How does your usual morning start as a Health and Safety Director? Probably, coffee in hand, checking an inbox full of night shift reports, validating urgent work permits for contractors, and preparing Excel data for the 9:00 AM operations meeting.
The reality of the EHSQ manager has historically been linked to a brutal administrative burden. However, current technology (not science fiction, but tools available today and scalable for 2026) allows for a shift in focus: less administrative “firefighting” and more strategic prevention.
Below, we analyze three critical early-morning processes that Artificial Intelligence can manage for you, aligning with management systems such as ISO 45001 and ISO 14001.
1. For the Morning Briefing and Data Analysis
Instead of exporting Excel files and manually filtering to understand what happened during the previous shift, Prodity utilizes specific AI tools to streamline this process.
IA Scout radically changes your first hour of the morning. It acts as a conversational agent that allows you to “talk” to your database. In a real-world use case, you could arrive at the office and ask in natural language: “Were there any high-potential incidents during the night shift in the packaging plant?” The system answers you immediately without you having to navigate through menus.
RelaTiQ is designed for trend analysis by performing an intelligent search for similar events. For example, if the night shift reported a “valve leak,” RelaTiQ doesn’t just show you that leak; it semantically tracks historical data to tell you: “Attention, this is the fourth similar event involving valves from this supplier in the last 6 months.” This turns an isolated data point into a management trend.
2. For Frictionless Plant Data Capture
One of the biggest headaches is that operators don’t report because “it’s hard to type on a mobile with gloves” or “the system is slow.”
FieldVoice directly attacks the cultural barrier to reporting. It allows for record generation via WhatsApp audio messages. In a typical use case, a technician sees an unsafe condition. Instead of stopping to type, they send a quick audio message. The AI transcribes, structures the data, categorizes the risk, and automatically creates the record in the system. This feeds the system with real data for the EHS Director to analyze.
3. For Administrative and Document Management
To free up those administrative hours mentioned earlier, AI can handle the heavy lifting of paperwork.
ActionBot functions as your junior administrative assistant, in charge of generating action plans, risk assessments, and lessons learned. For instance, after an incident, instead of starting the report from a blank page, ActionBot proposes a draft action plan based on the detected root cause and best practices previously learned by the system. You simply review and validate.
Frequently Asked Questions about AI in EHS Management (FAQ)
Below, we answer the most common questions from Safety and Environmental Managers regarding the implementation of these technologies.
How can AI help analyze Safety Observations? AI uses Natural Language Processing (NLP) to read thousands of observations in seconds. Tools like RelaTiQ identify semantic patterns that a human would overlook, grouping, for example, all reports mentioning “slips” or “lack of light”—even if written differently—allowing for action before an accident occurs.
Is AI valid in auditable OHS processes (ISO 45001)? Yes. ISO 45001 requires evidence-based decision-making. Using AI to collect and analyze data improves performance evaluation accuracy. However, final validation and critical decision-making must always be the responsibility of a competent person. AI is a support tool, not the legal responsible party.
Does AI reduce the administrative burden on prevention technicians? Drastically. By automating data entry (with tools like FieldVoice via audio) and generating document drafts (with ActionBot), it is estimated that up to 40% of the technician’s time can be freed up, allowing them to focus on field inspections, training, and safety culture.
Is it difficult to start using tools like IA Scout or ActionBot? No, that is their main advantage. Being based on natural language (chat) and commonly used platforms (like WhatsApp for audio), the learning curve is minimal. It requires no programming knowledge, only knowledge of the safety operational process.
