EU AI Act in back-office: limits, records and controls for automations with AI technology. AI Act is the first European law on artificial intelligence to try to establish what an AI can do and how it should do it.
1. What is AI Act and why it affects back-office
The European Artificial Intelligence Regulation (hereinafter referred to as ‘the European Artificial Intelligence Regulation’) AI Act) is the first European law specifically regulating artificial intelligence. what an AI can do and how it should do itsetting clear limits for safe, transparent and controlled use for companies and suppliers.
The standard does not focus only on large foundational models or spectacular cases of generational AI. It also reaches many tools that are already used in the back-office:
- Automatic classification and validation of invoices.
- Internal scoring systems to assess risks or defaults.
- Automation of HR tasks to support through CV screening, performance evaluation, shift planning.
- Process Robotics (RPA + AI) to validate accounting, labor or tax data.
The AI Act uses a risk-based approach with four main levels: unacceptable risk (prohibited), high risk, limited risk and minimum risk.
The degree of compliance with the AI Act that each company is required will depend on which risk category the AI systems it uses fit into.
2. High-risk AI: when it may affect back-office
The law considers that high risk certain AI systems that may have a significant impact on people's safety or rights, including those used in:
- Employment and labour management: selection, promotion, performance evaluation, assignment of tasks.
- Access to essential services, e.g. automated credit decisions.
- Internal processes affecting certain critical infrastructure and business decisions.
A key point for companies is that risk does not depend on whether AI is visible to the public or not. Internal back-office tools can fall into the high-risk category if prepare or influence decisions with important consequences for people (employees, customers, suppliers).
Therefore, an internal scoring engine that determines whether a contract is renewed, a credit line is extended or a shift is allocated may be subject to high risk rules.
3. Key obligations of the AI Act: records, controls and documentation
For the systems of high riskthe AI Act sets out a number of minimum requirements affecting both the supplier and the company using them (the “deployer”):
- Risk management system (art. 9)
The risk management system shall be understood as an iterative, continuous process and implemented throughout the life cycle of a high-risk AI system, which will require regular reviews and updates.- Identify the risks that the system can generate (discrimination, errors, job impacts, etc.).
- Define mitigation measures and review them throughout the life cycle of the system.
- Governance and data quality (art. 10)
In accordance with the AI Act, the training, validation and testing data sets shall be subject to appropriate data management and governance practices for the intended purpose of the high-risk AI system.- Use quality training and operation data, representative and without unjustified bias.
- Document data sources and treatment criteria.
- Technical documentation (art. 11)
The technical documentation of a high-risk AI system shall be prepared before it is placed on the market or put into service and kept up to date.- Maintain a clear description of the system, its purpose, basic architecture, key variables and limitations.
- To have this documentation for audits or requirements of authorities.
- Record keeping: Recording of activities and logs (art. 12)
High-risk AI systems will technically allow automatic recording of events (hereinafter ‘registration files’) throughout the system life cycle.- High-risk systems should automatically record relevant events to allow traceability and subsequent monitoring.
- Transparency and instructions for use (art. 13)
High-risk AI systems shall be designed and developed in a manner that ensures that they operate with a level of transparency sufficient for deployment operators to correctly interpret and use their output results.- The supplier should provide clear instructions.
- The user company must understand how the system works, in what cases it may fail, and what data it needs.
- Human supervision (art. 14)
According to the AI Act, high-risk AI systems will be designed and developed so that they can be effectively monitored by natural persons during the period in use, including providing them with appropriate human-machine interface tools.- There must be a responsible person able to intervene, review results and stop the system when necessary.
- The objective of human supervision is to minimize risks.
- Accuracy, robustness and cybersecurity (art. 15)
High-risk AI systems shall be designed and developed so as to achieve an adequate level of precision, robustness and cybersecurity and function uniformly in those respects throughout their life cycle.- The system must be resistant to errors and attacks (e.g., input data manipulation).
In addition to these requirements are the specific obligations of the deploymenters (deployer): use the system according to the instructions, ensure that the input data are adequate, monitor the operation, inform the affected workers and keep the logs generated at least six months.
4. What does all this mean in a real back-office
Applying the AI Act in the back-office involves treating AI as an element subject to compliance checks, human supervision, traceability and documentation. Some examples:
- A system that proposes the automatic accounting classification Invoices will not necessarily be high risk, but should be documented, with clear thresholds and channels for human review.
- An AI that evaluates employee performance or recommends dismissals, promotions or shifts changes are clearly close to high-risk situations in the workplace and require strengthened supervision and registration.
- A model that grants or denies credit lines to customers may be considered a high risk for impacting access to essential services, in accordance with Annex III.
In all these cases, the company should be able to answer questions such as:
- What decisions exactly does AI make or prepare?
- What data do you use and where do they come from?
- Who checks and validates the results?
- How long are automated records kept?
- How is this system integrated into the organization's global risk map?
5. AI Act compliance roadmap for companies with automated back-office
For organizations that already use or want to implement AI in their back-office, it is advisable to follow a structured roadmap that allows to fulfill the obligations of the AI Act:
5.1. Inventory and classification of AI systems
The first step is to identify which systems use AI:
- Invent all the tools that incorporate AI, including modules within ERP, CRM, HR systems, RPA, etc..
- To classify them according to the AI Act scheme: minimum risk, limited or high, reviewing the assumptions of Article 6 and Annex III.
5.2. Internal AI Use Policy and Governance
Proper implementation of the AI Act requires a clear governance framework, in which both internal rules and supervisory structures exist.
- Approve one AI policy who defines roles (process owners, compliance officers, IT, legal, HR).
- Set a committee or head of AI monitor new projects and review risks on a regular basis.
5.3. Records and traceability
The AI Act requires systems to generate sufficient documentation and traceability to allow for monitoring, audit of decisions and subsequent analysis of decisions.
- Configure systems to generate automatic logs sufficient: inputs, exits, applied rules, human corrections.
- Design a registration of relevant automated decisions, especially in the areas of employment, finance or access to services.
- Define conservation times aligned with AI Act, GDPR and sectoral regulations.
5.4. Controls and human supervision
It should be ensured that AI does not operate autonomously in decisions that may generate significant risks.
- Set control points where there is always humane review (e.g. amounts above a certain threshold, decisions on non-renewal of contracts, changes in professional status).
- Document which profiles may override or correct the AI decision and how these interventions are recorded.
5.5. Contracts with suppliers and due diligence
The AI Act requires a contractual review of the sharing of responsibilities.
- Review contracts with software providers to incorporate specific clauses of:
- Responsibilities of supplier vs deployer.
- Access to technical documentation.
- Updates for regulatory changes of the AI Act.
Require evidence of compliance (conformity assessment, CE marking, risk documentation).
6. Integrate the AI Act with GDPR, compliance and internal control
The AI Act does not replace the GDPR or to the regulations for the prevention of occupational, labour, commercial or sectoral risks. All these rules coexist and the AI must be evaluated from different perspectives.
AI should be treated as an additional component of its internal control system, with obligations for traceability, human supervision, business registration, risk management and governance, as developed in this document.
In practice, a robust approach to compliance in the back-office involves:
- Coordinate to Legal, Labor, Fiscal, Technology and Compliance.
This avoids frequent situations such as automated decisions without legal basis and the use of inappropriate data.
- Integrate AI systems into the risk maps, control matrices and internal audit plans.
- Regularly review the impact on fundamental rights and, where appropriate, document specific assessments.
Compliance is not only verified in the initial deployment, but must be carried out throughout the system's life cycle.
7. How can Afianza help?
At Afianza we accompany companies that are already automating their back-office or want to take that step, combining:
- Advice in classification of AI systems According to AI Act.
- Design of internal policies, registers and controls aligned with the regulations.
- Review of contracts with technology suppliers.
- Integration of the AI Act into the global compliance system (labor, tax, accounting, GDPR, PRL).
The AI Act does not aim to slow down innovation, but to ensure that AI is used with clear limits, traceability and human supervision. Preparing the back-office today is the best guarantee to continue automating processes with legal certainty in the coming years.
