AI in HSE

The book by Subhrajeet Patra

Turn AI potential into better HSE practice.

AI in HSE: A Practical Guide for HSE Professionals shows HSE professionals where AI helps, how to check what it produces, and how to keep the decision where it belongs: with you.

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Parts
13
Parts
chapters
65
chapters
tools
72
tools
SAFE prompts
12
SAFE prompts
Front cover of AI in HSE: A Practical Guide for HSE Professionals by Subhrajeet Patra, showing an HSE professional with a tablet at an industrial site

Let AI assist.
Let your judgment lead.

  • Turn time-consuming HSE tasks into structured AI workflows.
  • Build confidence with practical use cases and reusable prompts.
  • Protect sensitive data, verify outputs and stay accountable.

What is inside

Thirteen Parts that follow real HSE work, from documentation and process safety to data protection, loop engineering and consequential decisions. About 45,000 words, a Conclusion and six appendices.

  1. Part 1FoundationsChapters 1 to 3
    • 1Why AI belongs in the HSE conversation
    • 2Understand the tool before trusting the output
    • 3Choose a small, approved toolbox
  2. Part 2Documentation and daily workChapters 4 to 10
    • 4SOPs, JSAs and risk assessments
    • 5Incident investigation and evidence
    • 6Toolbox talks, training and inductions
    • 7Audits that follow the evidence
    • 8Permits, simultaneous work and geofencing
    • 9Emergency preparedness and communication
    • 10Safety data sheets and chemical records
  3. Part 3Process safety and monitoringChapters 11 to 17
    • 11HAZID and HAZOP support
    • 12Bow-ties and barrier management
    • 13Predictive safety without false certainty
    • 14Computer vision and camera-based monitoring
    • 15From a camera alert to a closed action
    • 16Connected gas detection and confined spaces
    • 17Thermal imaging and early warning
  4. Part 4Platforms, skills and governanceChapters 18 to 21
    • 18Evaluate the platform behind the promise
    • 19SAFE prompting and disciplined review
    • 20Build competence across the team
    • 21Governance that people can use
  5. Part 5People, technology and work designChapters 22 to 28
    • 22Wearables and occupational health
    • 23Digital twins and simulation
    • 24Internal safety assistants
    • 25Contractor management and work pressures
    • 26Ergonomics and musculoskeletal risk
    • 27Psychosocial risk and mental health
    • 28Lone-worker monitoring
  6. Part 6Environmental managementChapters 29 to 32
    • 29Methane, emissions and remote inspection
    • 30Air, water and occupational exposure data
    • 31Waste records and circular opportunities
    • 32Sustainability reporting with an audit trail
  7. Part 7Put the methods to workChapters 33 to 36
    • 33Seven implementation scenarios
    • 34A glossary for practical conversations
    • 35Read beyond the product page
    • 36Your first 90 days
  8. Part 8The practical toolkitChapter 37
    • 37A directory of 72 tools to investigate
  9. Part 9Use AI safely in everyday HSE workChapters 38 to 43
    • 38Decide whether AI belongs in the task
    • 39Build a safe session from input to release
    • 40Verify facts calculations and citations
    • 41Resist automation bias and review fatigue
    • 42Test an assistant before people depend on it
    • 43Respond when AI use goes wrong
  10. Part 10Protect the information behind the workChapters 44 to 49
    • 44Know what information you are handling
    • 45Minimize redact and de-identify with care
    • 46Evaluate an account and supplier before uploading
    • 47Control retention sharing and deletion
    • 48Treat source instructions as untrusted content
    • 49Protect workers when using images audio and health data
  11. Part 11Engineer the loop around AIChapters 50 to 55
    • 50Design the complete decision loop
    • 51Make human involvement meaningful
    • 52Build a controlled knowledge assistant
    • 53Limit agents and automated actions
    • 54Use feedback without teaching the wrong lesson
    • 55Maintain the system after the pilot
  12. Part 12Work through the use casesChapters 56 to 61
    • 56Construction inspection notes to a weekly action review
    • 57Maintenance handover without invented equipment status
    • 58Chemical register updates with a controlled exception queue
    • 59Environmental data from spreadsheet to defensible narrative
    • 60Contractor mobilisation and induction without false assurance
    • 61Emergency exercises and multilingual communication
  13. Part 13Extend the method to consequential decisionsChapters 62 to 65
    • 62Support management of change without approving the change
    • 63Keep AI connections away from uncontrolled operational access
    • 64Use AI to organize heat-risk planning
    • 65Build a business case that survives scrutiny

Conclusion and appendices

Conclusion: Keep the judgment visible. Appendices A. Reusable workplace worksheets; B. Twelve reusable SAFE prompts; C. Procurement and value scorecard; D. Source notes and further verification; E. Task routes and topic finder; F. Practice debriefs and review criteria.

Chapter 19 and Appendix B

Twelve reusable SAFE prompts

SAFE is the brief-writing method used throughout the book. It improves the brief. It does not certify the answer, which is why every prompt comes with its own review focus.

  1. SSet the scene

    Task, audience, sources and what is still unknown.

  2. AAsk

    One defined task with a testable outcome.

  3. FFormat

    An output that is easy to inspect and check.

  4. EExclude

    No invented facts, limits or approvals.

Buyers copy each prompt with one click, ready to adapt with approved information.

Chapter 37

A directory of 72 tools to investigate

A discovery list across twelve categories, each entry with an HSE use and the check to make before trusting it. Not an endorsement, and not a shopping list.

  • General AI assistants
  • Research and source-based knowledge
  • Writing, language, and translation
  • Presentations and visual storytelling
  • Diagrams, workshops, and process maps
  • Images and graphic creation
  • Video generation and avatars
  • Video editing and content repurposing
  • Audio, voice, and music
  • App building and coding
  • Meetings, notes, and team productivity
  • Automation, data, and dashboards

Plus eleven workplace worksheets with completed examples, a procurement scorecard and practice debriefs for every Part.

From the free sample

“The benefit is not the amount of text generated. It is whether a competent person reaches a reliable result with less wasted effort.”
Chapter 1: Why AI belongs in the HSE conversation
“I would rather you finish with one dependable workflow than accounts on twenty services.”
Preface
“In HSE, being able to explain why you accepted a result is part of doing the job well.”
Preface

Keep reading the free sample

Subhrajeet Patra, author of AI in HSE

About the author

Subhrajeet Patra

Connect on LinkedIn

Subhrajeet Patra is an HSE and sustainability professional with over fifteen years of experience across oil and gas, EPC, facilities management and infrastructure projects in India, Kuwait and the UAE. He holds an MSc in Environmental Science, a NEBOSH International General Certificate and an ISO 45001 Lead Auditor qualification.

He founded AI in HSE and Ensured Safety to upskill HSE practitioners and enable AI adoption across HSE functions, helping them save time and increase productivity. He also advises organizations through Prusta FZE LLC. His focus is the connection between emerging tools and the decisions an HSE professional remains responsible for making.

Learn more at www.aiinhse.com

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Questions

What exactly do I get?

Online access to the full expanded edition: all 13 Parts and 65 chapters, the Conclusion, Appendices A to F, the seven figures, the 72-tool directory, the twelve SAFE prompts and the workplace worksheets. Corrections to this edition are included at no extra cost.

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