Driving the automation of complex processes with AI
Intelligent automation combines automation and AI to interpret information, work with documents and make decisions within defined criteria, expanding the range of tasks and processes that can be automated.
At LurNova we develop AI solutions to automate tasks, connect systems and reduce manual intervention in processes.
We can combine artificial intelligence, AI agents, robotic process automation (RPA) and integrations, selecting the most suitable technologies for each case according to the tasks, information and systems involved.
In this way, we connect different stages of the work and help people devote more time to the tasks that require their judgement and experience.
Beyond automating tasks
Automation is not just about performing a task faster. It is also an opportunity to review the whole process: how information flows, which steps depend on others and where delays or duplicated work occur.
This view helps decide what is best automated with rules, where AI can interpret information and at which points a person's judgement is needed. For example, a system can receive a document, extract its data and record it in an application, setting aside unclear cases for review.
We aim to combine automation, artificial intelligence and human intervention so that the process moves forward with less manual work while keeping review where it adds value.
How we develop our automation solutions
We start from the current process to understand what needs to improve and how far it makes sense to automate it. Based on that analysis, we design, develop and launch the solution, validating how it works and supporting its evolution.
We understand the process and identify opportunities for improvement.
We analyse the workflows, the tasks they comprise, the people involved and the systems used.
We identify manual and repetitive activities, bottlenecks and difficulties in exchanging information that can be resolved through automation. We study the exceptions and the points at which human intervention is still needed.
We define how the new process should work.
We establish which tasks can be automated, which require oversight and how the solution should respond to the different situations that may arise.
We define the information required, the systems involved and the most suitable technologies for each part of the process, along with the review and approval criteria.
We build the solution and connect it to its working environment.
We develop the components needed to automate the process and add the artificial intelligence capabilities each case requires.
We integrate the solution with the applications and information sources that are already part of the technology environment: ERP, CRM, document management systems, email, databases, web applications, APIs and other corporate systems.
We check how it works before go-live.
We test the solution against different scenarios to verify that the process runs correctly and responds as expected to the main exceptions.
We work with the teams involved to validate the results and make the necessary adjustments before bringing the automation into the production environment.
We bring the automation into day-to-day work.
We deploy the solution in the environment where it will operate and activate the oversight mechanisms defined during design.
We support teams so they can use the solution, oversee how it works and handle the situations that require their intervention.
We improve the solution as the process evolves.
Once it is up and running, we analyse the results and identify new opportunities for improvement.
We can adjust the automation, add new capabilities and extend its scope to other tasks or systems. In this way, the solution evolves alongside the organisation's needs.
Managing exceptions to keep the process moving
Real processes can involve incomplete information, unexpected documents or cases that require a specific decision. We design the automation to detect these situations and trigger an appropriate response.
Depending on the case, the solution can request missing data, retry an operation or pass the task to a person, indicating what needs review. Once the issue is resolved, the process can resume from the relevant point, avoiding repeated steps or lost work.
Measuring the impact of automation
To see what automation delivers, we compare how the process performs before and after implementation.
We define indicators based on the project's objectives: processing time, manual intervention, errors and volume of tasks completed. Tracking them shows which improvements have been achieved and where delays or difficulties persist.
Frequently asked questions
What is intelligent automation?+
Intelligent automation combines automation technologies with artificial intelligence capabilities to carry out tasks and processes fully or partially. It can handle both rule-based activities and others that require interpreting information, working with documentation or responding to varied situations.
What is the difference between traditional and intelligent automation?+
Traditional automation works particularly well for structured tasks that follow predefined rules and steps. Intelligent automation adds AI capabilities that also make it possible to work with less structured information and tackle processes that require a deeper understanding of context.
What is RPA and what role does it play in intelligent automation?+
Robotic process automation, or RPA, automates repetitive tasks using software that interacts with applications and systems. It can be combined with artificial intelligence, agents and integrations when the nature of the process requires it.
Which processes can be automated?+
It depends on each organisation. We can work on administrative processes, document management and processing, data entry and transfer, report generation, information classification, checks or processes that require interaction with different applications.
How do we identify which processes are worth automating?+
We analyse the current process, the manual tasks it involves, how often they occur, the systems involved and the main points of friction. From there, we assess which parts can be automated and where doing so can generate the most value.
Do existing systems need to be replaced?+
Not necessarily. We design solutions that can interact with the applications and systems the organisation already uses, through APIs, integrations or other available mechanisms.
Can automation work with documents and text?+
Yes. Artificial intelligence makes it possible to develop solutions that can interpret, classify, extract or analyse information contained in documents and text, always depending on the characteristics and needs of the use case.
What role do AI agents play?+
Agents can form part of an automation when the process requires performing different tasks, using tools, consulting information or carrying out actions. Not every process needs agents: we include them when they add value.
Can human oversight be maintained?+
Yes. We define the appropriate level of autonomy for each process. Certain tasks can be executed automatically, while others may require review, validation or approval by a person.
What happens when an exception occurs?+
We define how the solution should respond to the main exceptional situations. Depending on the process, it can follow an alternative flow, stop, log the issue or request a person's intervention.
Is it possible to start by automating just part of a process?+
Yes. In many cases it is advisable to start with specific tasks or parts of the process, validate the results and then extend the automation.
Can the solution evolve once implemented?+
Yes. We can add new tasks, systems, integrations or AI capabilities as needs change and new automation opportunities are identified.
Other services
AI strategy and consultancy
We define where AI can add the most value and how to put it into practice.
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AI applied to knowledge
We turn knowledge into a capability made accessible through AI.
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AI agents
We develop AI agents capable of collaborating on tasks and processes.
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AI training and adoption
We prepare teams to bring AI into the way they work.
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Transforming processes to free up capacity
Intelligent automation opens up new possibilities for improving the way you work. At LurNova we help you reduce the manual workload and free up time for the tasks that require judgement and experience. Let's talk about which processes you could automate.