Business services
Document processing automation
Automate the extraction, checking and integration of an incoming document flow, with a dedicated route for exceptions.
- Automation
- Document processing
- System integration
Artificial Intelligence & Automation
AI agents
Design agents able to chain actions inside the information system, with a bounded perimeter, supervision and human pick-up.
EN UNE PHRASE
A useful agent has a narrow perimeter and explicit rights.
THE PROBLEM
The situations that bring us in
- 01
The agents being trialled have no bounded perimeter of action.
- 02
No trace makes it possible to reconstruct the actions taken.
- 03
The error cases provide for no human pick-up.
- 04
The rights the agent uses go beyond the real need.
- 01THE PROBLEM
An automation need that goes beyond a textual answer and calls for actions inside the applications.
- 02WHAT AXENEO DOES
We bound the perimeter, define the tools and the rights granted, design the orchestration, the logging and the human pick-up points.
- 03THE RESULT
An agent that is bounded, traceable and supervised, each of whose actions is logged and reversible.
What we do
Design
- Bounding of the perimeter and of the permitted actions
- Tools, rights and least privilege
- Task orchestration and state management
- Control points and human pick-up
Operate
- Logging and traceability of the actions
- Supervision, alerting and stop thresholds
- Behaviour tests and degraded cases
- Widening of the perimeter in stages
The Artificial Intelligence & Automation method
This domain sits within the pillar’s overall method.
- 01
Identify
We start from the processes and from real points of friction. A use case with no business owner does not enter the portfolio.
- 02
Scope
Perimeter, data involved, success criteria, acceptable quality threshold and stopping conditions. Success is defined before the work starts.
- 03
Prototype
A short prototype, on real data, evaluated against a representative test set. The aim is to decide, not to convince.
- 04
Integrate
The use is plugged into the process and the existing applications. Without integration, adoption does not happen.
- 05
Industrialise
Operations, supervision, costs, scaling, version and model management. A use in production is a service.
- 06
Govern
A usage framework, quality control over time, traceability and accountabilities. That is what makes extending the scope possible.
USE CASES
Where we step in
Handling an incoming flow
Qualify a request, fetch the information from the applications, prepare the answer and leave the decision to a human.
Automated consistency checks
Walk data spread across several applications and report the gaps with their context.
Related case studies
Contact
AI agents: let’s talk about your context
We start from your process. A short conversation is enough to tell a use case that will hold in production from an experiment that will stop at the prototype.