We design and implement automations that take care of specific tasks and processes inside your company. They work with your systems, your data and your rules, so the result fits the way the business actually operates.
Primary CTA: Request an assessment Secondary CTA: See what we automate
Tell us what you want to solve. We will turn it into a working solution.
Automation creates capacity. Sometimes that means giving hours back to the team. Sometimes it means keeping controls running consistently instead of late or irregularly. And sometimes it makes work possible that was never worth doing manually in the first place.
Copying information, checking fields, classifying incoming items, chasing statuses, recording outcomes or coordinating steps between systems can absorb a huge amount of attention. When an automation takes that work on, the team can focus on the cases that really need judgement, conversation or a decision.
Some tasks are valuable because they are consistent: checking whether a field is missing, finding a discrepancy, watching for a change, comparing sources or following a case until it is closed. An automation can keep that work moving without depending on memory, availability or workload peaks.
Review more cases. Research more information. Monitor more conditions. Process more volume. Follow situations that used to fall outside the team's practical reach. Automation can expand what a company is able to do with the resources it already has.
You tell us what you want to solve and we take care of the rest: design, integrations, logic, testing and implementation.
The solution may combine software, AI, agents, storage, human review or dedicated infrastructure. The technology changes with the problem; the objective does not: the agreed work should be solved inside your real environment.
How we workDepending on the process, it can receive information, understand it, check it, coordinate several systems and act when the right conditions are met.
Documents, forms, emails, records, events, API data or information from other systems.
Extract data, classify content, compare information, apply rules, identify relationships or detect that something is missing.
Query several sources, wait for a response, retry an operation, continue when a status changes or ask a person to step in when an exception appears.
Create or update records, generate documents, trigger a task, produce an output or carry out an action in the right system.
Know what has happened, what still needs to happen and where each case is, even when a process lasts for hours or days.
The automation is implemented for the company to use on an ongoing basis. If it relies on external services — cloud infrastructure, APIs or third-party models, for example — those operating costs are identified separately.
Different problems, one question: what work should stop depending on constant manual intervention.
Read, classify, extract, compare and record information that currently requires someone to open documents or messages one by one.
Query, move or synchronise information across ERP, CRM, e-commerce, email, storage, ticketing and other applications.
Check rules, find inconsistencies, detect duplicates, monitor changes and separate the cases that need attention.
Check statuses repeatedly and act when something relevant happens: a change, a reply, an incident or a specific condition.
Bring scattered information together, compare alternatives, classify cases, prioritise work and prepare decisions with enough context.
Coordinate sequences that cross several systems and include waits, conditions, retries, exceptions and human involvement.
Some processes cannot be solved with a fixed rule alone. A document may arrive in different formats, a message may be ambiguous or a decision may depend on information spread across several sources.
At those points, AI can interpret, classify, extract, connect, research or propose. Software handles rules, permissions, process state and actions on real systems. And when a person needs to step in, the automation can bring them exactly the context they need.
Highlight: The ability to understand when needed. Control over what actually gets executed.
Documents, language, context, signals.
Classifies, extracts, connects, researches.
Rules, permissions, state and real actions.
A process rigorous enough to build on facts, without turning every project into bureaucracy.
We start with the work happening today and the result you want instead.
We look at the scope, the systems involved and the scale of the problem to work out what kind of solution makes sense.
We review the data, systems, constraints and details that can change the design.
We build or adapt the components the solution needs and test it with cases that represent the real process.
We connect it to the company's environment, validate how it behaves and leave it ready to work.
An off-the-shelf tool can be exactly right when the market already solves the problem well. Custom automation becomes more useful when the work depends on your own combination of processes, systems, rules or exceptions.
It is usually worth looking at when:
If the problem is small or an existing tool already solves it well, there may be no reason to build something custom.
You do not need to know the technology before talking to us; you need a problem worth solving.
No. Some processes are better solved with software and clear rules. AI comes in when it adds something specific: understanding documents, interpreting language, working with context, researching information or handling less structured situations.
In many cases, yes. We can integrate APIs, databases, email, storage and business applications whenever there is a technically viable way to connect them. We check that when we assess the case.
A working automation for the agreed environment, with the integrations, testing and documentation the project needs. The point is to make the process work from end to end, rather than hand over disconnected pieces for you to assemble afterwards.
Activo Inteligente does not charge per run. If the solution consumes third-party services — cloud, APIs, models or others — those costs are separated so you can see what belongs to implementation and what belongs to operation.
The automation can evolve. If systems, rules or what you need it to do changes, we assess the adaptation required.
It depends on the problem, scope, integrations and implementation complexity. We understand the case first, then prepare a proposal for that specific solution.
If different processes share systems, knowledge, permissions and integrations, there comes a point where it makes sense to stop rebuilding the same infrastructure around every solution.
ARGOS is designed for that situation: a shared foundation on which automations and agents can operate across a complex organisation.
Explain what happens today and what you would like to happen instead. We will assess whether a dedicated automation makes sense and how to approach it.
