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Artificial Intelligence & Automation

Intelligent automation

Identify the processes that can genuinely be automated, stabilise them, then automate what should be — exception cases included.

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EN UNE PHRASE

Automating an unstable process means industrialising a defect.

THE PROBLEM

The situations that bring us in

  • 01

    Candidate processes are chosen by availability, not by volume or value.

  • 02

    Exceptions account for a share of the volume that the automation does not handle.

  • 03

    Automations built outside the information system break at every application change.

  • 04

    The gain is not measured: the manual process carries on in parallel.

  1. 01THE PROBLEM

    Costly repetitive tasks, but processes too unstable or too poorly documented to be automated as they stand.

  2. 02WHAT AXENEO DOES

    Mapping and measurement of the volumes, stabilisation of the process, choice of automation mode, explicit handling of exceptions and integration with the information system.

  3. 03THE RESULT

    Automations that hold over time, whose perimeter and exceptions are documented, and whose gain is measured.

What we do

Select & stabilise

  • Process mapping and measurement of the volumes
  • Selection criteria: volume, variability, value, risk
  • Simplification and stabilisation first
  • Analysis of the exceptions and of how much they really weigh

Automate & measure

  • Choice of mode: workflow, API, batch processing, AI
  • Integration with the business applications and with the ERP
  • Handling of exceptions and retries
  • Gain indicators and post-deployment tracking

The Artificial Intelligence & Automation method

This domain sits within the pillar’s overall method.
  1. 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.

  2. 02

    Scope

    Perimeter, data involved, success criteria, acceptable quality threshold and stopping conditions. Success is defined before the work starts.

  3. 03

    Prototype

    A short prototype, on real data, evaluated against a representative test set. The aim is to decide, not to convince.

  4. 04

    Integrate

    The use is plugged into the process and the existing applications. Without integration, adoption does not happen.

  5. 05

    Industrialise

    Operations, supervision, costs, scaling, version and model management. A use in production is a service.

  6. 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 a document flow

    Automated extraction, checking and integration, with a dedicated route for the cases that do not conform.

  • Reconciliation and checks

    Automate recurring checks between applications and report only the gaps.

Related case studies

All case studies

Related expertise

Contact

Intelligent automation: 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.

Qualify a use caseBack to Artificial Intelligence & Automation