Agentic AI platform: build, orchestrate and automate with AI
One platform to build applications and business processes with AI, and to deploy agents that act directly inside your operations.
Built for complex organisations
Where processes cut across several departments, several tools and several levels of approval.
Large enterprises
Your processes run across departments, subsidiaries and applications that do not talk to each other. The platform orchestrates the whole chain and hands over to agents the coordination work that used to tie up entire teams.
- Cross-system orchestration
- Autonomous agents on high-volume processes
- Incremental rollout, one department at a time
- Full control over hosting
Public sector
Data sovereignty, an audit trail on every decision, and approval chains that are actually enforced. Axelor is a French software vendor, and you keep control of both the hosting and the source code.
- Sovereign solution from a French software vendor
- Hosting in a private cloud, on premises, or with a sovereign provider
- Open, auditable source code
- ISO 27001 certification
An engine executes. An agent decides.
Both cut down on manual work, but not in the same way. Everything hinges on the cases that fall outside the expected scenario, and those are exactly the ones that eat up your teams' time.
A rule written in advance
The outcome is predictable, the scope is fixed.
- Runs exactly what was programmed, and not one case more
- Stops as soon as the situation falls outside the scenario
- Needs a new rule for every business variant
- Cannot read a document or a request written in plain language
- Maintenance cost that grows with the number of rules
A goal to reach
The agent picks the path, you set the limits.
- Assesses the actual situation and chooses the right action
- Handles the cases nobody planned for instead of blocking the process
- Understands a request written in plain language
- Chains several steps across several modules, end to end
- Escalates to a human above the threshold you have set
From request to action, in four steps
It is this complete chain that sets an autonomous agent apart from a tool that only answers questions.
You ask
In plain English, the way you would ask a colleague. No rules to configure.
It reads the context
It queries your actual data, not a generic corpus.
It decides
It weighs the options and picks the best one, within the scope you have set.
It acts
It writes to the ERP. Above your threshold, it waits for human approval.
Describe it. AI builds it.
State what you need in plain language and AI generates a first version. You then take over in the Studio, without writing any code.
- Agent Studio: generation driven by your description
- Business objects, forms, fields, menus and dashboards
- Manual refinement in the Studio, property by property
- No development cycle and no redeployment
Create your business processes in plain language
Describe the process you have in mind and AI generates its structure. You then adjust it visually, rather than starting from a blank page.
- States, conditions and branches, including parallel branches with merge and synchronisation
- Sub-processes to break down complex chains of steps
- Human tasks and approvals sitting alongside the automated steps
- Process instances and their states monitored from the admin console
Agents that do more than answer
Give your agents access to the business tools and functions they need to assess a situation and trigger actions directly inside Axelor.
Tools, not just answers
Every agent comes with tools that map to real functions of the application.
The right agent for each need
Several specialised agents live side by side in the same interface. You call the one you need with a mention.
Agents inside your processes
An agent is not confined to a conversation: it takes ownership of a step inside a process.
AI that is genuinely collaborative
Work alongside your teams and your agents in a single space. Talk to colleagues, call on AI when you need it, and share the same working context.
A conversation worth keeping becomes a persistent space: you name it, you find it again, and it turns into the permanent home of a topic or a team.
- Conversation sharing and group discussions
- Three permission levels: view, take part, or query the agent
- Two modes, human to human or with AI, with instant switching
- A one-off question to AI without leaving the discussion
- Mentions to call in a person or an agent
- Notification when a user is invited or mentioned
- Persistent spaces, with an owner and participants
- Conversation summary on demand, including from a previous summary
The supplier is quoting an 11-day delay on the valves.
@Procurement Agent could you compare the certified alternatives?
3 suppliers compared on lead time, price and certification. Only one can hold the date. Order drafted, waiting for approval.
Supplier delay identified, certified alternative selected, replacement order awaiting approval from the procurement manager.
AI that knows your business context
Query AI straight from your data. It works in the context of the business record in front of you, not in a vacuum.
The context of the open record
From a sales order, a product or a customer, AI reasons on that specific record and on the data attached to it.
The history of your exchanges
Conversations can be attached to a business record and found again from it. The context does not get lost from one week to the next.
Your knowledge bases
Procedures, reference data and internal documents feed the answers, alongside your operational data.
AI that acts safely
Agents plug into Axelor's permission model. A user cannot get through AI what the application denies them.
- The user's read and write permissions apply to the agent
- Access to agents controlled by user, group and role
- Requests are analysed before execution, with optional confirmation on sensitive actions
- Axelor does not use your data to train any model, and you choose the provider
The full power of the Axelor platform
The building blocks below share the same data model and the same permission system.
Built into the ERP, or deployed on its own
All four suites share the same agentic layer. What changes is the deployment model.
Axelor Service Suite
The ERP for consulting, engineering and field service. Agentic capabilities are built in.
Built into the ERP Industry ERPAxelor Build Suite
The ERP for construction and civil engineering. Agentic capabilities are built in.
Built into the ERP Industry ERPAxelor Factory Suite
The ERP for manufacturing and production. Agentic capabilities are built in.
Built into the ERPAxelor Agent Suite
The complete agentic platform. It can sit on top of an Axelor ERP, or be deployed on its own above your existing information system.
Standalone platformIt adds to your information system, it does not replace it
You do not have to change ERP or switch off your business applications to deploy agents.
Open API
A documented REST API exposes the platform's objects and actions. Your existing applications trigger agents, and agents write back to them.
Application connectors
Accounting, payroll, CRM, e-commerce, supplier EDI, industrial sensors: the flows connect without heavy development.
Alongside the Axelor ERP
If you already run the Axelor ERP, the platform shares its data model and its permissions directly. There is no bridge to build.
How to deploy agents without a transformation programme
The most common reason this kind of platform fails is a project that is too broad and launched all at once. The method below works one scope at a time.
Pick a first process
High volume, stable rules, limited risk. The aim of this first step is to measure a real gain, not to cover every case.
Set the agent's scope
Define the tools it can use, the data it can reach and the threshold above which a decision goes to a human.
Observe it in real conditions
Run the agent with approval on every action, review its decisions, then raise the autonomy threshold step by step once confidence is established.
Extend to neighbouring processes
Reuse the same foundation on adjacent processes, one department at a time. Agents work together rather than in isolation.
The vocabulary of agentic AI, in plain terms
These terms get used a lot and often mean very different things. Here is what they mean at Axelor.
Agentic platform
An environment for building applications and processes from a plain-language description, then deploying autonomous agents that carry out tasks and take decisions within a defined scope.
Autonomous AI agent
Software that pursues a goal rather than a list of instructions. It assesses the situation, chooses the action and carries it out on your data, without a human triggering each step.
Process orchestration
Coordinating the steps, roles and business rules of a process that runs across several departments and several applications, with visibility on progress and ownership.
No-Code
The ability to build and change an application without writing code: screens, fields, menus and rules are all set through configuration. At Axelor it is also the layer that makes what AI produced visible and editable.
Multi-LLM
The ability to run the platform on different language models, hosted in the cloud or on your own servers, without depending on a single provider.
Human approval threshold
A limit you set for each agent, above which a decision is no longer carried out automatically but submitted to a person. It can be based on an amount, a criticality level or a type of action.
Frequently asked questions about Agent Suite
What is Axelor Agent Suite?
What is an agentic AI platform?
How does an agent actually act inside the application?
What does collaborative AI mean?
Does AI know the context of my data?
How do I get the gist of a long conversation?
Can AI be used to bypass application permissions?
Can a process be created without building it by hand?
Do I need the Axelor ERP to use Agent Suite?
Do I need developers to create agents or screens?
Is my data used to train a model?
What does a rollout look like?
How is this different from Axelor's agentic ERP?
See Agent Suite on your own processes
Our experts build an application and an agent in front of you, on a case taken from your own organisation.