Match the work
Use task, asset, location, work type and jurisdiction to bring back relevant guidance—not a one-size-fits-all answer.
Practical AI · Approved knowledge, clear context and accountable human review.
Practical AI, grounded in your work
Less searching. Better context. Human decisions.
Factor EHS uses retrieval-augmented generation (RAG) to bring the right approved knowledge into the work people are doing—without handing over the decision.
What RAG means here
Guidance that knows the task, place and approved source.
RAG connects an AI assistant to the organization’s own current procedures, controls, prior evidence and role-relevant information. Instead of a generic answer, it can retrieve the applicable material before helping draft a next step.
Every consequential recommendation remains reviewable by qualified people. AI can assist, explain and propose; it does not authorize work, weaken a required control or publish a decision on its own.
Shape the next step
Help create inspection questions, JSA or permit drafts, action summaries and plain-language hazard descriptions.
See the pattern
Group recurring observations, surface trend signals and help teams focus investigation and preventive work where it matters.
Designed for field reality
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AI that helps work move—not just text move.
Practical assistance supports the decisions inside your workflows, with clear sources and a visible path back to accountable review.
Retrieve
Find approved procedures, controls and relevant past evidence using the context of the work.
Assist
Draft a recommendation, normalize a report or suggest the next inspection question.
Review
Show the source, version and rationale so the right person can evaluate the proposal.
Improve
Use verified outcomes and recurring themes to strengthen future work and programs.
Built-in guardrails
Useful assistance requires sound boundaries.
Factor EHS respects permissions and organizational boundaries, distinguishes approved controls from field observations, preserves mandatory requirements and shows where information came from.
When information is missing, outdated or contradictory, the right outcome is escalation to qualified review—not false certainty.
Talk through your use case ↗The connected intelligence layerAssistance across the
Assistance across the
complete workflow.
Practical intelligence connects your workflows through permission-scoped knowledge, source traceability and accountable human review.
Assisted reporting
Voice capture, free-text normalization and suggested structure preserve the original report and require user review.
Context-aware inspections
Task and location context inform suggested questions; photo/video hazard observations remain human-reviewed suggestions.
Job planning & permits
Approved-knowledge retrieval supports JSA and permit drafts while deterministic controls and authorized people govern work.
Investigation decision support
Tenant-configured investigation requirements can be supplemented by reviewable recommendations to investigate a below-threshold event.
Work-type trends & emerging risk
Analyze comparable tasks, assets, failed controls and evidence; show uncertainty, coverage and the reasons for prioritization.
Governed organizational learning
Consolidate evidence into proposed improvements; qualified owners approve changes to controls and reusable knowledge.
Human-led decisions · AI supports the professional; qualified people retain authority over work and consequential decisions.
See the full platform scope ↗