Automate your business processes without losing control

Are your teams still copying information, moving files, chasing colleagues, and manually checking that every step was completed?

We turn those repetitive operations into structured workflows, connected to your tools and adapted to your real business rules. Predictable tasks run automatically. Important decisions stay with your teams.

Operational systems designed for transport, retail, services, and healthcare.

You may already have the right tools — but not the right process

The problem is not always a lack of software. It often comes from the invisible work that sits between your tools.

A request arrives by email. Someone copies it into Excel. Another person checks the data. A document is generated by hand. The field team gets instructions in a chat app. The final status has to be re-entered in another system.

Each step looks short. Added up over a week, these manipulations slow the business down, multiply errors, and make the process dependent on the people who know it by heart.

We step in when you recognise one or more of these situations:

  • the same information is entered in several tools;
  • a critical activity depends on an Excel file that has become hard to maintain;
  • teams manually chase clients, suppliers, or colleagues;
  • approvals circulate by email or chat;
  • documents are created one by one from data that already exists;
  • tracking a request means asking several people;
  • one absence is enough to block a process;
  • growth brings almost as much extra admin work.

What is business process automation?

Business process automation means organising a sequence of actions so that information flows, rules are applied, and predictable tasks run without unnecessary intervention.

It is not simply adding a form or plugging in a generic automation tool. A reliable process must also handle access rights, exceptions, approvals, errors, history, and situations that need a human decision.

Depending on your need, we can automate:

  • receiving and qualifying requests;
  • creating files, tasks, or bookings;
  • assigning a mission according to defined rules;
  • reminders, notifications, and approval requests;
  • generating contracts, reports, invoices, or regulatory documents;
  • synchronising information across several systems;
  • end-to-end status tracking;
  • preparing operational indicators;
  • archiving and activity traceability.

Artificial intelligence can help when it adds concrete value — for example classifying a request or extracting information from a document. It is never added for its own sake.

Automations adapted to your operations

Administration and document management

Centralise information already collected, generate the expected documents, and keep an accessible history. Your teams should not have to retype the same data five times to produce a complete file.

Operations and planning

Structure the path from request to execution: create a mission, assign it, prepare it, track field work, validate, and close. Every stakeholder sees what they must do and the real status of the file.

Customer journey and commercial follow-up

Move qualified requests, appointments, required documents, and follow-ups forward without losing the personalisation your customer relationship needs.

Billing and controls

Prepare billing from work that was actually completed, apply your pricing rules, and keep human validation at sensitive steps.

Compliance and business obligations

Turn your internal or regulatory rules into repeatable checks. Data already captured can feed the documents, registers, and transmissions you need — without creating a second administrative workload.

Our method: start from the field, not from the tool

1. Understand the current process

We map triggers, people involved, data used, existing tools, and exceptions. This analysis surfaces time losses, double entry, and dependencies that never appear in any procedure.

2. Choose what should be automated

Not everything deserves automation. We separate repetitive tasks, stable rules, necessary approvals, and decisions that must stay human. Then we define a first version centred on operational value.

3. Build and connect the workflow

We develop the interfaces, automations, and integrations needed around your current software. When existing tools can stay, we use them. When something is missing, we build only the useful piece.

4. Test real cases and exceptions

A process is only reliable if it also works when data is incomplete, an external service fails, or a situation leaves the normal path. We test with your teams before a progressive rollout.

5. Monitor and improve

After go-live, we watch for blockers, fix friction points, and evolve the system with your activity. The goal is not a frozen automation, but a process you can actually run.

What you get

  • a clear map of the process and its friction points;
  • prioritised recommendations by value and feasibility;
  • a workflow adapted to your business rules;
  • the connections needed with your existing software;
  • clearly defined roles, approvals, and activity trails;
  • tests based on operational scenarios;
  • documentation useful for your teams;
  • follow-up after deployment.

Processes already turned into operational systems

TaxiGer — From trip sheets to regulatory obligations

We designed a platform that centralises drivers, vehicles, bookings, trips, payments, and documents for a taxi company. Information captured during operations automatically feeds administrative steps and required transmissions, while keeping actions that must be done by the driver or operator.

Read the TaxiGer case

IHPO and Electro Dépôt — From paper booking to a connected flow

In-store terminals let customers enter their delivery request. Teams validate it and the data is sent to the existing logistics system — without re-keying. The journey reduces manual work and gives stores central visibility.

Read the retail cases

Institut Jules Bordet — Reducing re-entry between hospital systems

Several internal tools integrated radiotherapy systems, streamlined autonomous patient check-in, and created a shared nuclear medicine workflow. In this critical environment, automation was built around validations, user profiles, and service continuity.

Read the Institut Jules Bordet case

MonPIF — Turning frameworks into pedagogical workflows

The educational frameworks of the Fédération Wallonie-Bruxelles were available as digital documents, but their content was not directly usable by other systems. We turned it into a structured base that supports search by subject, level, and competence, preparation of aligned activities, and use of the same data from ChatGPT.

Read the MonPIF case

What we do not automate blindly

Useful automation does not try to remove every human intervention. It removes low-value manipulation and gives teams the information they need to decide.

We keep human controls when the situation involves an exception, a financial commitment, a regulatory validation, a sensitive relationship, or a business judgement call. We also plan recovery mechanisms when data is missing or an external service is unavailable.

Automation, integration, or custom business application?

  • You know the process, but the steps are still manual: start with business process automation.
  • The steps already live in several systems that do not talk to each other: explore our systems and API integration service.
  • Your activity needs an interface, roles, and workflows no standard tool covers: explore custom business applications.

Frequently asked questions about business process automation

Which processes can an SME automate?

The best candidates are usually repetitive, based on identifiable rules, and fed by data that already exists. That can mean bookings, assignments, approvals, follow-ups, document generation, billing, reporting, or synchronisation between systems. A discovery call helps identify the processes with the strongest potential.

Do we need to replace our current software?

Not necessarily. We first look to use and connect the tools your teams already work with. A new application is only proposed when existing software truly prevents the workflow you need.

What is the difference between digitisation and automation?

Digitisation often replaces paper with a digital interface. Automation goes further: the information entered triggers the next steps, applies rules, feeds other systems, and flags exceptions without another manual action every time.

Is artificial intelligence required?

No. Many gains come from clear business rules, solid integrations, and a well-designed workflow. We use AI only when it concretely improves a step, with controls matched to the risk level.

How long does it take to automate a process?

It depends on the number of steps, users, tools to connect, and exceptions to handle. We start by scoping a useful first version so the process can be tested quickly before expanding the scope.

How do you handle security and access?

We define roles, permissions, accessible data, and traceable actions based on context. Security needs are built in from the design phase, especially when the process handles sensitive or regulated information.

Your next efficiency gain may sit in a process your teams repeat every day

Show us an operation that is slow, fragmented, or too dependent on manual work. We will help identify what can be simplified, connected, and automated reliably.

Book a discovery call

A first conversation focused on your process, tools, and priorities.