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AI & safety innovation
We explore the use of artificial intelligence and data-driven techniques to support organisations in identifying, analysing and managing complex safety risks and improving decision-making.
The operating boundary
AI supports. People decide.
Use the outputs to ask better questions, organise evidence and prepare for human review.
AI output requires validation by a competent person before use.
Capability
These are the capabilities we intend to offer. Each one is scoped to what we actually intend to deliver, and only claimed once it is genuinely available.
Structured analysis of activity, task and condition information to surface hazards and control gaps that are easy to overlook.
Review of incident and near-miss narratives to identify recurring patterns, weak signals and repeat causes.
Turning fragmented safety information into a clearer view of where risk, effort and inconsistency actually sit.
Early-warning indicators drawn from leading activity and condition data, used as prompts for professional review rather than predictions of certainty.
Structured digital inspection workflows that make findings, ownership and follow-up easier to record and track.
Support for reviewing obligations and arrangements against evidence, highlighting where verification is outstanding.
Review of risk assessments, method statements and supporting documents for missing controls, unclear responsibilities and open questions.
Consideration of the human and behavioural factors behind exposure—workload, competence, interfaces, fatigue and decision-making under pressure.
The AI safety suite
Choose the workflow that matches the decision in front of you. Each tool is designed to make the next human conversation more productive.
Safety technology
A stronger professional positioning is data-driven safety innovation. This section sets out the digital products, AI tools, dashboards and assessment methodologies we are developing, and where they currently sit.
Structured risk, document and planning workflows built around human review rather than automated decision-making.
A clearer view of risk, performance, actions and overdue items for leaders who need to see the state of safety quickly.
Repeatable assessment frameworks designed to make findings, ownership and review points explicit.
Digital routes for recording inspections, findings and corrective actions instead of relying on disconnected paperwork.
This is a development roadmap, not a product catalogue. Items are described as they are built, reviewed and made available.
Responsible AI
Trust comes from clear limits. These principles shape how the tools are prompted, presented and used with professional review.
AI supports analysis and drafting. Qualified people remain responsible for decisions, approvals and implementation.
The tools are prompted to separate evidence, assumptions, missing information and questions instead of presenting false confidence.
Do not submit personal data or information that could identify an individual. Review your provider and retention settings before sensitive use.
AI-generated safety support is decision support, not a substitute for a competent person, site-specific risk assessment, legal advice or formal approval. A qualified reviewer must verify every output before it is used or communicated.
A connected workflow
The tools are not the destination. They help create a clearer starting point for the people who understand the work and carry the responsibility.
Give the tool the activity, people, environment and controls you know about.
Use the output as a structured starting point for professional judgement and discussion.
Assign ownership, verify controls and feed learning back into the way you work.
Need a human conversation?
Turn the draft into a practical scope of support.
Precog Safety Limited · Smarter Safety. Safer Workplaces. Stronger Organisations.
Start a conversation
Tell us about your organisation, your priorities and the risks you need to address. We will shape the right support around your needs.
Clear scope. Practical next steps.