In 2025, the Secretariat of Labor and Social Security (STPS) took a decisive step towards modernizing labor supervision with the launch of Data Intelligence System for Labor Inspection (SIDIL). For the first time, federal inspections in Mexico will rely on artificial intelligence and predictive analytics to detect, with greater precision, workplaces with a high risk of non-compliance.
This change has a direct impact on companies, since the The probability of receiving an inspection will no longer be random, but will depend on a risk profile built with historical data, accident records, salaries, contracts and more.
SIDIL processes information from more than one million previous inspections and more than 35 million risk estimates. Thanks to algorithms from Machine learning, this system:
In addition, it is aligned with the Labor Reform 2019 and with policies of transparency and open access to data.
Under this scheme, prevention will be the best strategy. The areas of human resources, regulatory and legal compliance they must reinforce internal controls to avoid findings during a work visit.
La Federal Labor Law establishes severe penalties for those who fail to comply with provisions on working hours, security, discrimination, worker registration and subcontracting. With SIDIL, the chances of these practices being detected increase.
If a company in the manufacturing sector has a high number of incapacities due to accidents, inconsistencies in contracts or salaries reported to the IMSS, SIDIL may mark it as High risk and prioritize your inspection, even if it's never been reviewed.
The use of AI in labor inspections marks a before and after for companies in Mexico. Compliance with labor regulations is no longer just a legal obligation, but a business strategy to avoid sanctions and protect corporate reputation.
At Singular Law, we help domestic and foreign companies implement labor compliance programs and reduce risks in the face of inspections. Contact us today for a preventive audit.
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