Is your ERP ready for agentic AI?
Assess your ERP's agentic maturity across 4 dimensions and get your personalized priorities.
- A maturity score and radar chart across 4 dimensions: data, processes, technology, governance
- Your position compared to other companies (benchmark)
- Your top 3 priority levers to move forward
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100% free- Your maturity score and the 4-dimension radar chart
- Your position compared to other companies
- Your top 3 priority levers and how Axelor can help
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What is agentic maturity for an ERP?
Agentic maturity measures an ERP's ability to host AI agents that actually act on business data, not just answer questions. It's assessed across four dimensions: data quality and centralization, process automation, technology and integration, and governance (permissions, traceability, human validation). This agentic ERP diagnostic places your organization on a four-level scale and identifies your priorities for moving to the next stage.
The 4 dimensions assessed by the test
Each dimension is weighted according to its importance for agentic AI: data and processes are the key prerequisites, technology and governance form the framework around them.
Data
30%The raw material of AI. Centralized, complete, and reliable data is the number-one condition for an agent to act without risk.
Processes
30%Where AI takes action. End-to-end automated processes (quotes, orders, invoices, delivery) give the agent tasks it can act on.
Technology
20%How open the system is. Real-time access, API integration, and the ability to evolve without code widen the scope of what AI can do.
AI Governance
20%The trust framework. Strict permissions, action traceability, and human validation guarantee safe, well-controlled AI.
The 4 levels of agentic maturity
The test places your ERP on a progression scale, from a fragmented system to one that's ready for AI agents.
Fragmented 0-30%
Operations rely on scattered tools and manual data entry. This is the ideal starting point: every step toward structure brings an immediate gain. Priority: bring your data together and make it reliable.
Connected 31-55%
Foundations are in place, but automation and data use remain limited. Next step: automate processes to free up your teams' time.
Automated 56-80%
Processes are largely automated and data is centralized. You have what it takes to move to the next stage: letting AI anticipate, search, and act, and evolving your tool with no code.
Agentic 81-100%
Your system is mature and connected: you're ready for agentic ERP. The challenge is no longer catching up, but getting ahead by delegating low-value tasks to AI agents.
AI assistant or AI agent: what's the difference?
This is the key distinction behind agentic maturity. Many tools stop at the assistant stage; the real breakthrough is the agent.
It informs
Answers your questions and provides information based on your data. Useful, but the action stays entirely manual: you're the one executing it.
It acts
Executes tasks autonomously to achieve a goal: it enters data, triggers business rules, and moves your records forward, respecting permissions and under human validation.
The assistant informs, the agent acts.
How does this diagnostic work?
This diagnostic is based on 10 questions spread across the 4 dimensions, each weighted according to its importance for agentic AI. Your answers produce a score from 0 to 100, a radar chart across the 4 dimensions, a benchmark against other companies, and your top 3 priority levers. Your results are displayed immediately and are also sent to you by email so you can keep them. The test is free and takes about 3 minutes.
Frequently asked questions about agentic maturity
Everything you need to know about the test and preparing your ERP for agentic AI.
What is agentic maturity for an ERP?
How do I know if my ERP is ready for agentic AI?
What are the levels of agentic maturity?
What's the difference between an AI assistant and an AI agent in an ERP?
How can I improve my ERP's agentic maturity?
What keeps agentic AI safe within an ERP?
How long does the test take and is it free?