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

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.
A complete solution has to understand the work from beginning to end.
Documents, data, events, forms, messages or information from other systems.
Transforms, checks, interprets, compares, classifies or decides according to the process rules.
Updates a system, generates a document, triggers an action, prepares a response, records information or leaves a case ready for review.
It can ask for data, stop, retry, take a different route or hand the case to a person.
ERP, CRM, databases, email, storage, internal tools, APIs or any other component needed to complete the process.
We define the outcomes the solution needs to produce and test it against them before we call it finished.
Depending on the case, a solution can:
The solution is built from the capabilities the work actually needs.
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.

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.
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.
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.
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.
A dedicated solution can keep solving the same problem for years or evolve when the work changes.
Tell us what happens today, what result you want and where the problem is. We will assess the best way to solve it.