must be met:

  • Structured data: Clean, consistent, and readable data across the organisation.
  • Real-time access: Live data, not yesterday’s extract.
  • A standardised process model: Predictable, repeatable, and clearly defined workflows.
  • An upgradeable core: A platform that can evolve without custom solutions breaking down.

If just one of these conditions is not met, value creation through AI cannot be realised. An agent is only as good as the data and processes it is built on. Consider an example: if your CFO asked what a 10% drop in the US dollar would mean for next quarter’s earnings, how long would it take your current systems and resources to deliver a reliable answer? The speed and quality of that answer is a direct reflection of your foundation.

A platform that has evolved with the market

For 30 years, SAP was reserved for the world’s largest corporations. This has fundamentally changed.

SAP Cloud ERP brings together SAP’s core capabilities from global industry solutions in a cloud-based model that is now also available to organisations with as few as 200 employees. Key elements of this include:

  • Built-in best practices: Documented, industry-standardised processes are embedded directly in the platform, reducing implementation time and cost.
  • A pre-built process landscape: Organisations can be operational from day one.
  • Predictable, subscription-based pricing: A clear cost model with no hidden surprises, replacing the unpredictable total cost of ownership associated with legacy on-premise solutions.

Three choices – and one clear direction

Organisations operating on ageing ERP platforms face a critical choice. A choice that has only three paths forward:

  1. Move existing complexity onto a modern platform: Significant investment aimed at replicating the current solution on a modern platform
  2. Postpone the decision: Accept another year of growing technical and process debt without improving an AI-ready foundation
  3. Migrate to SAP Cloud ERP: Adopt a future-proof foundation with the framework for continuous value creation through agent-based AI

Ready to explore your options?

SOA People partners with organisations at every stage of this journey, from initial assessment and evaluation to full implementation. Whether you are evaluating your current platform, planning a migration, or trying to understand what AI readiness means in practice for your business, we are ready for a dialogue.

Contact our team to discuss where you stand and what the right next step looks like for your organisation.