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for Oil and Energy Teams

Deliver personalized learning
Deliver personalized
learning
Close skill gaps
Close skill gaps
Establish cost-effective training operations
Establish cost-effective
training operations
Elevate your Oil and Energy team with quality custom training content.
Here's What Our Clients Say
Examples of custom elearning solutions
for the Oil and Energy industry
Microlearning Modules
Microlearning Modules

Bite-sized lessons that deliver focused knowledge quickly and efficiently.

Example:

“Permit-to-Work in the Real World” walks through a tight, everyday scenario—a pump swap during a busy shift—so people see how isolation, permits, and verification fit together without turning it into a lecture. We look at the form, yes, but we also show where delays creep in and how a two-sentence radio update keeps everyone in the loop. It’s calm, practical, and designed to be watched from a break room, not a classroom.

Engaging Scenarios
Engaging Scenarios

Interactive stories that let learners practice decision-making in realistic contexts.

Example:

“Schedule Pressure vs. Good Decisions” puts you in a moment every operator recognizes: a maintenance window is closing, a stakeholder wants ‘just one more try,’ and alarms have been noisy all afternoon. You choose how to respond. The story shows what changes when you pause, who you inform, and how a plain-spoken handover protects both people and production.

Tests and Assessments
Tests and Assessments

Quizzes and evaluations that measure understanding and track progress.

Example:

“P&ID Sight-Read” uses masked drawings and clear photos to help folks build a visual vocabulary—valves, instruments, and flow paths—without expecting them to memorize symbols cold. You’ll pick what’s what, then see a quick rationale that ties the drawing to a real piece of kit.

Personalized Learning Paths
Personalized Learning Paths

Customized content sequences tailored to each learner’s goals and needs.

Example:

“Role Paths: Ops, Maintenance, HSE, Renewables O&M, Trading/Scheduling” adapts to your day job. Operators practice smooth shift turnovers and clear logs; maintenance leans on work packs, evidence photos, and communicating isolations; HSE focuses on clear, respectful incident language; renewables teams get string checks and fleet dashboards; traders and schedulers practice calm, audit-friendly notes.

Performance Support Chatbots
Performance Support Chatbots

On-demand digital assistants that provide just-in-time answers and guidance.

Example:

“SiteGuide” answers the practical, policy-based questions that slow a shift: ‘Which checklist goes with this task?’ ‘What goes in the log?’ ‘Who else needs the update?’ It cites your procedures and provides tiny, copy-ready notes for your logbook or work order—no improvising, no unsafe advice.

Online Role-Plays
Online Role-Plays

Simulated conversations or interactions that help learners build real-world skills.

Example:

“Town Hall Without Spin” lets project teams practice answering community questions about noise, traffic, and timelines in a way that’s transparent and respectful. The avatar asks fair questions; you practice staying factual and human, and you get feedback on the phrases that build trust versus the ones that land as defensive.

Compliance Training
Compliance Training

Structured programs that ensure employees meet regulatory and organizational standards.

Example:

“Environmental Reporting, Minus the Jargon” focuses on what front-line people actually touch—log accuracy, timely notifications, and the small details that make regulators’ lives (and yours) easier. We show examples of clear, policy-safe wording and the simple habits that keep data clean.

Situational Simulations
Situational Simulations

Immersive activities that replicate real-life challenges in a risk-free environment.

Example:

“Alarm Day” simulates a high-noise afternoon so teams can practice prioritizing, logging, and communicating without getting dramatic. You’ll learn when to call for help, how to structure an update, and what a good shift note sounds like later—no procedures revealed, just good habits.

Upskilling Modules
Upskilling Modules

Targeted courses designed to expand knowledge and build new competencies.

Example:

“Energy Markets 101 for Ops” explains in plain speech how your plant, field, or turbine fleet connects to the business—day-ahead, real-time, curtailment, and why your clear notes help schedulers keep promises. It’s the ‘why’ behind the ‘what’ so decisions make sense across the fence line.

Problem-Solving Activities
Problem-Solving Activities

Exercises that strengthen critical thinking and practical problem-solving skills.

Example:

“Alarm Flood Post-Mortem” gives a mixed team a sanitized trend, a timeline, and three log excerpts. Together you write a one-paragraph narrative of what happened and agree on two tiny changes for tomorrow—because lasting improvement is built on small, shared wins.

Collaborative Experiences
Collaborative Experiences

Group learning opportunities that encourage teamwork and knowledge sharing.

Example:

“Pre-Startup Huddle (Paper to Practice)” helps cross-functional teams run a dry-run of communication and documentation. You won’t touch the kit—you’ll practice who says what, when, and how it lands in the log so the real day feels smoother and safer.

Games & Gamified Experiences
Games & Gamified Experiences

Play-based learning methods that motivate through competition, rewards, and fun.

Example:

“Shift Handover Bingo” turns good habits into a grin. Each square is a tiny best practice—clear status, pending permits, outstanding work, names and times. Teams race to a neat, complete handover without turning it into a chore.

Let's discuss which custom solution can take your team to the next level.
Discover an easy way to ensure…

1

Skill Growth

Custom training builds real-world competencies step by step, giving learners the confidence and ability to perform effectively.

2

Employee Engagement

As learners see their skills improving, they become more invested and motivated, deepening participation in the training process.

3

Organizational Readiness

This combination of stronger skills and higher engagement ensures the workforce is prepared, compliant, and aligned with organizational goals.

Typical Outcomes Seen by Organizations
in the Oil and Energy Industry

40%

40%
Less Time Spent on Training

Online learning requires less than half of the time that would be needed for in-person training.

70%

70%
Efficient Experience-Based Learning

Up to 70% of adult learning occurs through hands-on experiences. Online task simulators allow practicing and making mistakes in safe environments.

94%

94%
Higher Learner Satisfaction

94% of adult learners prefer to study at their own pace and on their own schedule.

Using AI to improve training outcomes
in Oil and Energy
AI-Powered Chatbots and Virtual Coaching

These are conversational agents (often built on advanced language models) that can interact with employees in natural language – answering questions, providing feedback, and even coaching in a human-like manner. L&D decision-makers are increasingly adopting these tools to offer on-demand assistance and personalized guidance.

robot
24/7 Learning Assistants

AI chatbots serve as always-available tutors or helpdesk agents for learners. Employees can ask a training chatbot to clarify a concept, provide an example, or troubleshoot a problem at any time. Many companies have integrated such bots into their learning platforms or collaboration apps. According to industry research, virtual assistants and chatbots are now being deployed to handle routine learner queries and provide instant feedback on quizzes or exercises. This immediate support keeps learners from getting stuck and enables more self-directed learning. It also reduces the burden on human instructors or IT support for common questions.

Example:

“PolicyBot (Energy)” replies with short, cited answers to policy/process questions—handover essentials, log wording, notification chains, and document locations. It never suggests technical actions; it points to approved procedures in your system.

Feedback and Coaching

Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.

Example:

Upload a 30-second shift note and the coach highlights what’s clear, what’s missing, and a better first sentence. It feels like a seasoned lead editing at your shoulder—firm, brief, useful.

Scenario Practice and Role-Play

A cutting-edge use case of AI chatbots is powering immersive role-play simulations. AI characters can simulate realistic dialogues with learners. Users can practice a coaching conversation with an AI-driven avatar that responds dynamically. Many organizations have already implemented this type of learning interaction, enabling learners to practice difficult conversations in a safe, simulated environment and receive instant constructive feedback. The AI can adapt its responses based on what the learner says, creating a tailored scenario and coaching the learner on their choices. This moves training beyond scripted e-learning into interactive learning-by-doing.

Example:

“Stakeholder Call Practice” lets schedulers rehearse level-headed updates to market partners or grid counterparts. You’ll practice saying exactly what you know, what you don’t, and when you’ll call back—so the next real call feels steady.

Let's discuss how AI-powered chatbots and virtual
coaching can help you improve training outcomes.
Automated Assessments and Intelligent Feedback

AI is transforming how companies assess learning and evaluate competencies. Traditional training assessments (quizzes, tests, assignments, etc.) can be labor-intensive to create and grade, and they often provide limited feedback to learners. AI is changing this by enabling more automated, intelligent assessment methods.

Automated Assessments and Intelligent Feedback
Auto-Generated Quizzes and Exams

Using generative AI, L&D teams can automatically create pools of quiz questions, knowledge checks, or even complex case-study exams. Given a training document or video, an AI tool can generate relevant questions to test comprehension. This not only speeds up assessment development but can also produce a wider variety of test items (reducing over-reliance on a few repeat questions). By automating quiz generation, trainers ensure assessments are always fresh and stay aligned with up-to-date content and learning goals.

Example:

Drop a redlined communication standard and the system drafts practical checks: which notes require times, who to CC, and how to title entries so the next shift finds them.

Automated Grading and Evaluation

Your AI-powered training tool can grade many types of learner responses automatically, far beyond simple multiple-choice scoring. Natural language processing models are capable of evaluating open-ended text responses, short essays, or even code snippets by comparing against expected answers or rubrics. This is particularly useful for large companies that need to assess thousands of learners efficiently and do it in a way that offers personalized feedback and recommendations.

Example:

“Log Clarity Review” scores anonymized handovers on completeness, clarity, and tone, then assembles examples you can use as ‘golden logs’ for new hires.

AI-Assisted Feedback and Coaching

Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.

Example:

The assistant scans draft public updates for plain, non-technical language and flags jargon before it escapes into the world—small edits that build trust.

Fairness and Consistency

AI-based assessment can also improve consistency in scoring and reduce human bias in evaluations. Every learner is judged by the same criteria, and AI models (when properly trained and tested) apply the rubric objectively. And, of course, there's always an option to validate AI-produced scores with periodic human review, especially for high-stakes evaluations, to maintain trust and accuracy.

Example:

Shared rubrics keep evaluations steady across sites and shifts. If one crew’s grading drifts, the system suggests a quick calibration using paired examples.

Let's discuss how you can benefit from AI-driven
assessments and intelligent feedback.
Predictive Analytics for Training Impact and ROI

Linking training efforts to business outcomes has long been a challenge for L&D. Today, AI-driven learning analytics are giving organizations new powers to measure and even predict the impact of training on performance metrics. By analyzing large datasets of learning activities and outcomes, AI can uncover patterns that help prove ROI and improve decision-making.

Predictive Analytics for Training Impact and ROI
Advanced Learning Analytics

Traditional training metrics (completion rates, test scores, satisfaction surveys) only tell part of the story. AI allows far deeper analysis by correlating learning data with business data. Organizations are deploying predictive analytics that ingest data from Learning Management Systems, HR systems, and operational KPIs to evaluate how training moves the needle on business goals.

Example:

Tie learning to signals that matter—clean handovers, fewer communication misses, and steadier schedules—so improvements show up in everyday reliability.

Predicting Training Needs and Outcomes

AI can not only look backward but also predict future training needs and outcomes. AI-driven analytics can even predict which employees might benefit most from certain training, or who might be at risk of low performance without intervention. This predictive capability helps L&D teams prioritize and tailor their initiatives for maximum impact.

Example:

Before peak season, the system flags crews whose log quality dipped and suggests a 15-minute refresher. It’s a nudge, not a nag, that keeps the basics strong.

Real-Time Dashboards and Reporting

Modern L&D analytics platforms infused with AI provide real-time dashboards that track training effectiveness. These might include sentiment analysis of learner feedback comments, anomaly detection (e.g., identifying if a particular course consistently yields poor post-test results, indicating content issues), and even natural language generation to summarize insights for L&D managers. The goal is to move beyond basic reporting to actionable intelligence.

Example:

Managers see a calm, one-page view: handover completion, open actions, upcoming communication checkpoints. It’s what you need before a walk-through.

Demonstrating ROI

AI-powered analytics capabilities feed into the bigger mandate of proving the value of training. AI helps by directly linking learning metrics to performance metrics. Companies can now estimate the dollar impact of closing a skill gap or predict how improving a certain skill through training will affect key business outcomes. This elevates L&D’s credibility in the eyes of executives.

Example:

Quarterly, you’ll get a short narrative that connects learning to fewer rework conversations, cleaner audits, and steadier schedules. It’s not heroic—it’s proof that small habits add up.

Let's discuss how predictive analytics
can drive your business outcomes.
Industry Fit Without Industry Friction
Upstream Operations
  • Strengthen shift logs and handovers without adding noise.
  • Rehearse community conversations that build trust.
  • See steadier operations through cleaner communication.
Midstream & Pipelines
  • Standardize policy-based updates and documentation.
  • Practice calm incident communications in scenarios.
  • Correlate training to fewer missed notifications.
Refining & Petrochemicals
  • Improve alarm-day discipline with practical sims.
  • Keep logs audit-ready with short, cited guidance.
  • Measure gains in handover quality and schedule stability.
Utilities & Power Generation
  • Help schedulers and ops speak the same simple language.
  • Practice dispatch notes that read cleanly later.
  • Track steadier blocks and fewer clarifying calls.
Renewables (Wind/Solar/O&M)
  • Align fleet notes and evidence photos across sites.
  • Run simple sims for surge days and curtailments.
  • Correlate training to availability and schedule clarity.
EPC & Project Delivery
  • Rehearse town-hall Q&A with respectful language.
  • Keep document trails clean with assistant prompts.
  • Show smoother pre-startup communications.
Field Services & Contractors
  • Standardize notes and handovers across crews.
  • Offer bite-size policy reminders on mobile.
  • Track fewer back-and-forth calls and clearer work packs.
LNG & Terminals
  • Practice calm, complete logs for complex operations.
  • Align shift language across multi-discipline teams.
  • Measure handover completeness and clarity trends.
Trading & Scheduling Desks
  • Build audit-friendly notes that don’t slow people down.
  • Rehearse stakeholder calls before the real ones matter.
  • Track steadier schedules and fewer clarifications.
HSE & Communications Teams
  • Improve public updates with clearer, non-technical language.
  • Coach respectful, factual town-hall answers.
  • Correlate training to trust and fewer re-explanations.
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