Automating entire processes, under your control.

In plain wordsWhat your teams do by hand, again and again, we automate.

The challenge

Your teams spend hours on tasks that follow rules but resist traditional automation: reading documents, reconciling data, answering recurring requests, preparing reports.

  • Manual re-entry between systems that do not talk to each other
  • Documents processed one by one
  • Delays and errors at every hand-off
  • Skilled people busy with low-value work

What we automate

  • Invoices and documents

    Extraction, classification and checks of invoices, contracts, forms and reports.

  • Automatic reporting

    Figures collected from several systems and consolidated, with a first draft of the commentary.

  • Customer request triage

    Requests classified, prioritised and routed as they arrive, in every language, with a draft reply.

  • Data entry between software

    Orders, records and updates carried from one system to another, without re-keying.

  • Compliance checks

    Expense claims, contracts or files checked against your rules, with every gap explained.

  • Complex processes

    Several specialised agents sharing the steps of a long process, with validation points for your teams.

Integrated, traced, supervised, reliable

Automation only creates value if it holds up in production and your teams trust it. These four points are part of every project.

  • Integration with your existing systems

    ERP, CRM, SAP, Salesforce, in-house tools and older systems, connected through their APIs or dedicated connectors when needed.

  • Traceability

    We define the actions to log and the level of detail according to connected systems and your security requirements. Data can stay in your environment.

  • Humans in the loop

    Who validates what is written down: sensitive decisions are validated by a person. The agent prepares, your teams decide.

  • Reliability in production

    Monitoring, alerts and maintenance. Each workflow has an owner and a recovery plan.

Examples of use cases

Typical processes we automate.

  • Supplier invoice processing

    Context
    Invoices arrive in many formats and are keyed in manually.
    Outcome
    Automatic extraction and matching with purchase orders. Your team only reviews exceptions.
  • Customer request triage

    Context
    A support team receives a high volume of emails in several languages.
    Outcome
    Requests classified, routed and drafted automatically, in the customer’s language.
  • Contract review

    Context
    Legal teams check the same clauses in every contract.
    Outcome
    Key clauses extracted and compared with your standards. Deviations are flagged for review.
  • Monthly reporting

    Context
    Analysts spend days consolidating data from several systems.
    Outcome
    Data collected and consolidated automatically, with a first draft of the commentary.

Expected results

  • Time freed for higher-value work
  • Shorter processing times
  • Fewer errors and less rework
  • Full traceability of every automated action

One process at a time, measured at each step

  1. 01

    Map the process

    With the people who run it: steps, systems, volumes, exceptions and where time is lost.

  2. 02

    Prototype on real cases

    The agent is tested on your own documents and requests, and compared with current results.

  3. 03

    Deploy with validation

    In production, sensitive steps stay under human validation until quality is proven.

  4. 04

    Monitor and extend

    We follow quality and incidents, then extend to the next process.

Included in every project

What comes with every project
  • Data

    Gathering, cleaning and structuring your data. It is the foundation of every AI project that works.

  • Security & compliance

    Data under your control, hosting on your premises possible, traceability and controlled access. The GDPR, Japan’s APPI and Hong Kong’s PDPO are taken into account, and we adapt to your own security requirements and audits.

  • Operations & quality evaluation

    Monitoring in production, measurement of the quality of the AI’s answers, guardrails, continuous improvement and cost control.

  • Training & handover

    Training for executives and teams in AI, transfer of skills, documentation.

Which process should we start with?

We will help you identify where automation brings the most value with the least risk.

Schedule a call