Reunião de 30 minutos com o Rui Martins. Sem custos, sem compromisso e sem necessidade de preparar nada.
Process and outcome
We define the work that starts, the steps required and what counts as complete.
AI AGENTS FOR OPERATIONS
Operations teams lose time moving information between systems, checking status and resolving exceptions by hand. We build AI agents that coordinate routine work, connect the right data and escalate what needs judgement.
WHERE OPERATIONS LOSE TIME
Information arrives by email, form, PDF or spreadsheet. Someone interprets the request, checks fields, consults another system, makes a decision and re-enters the same data elsewhere.
Traditional automation works well when every case follows the same rule. It becomes limited when documents vary, context changes or someone must choose the next step.
An AI agent can interpret less structured information, use tools and follow a sequence of work. Rules still define limits, approvals and cases that pass to a person.
The goal is not to automate everything. It is to remove load where the process is frequent, the result is verifiable and the team adds no value by repeating the same steps.
The same data is read, checked and entered several times, creating avoidable delays and errors.
The agent handles the standard path and gathers the information needed when a decision requires human intervention.
WHAT AN AI AGENT CAN DO
An agent is not a generic product. It is a function built on a real process, with defined inputs, decisions, tools, expected outcome and owner.
Interprets messages, forms or files, identifies the request type and routes it to the right workflow.
Reads documents, organises fields, compares information against criteria and flags what is incomplete or inconsistent.
Creates or updates records in authorised applications, avoiding repeated manual entry and keeping an action history.
Brings together data from different sources, applies calculation rules and prepares a recurring view for team validation.
Tracks statuses, deadlines or conditions and calls a person when it finds a deviation, risk or decision outside the defined autonomy.
Uses different tools and agents to complete a sequence, keeping approval points where impact requires human control.
We map the inputs, required data, decisions, tools and expected outcome. Predictable steps can remain automated. AI is added where the process needs context or must handle variation. The agent coordinates the work and requests human validation when it reaches a defined limit.
OUR FIRST SYSTEM WAS OUR OWN
At SmartLinks, content, qualification and reporting tasks relied on the same decisions, examples and data, but that context was spread across different places.
We centralised knowledge and criteria in GitHub and turned the way we work into rules through Smartbot. On top of that foundation, different AI layers can process information, prepare decisions or coordinate actions.
We did not turn every process into an agent. We kept simple rules where they were enough and applied AI only where interpretation or variation justified the complexity. Read how our AI Ready Transformation prepares the foundation, or explore AI agents for customer support.
Process and outcome
Knowledge, data and rules
Execution layer
FREQUENTLY ASKED QUESTIONS
Frequent processes with digital information, identifiable steps and a verifiable outcome. We start where there is meaningful manual load and controllable risk.
Automation follows predictable rules. An agent interprets context, chooses between possible steps and uses tools. Many solutions combine both, keeping simple automation where the rule is enough.
Usually not. The agent can connect to existing tools through available integrations. The architecture depends on each company’s systems, permissions and data.
We define minimum access, authorised sources, action logging, validations and autonomy limits. Concrete security and privacy requirements are assessed before implementation.
A process does not improve just because it has an agent. We make the work visible first, then automate what makes sense.
Book 30 minutes with Rui Martins. We review the process, the systems involved and the points where your team steps in. You leave knowing whether there is a use case worth diagnosing.
30 MINUTES · FREE · NO COMMITMENT
Reunião de 30 minutos com o Rui Martins. Sem custos, sem compromisso e sem necessidade de preparar nada.