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4 AI tools live7 core services10 expertise areasISO 45001ISO 14001ISO 9001NEBOSHIOSHISEP
Advisory activeActive
Surveying work area
AI Safety Suite · live now
Survey clockUK
4 AI tools live7 core services10 expertise areasISO 45001ISO 14001ISO 9001NEBOSHIOSHISEP
Advisory activeActive
Surveying work area
AI & safety innovation · live now
We use artificial intelligence and data-driven techniques to help organizations identify, analyse and manage complex safety risks — and four of those workflows are live on this page right now.
Live AI-assisted workflows, running on this site — free to open, free to test, always reviewed by a person.
AI tools live on this site
Open them now
Capabilities in scope
Illustrated below
Roadmap items underway
Built as they are ready
Built around evidence
The AI safety suite
Pick the workflow that matches the decision in front of you. Each tool organizes information, surfaces the questions worth asking and prepares a draft for professional review.
Every output is decision support for a competent person — not a certification, approval or legal opinion.
precog · ai safety suite
AI Safety Consultant
Explore a complex safety challenge through a guided, context-aware conversation with clear human-review boundaries.
Assistant draft
Structured findings, open questions and the assumptions that still need a competent person
AI outputs are decision support, not professional certification or a substitute for competent human review.
Our responsible AI approachCapability
Eight capabilities we intend to offer, each scoped to what we actually deliver. Select one to see what it produces, what it exposes and what a competent person still has to do.
Capability
01 of 08
Structured analysis of activity, task and condition information to surface hazards and control gaps that are easy to overlook.
What a person still has to do. Confirm the hazard list against site reality. The tool has not walked the platform, spoken to the crew or seen the permit.
Signal values are an illustrative description of each capability's output shape — not a benchmark, performance claim or certification.
See the reasoning
This is the shape of a responsible output. The task is restated, the analysis steps are visible, every finding carries the basis behind it, the information that was missing is named, and the draft stops at a human gate.
Findings are tied to the evidence given, not to a guess at the site
Missing information is stated rather than quietly filled in
Controls are drafted as prompts to verify, not as instructions
The output ends at a review gate, not at an approval
Replacing a corroded section of pipework on an operating platform at height.
Missing information: platform inspection records, current permit status and the isolation boundary.
Human review required before any control is relied on.
Safety technology
A stronger professional positioning is data-driven safety innovation. This is what we are building next, and where each item currently sits.
Structured risk, document and planning workflows built around human review rather than automated decision-making.
Repeatable assessment frameworks designed to make findings, ownership and review points explicit.
A clearer view of risk, performance, actions and overdue items for leaders who need to see the state of safety quickly.
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.
Evidence
Activity, documents and data supplied by the organization.
AI analysis
Structure, pattern-matching and a first draft — nothing more.
Human judgement
A competent person tests it against reality and decides.
Accountable action
Ownership, control verification, review and learning.
The operating boundary
Use the outputs to ask better questions, organize evidence and prepare for human review. The loop only works if the judgement stays with someone accountable for the work.
A draft, not a decision
Outputs are structured starting points for professional judgement and discussion.
Evidence, assumptions, gaps
The tools are prompted to separate what is known from what is inferred or missing.
Your data, your settings
Review your provider and retention settings before submitting anything sensitive.
Accountability stays human
No output is a certification, approval, legal opinion or a substitute for a competent person.
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?
Start a conversation
Whether you want to test one of the live tools, explore an AI-enabled safety engagement or talk through a specific risk, Precog Safety Limited is ready to support you.
Clear scope. Practical next steps.