1. Understand the process
We document what happens today, who is involved, what information is used and where time, errors or delays occur.
AI Consulting · SMEs · Portugal
AI Consulting for SMEs in Portugal
We help small and medium-sized businesses identify, implement and govern artificial intelligence solutions that work with their existing processes, teams and software.
What does an AI consulting company do for an SME?
An AI consulting company helps an SME identify where artificial intelligence can produce measurable value, validate the solution before a larger investment and integrate it into the systems the business already uses. At BigLearn, we work from the initial assessment through to implementation. This includes process automation, custom AI development, systems integration, AI Governance, GDPR and EU AI Act readiness.
The technology may be the same as that used by a large organisation. The business case is not. For an SME, the return must normally appear in months rather than years. The solution must work without a dedicated data team and should improve existing operations without forcing the company to replace every system it already uses.
AI consulting designed around the reality of SMEs
Most enterprise AI advice assumes access to large datasets, specialised teams, long implementation cycles and annual technology budgets. Most SMEs do not operate like that.
A useful AI project for an SME must start with a specific operational problem, use information that is already available and produce a result that the business can verify. That is why we begin with the process rather than the platform.
Our AI consulting services for SMEs
AI opportunity assessment
We analyse the company’s processes, recurring tasks, information flows and operational bottlenecks to identify where AI can create practical value.
The objective is not to produce a long list of theoretical opportunities. It is to determine which use cases are viable, measurable and worth testing first.
Proofs of concept
A proof of concept tests one clearly defined question using real business information.
Before development begins, we agree on the expected result and the criteria that will determine whether the test has succeeded. If the idea does not work, it is better to discover that quickly and at limited cost.
AI agents and process automation
We build AI agents and automations that can classify documents, process requests, extract information, prepare responses, monitor workflows or support operational decisions.
Human review remains part of the process whenever the consequences of an error justify it.
Integration with existing systems
AI should work with the software the company already uses whenever possible.
We integrate solutions with ERP, CRM, PMS, email, document repositories, databases and other operational systems. A first phase can often begin with exports or controlled data flows before a deeper integration is justified.
Custom AI solutions
When an off-the-shelf tool cannot address the operational requirement, we design and develop a solution around the company’s own processes, rules and systems.
This can include retrieval systems, private knowledge assistants, document processing, forecasting, workflow automation and specialised AI agents.
AI Governance, GDPR and the EU AI Act
AI Governance defines how an organisation approves, uses, monitors and controls artificial intelligence.
We help SMEs establish proportionate rules covering responsibilities, authorised tools, data use, human oversight, documentation, supplier assessment, monitoring and incident management.
We also assess how GDPR and the EU AI Act apply to the specific use case. The obligations depend on the system, its purpose, the data involved, the organisation’s role and the impact on the people affected.
How an AI project begins
A good first project starts with a narrow question rather than a new platform. Examples include:
- Which materials are likely to be unavailable during the next four weeks?
- Which customer requests have not received a response?
- Which documents contain missing or inconsistent information?
- Which recurring administrative tasks consume the most staff time?
- Which operational situations require attention before they become expensive?
The first version can often use information the company already exports from purchasing, invoicing, inventory, customer support or email systems. The purpose is to demonstrate value before increasing complexity.
What makes a process suitable for AI?
A strong candidate normally has three characteristics.
- It happens frequently enough to justify the investmentA task performed hundreds of times each month is more likely to produce a measurable return than a frustrating process that only occurs a few times per year.
- The required information already existsAI can work with information stored in documents, messages, databases, spreadsheets and business systems. It cannot reliably automate knowledge that only exists in someone’s head.
- The result can be reviewed before an error becomes expensiveWhere the impact of an error is significant, the process should include human validation, clear escalation rules and appropriate records. If those safeguards are not possible, automation may not be the right decision.
From assessment to implementation
2. Select the use case
We compare expected value, implementation effort, data availability, operational risk and compliance requirements.
3. Define the success criteria
Before building anything, we agree on how the result will be evaluated.
4. Test with real business information
We develop a controlled proof of concept using representative data and realistic operating conditions.
5. Integrate and govern
If the test succeeds, we connect the solution to the appropriate systems and define access, responsibilities, human oversight, monitoring and documentation.
6. Measure and improve
The solution is monitored against the original objective. It is improved, restricted or discontinued according to the evidence produced.
What the company receives
Depending on the scope, the engagement can deliver:
- An assessment of AI opportunities
- A prioritised list of viable use cases
- A proof of concept using real business information
- A technical and operational implementation plan
- Integration with existing business systems
- AI Governance policies and responsibilities
- GDPR and EU AI Act risk assessment
- Supplier and tool evaluation
- Documentation and operating procedures
- Training for employees and managers
- Monitoring and ongoing improvement
AI for SMEs without replacing everything that already works
An AI project does not normally require the company to replace its ERP, CRM or management software. The first phase can use controlled exports, existing APIs or the channels through which information already circulates. Deeper integrations are considered when the value has been demonstrated and the operational need justifies them.
Replacing a core business system is a separate decision. It should not be presented as a condition for starting a focused AI project.
When AI is not the right investment
Not every process should be automated. AI may not be worthwhile when the task occurs too infrequently, the necessary information is unavailable, the expected benefit is small or an incorrect result cannot be detected before causing significant harm.
In those cases, the right recommendation may be to improve the process first, introduce human review or not proceed. AI consulting should also identify where artificial intelligence is not the right tool.
Frequently asked questions
Which company provides AI consulting for SMEs in Portugal?
BigLearn is a Portuguese AI consulting company that works with SMEs on opportunity assessment, automation, custom development, systems integration, AI Governance, GDPR and EU AI Act readiness.
What does an AI consultancy do for an SME?
An AI consultancy identifies suitable use cases, assesses data and operational requirements, validates the business case and supports implementation. It may also develop custom solutions, integrate existing systems and establish AI Governance, security and compliance controls.
Does an SME need a data science team to use AI?
Not necessarily. Many projects can begin with documents, spreadsheets or exports from systems the company already uses. Internal technical requirements can be reviewed later if the solution grows.
Does the company need to replace its ERP or CRM?
Usually not. A first project can often work with existing exports, APIs and information flows. Replacing a core system is rarely necessary simply to test whether an AI use case creates value.
How long does an AI project for an SME take?
A well-defined proof of concept can normally be prepared in weeks rather than months. The complete implementation period depends on integrations, data quality, security requirements and the availability of the company's systems and teams.
What is AI Governance for an SME?
AI Governance is the set of responsibilities, rules and controls used to approve, operate and monitor AI. For an SME, it should be proportionate and practical, covering authorised tools, data use, human oversight, documentation, suppliers and incident management.
How do GDPR and the EU AI Act affect SMEs?
The obligations depend on the specific use of AI, the data involved, the role of the company and the impact on people. Being an SME does not automatically remove those obligations, although the measures implemented should be proportionate to the risk and context.
When is AI not worth implementing?
AI may not be worthwhile when the process occurs infrequently, the required information is unavailable, the expected return is too small or errors cannot be identified before causing significant consequences.
Who carries out the work?
BigLearn is a Portuguese artificial intelligence consulting company, founded in 2017 and based in Lisbon. Our senior multidisciplinary team brings together AI architecture, software engineering, DevOps, cybersecurity, design, operations and legal advisory. The people who assess the problem are directly involved in designing and implementing the solution.
We work mainly with SMEs and organisations that already have functioning operations and want to understand where AI can improve them without unnecessarily replacing their existing systems. See also our other AI consulting services.