The automation adapts to your company. Not the other way round.

We design the solution around the process that already exists: systems, data, rules, people and exceptions. The aim is to fit the way the work actually happens, not force the business to reorganise itself around a tool.

Processreal
Rulesspecific
Systemsexisting

Custom does not mean starting from zero.

Every company has its own combination of applications, rules, data and ways of working. That is why two processes that look similar from the outside can still need different solutions.

We reuse components and patterns when they give us an advantage, and adapt what needs to be adapted for the automation to work in your environment. That lets us avoid rebuilding solved problems without turning the project into a generic template.

What sits behind an automation that actually works

A complete solution has to understand the work from beginning to end.

What it receives

Documents, data, events, forms, messages or information from other systems.

What it does with it

Transforms, checks, interprets, compares, classifies or decides according to the process rules.

What result it produces

Updates a system, generates a document, triggers an action, prepares a response, records information or leaves a case ready for review.

What happens when something is outside the normal path

It can ask for data, stop, retry, take a different route or hand the case to a person.

Which systems it works with

ERP, CRM, databases, email, storage, internal tools, APIs or any other component needed to complete the process.

How we know it works

We define the outcomes the solution needs to produce and test it against them before we call it finished.

What an automation can do

Depending on the case, a solution can:

The solution is built from the capabilities the work actually needs.

  • receive information from documents, forms, email, APIs, databases or applications;
  • transform formats and structures;
  • classify, extract and connect information;
  • apply rules and checks;
  • query several sources before continuing;
  • interpret content or context with AI;
  • wait for events, statuses or responses;
  • coordinate actions across several systems;
  • retry operations that fail temporarily;
  • ask for human intervention when an exception appears;
  • generate documents, records, notifications or structured outputs;
  • maintain process state and traceability when they matter.
Real process

Exceptions are part of the design.

Real processes contain incomplete documents, conflicting data, systems that sometimes fail to respond, decisions that need approval and cases that simply should not be resolved automatically.

A good automation knows what to do there too: wait, retry, ask for information, follow another route or prepare the case so a person can decide with the right context.

Delivery

We deliver a solution that is ready to work.

The delivery may include software, integrations, models, agents, configuration, tests, documentation and implementation. The mix changes from one project to another; the objective does not: the automation should be working inside the environment it was designed for.

Investment

We assess the investment against the problem and the outcome.

To assess an opportunity, we look at what work changes, how much it matters today, what errors or delays can be avoided and what new capacity the solution could open up.

When those quantities can be measured meaningfully, we use them. When they cannot, we assess the operational impact and the solution required to solve the problem. The proposal is for a specific implementation, not an open-ended block of hours.

Use

The automation is yours to keep using.

Activo Inteligente does not base its model on charging for each run. If the solution needs external services to operate — infrastructure, APIs, models, storage or others — those costs are shown separately so the operating cost is visible from the start.

If the process changes, the automation can change with it.

New systems, new rules, more volume or new functions may require an evolution. One of the advantages of a dedicated solution is that it can adapt when the real work changes.

Evolution

A dedicated solution can keep solving the same problem for years or evolve when the work changes.

Is there a process that deserves its own solution?

Tell us what happens today, what result you want and where the problem is. We will assess the best way to solve it.