×

Custom Training Solutions

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:

A microlearning module guides learners through a realistic pump swap during a busy shift. It demonstrates how isolation, permits and verification procedures work together, highlights potential delays and underscores the importance of concise radio updates. The short, practical session is designed for workers to watch during a break.

Engaging Scenarios
Engaging Scenarios

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

Example:

An engaging scenario places learners in a situation where a maintenance window is closing, stakeholders want to extend operations and alarms have been active. Participants decide whether to stop or proceed, determine whom to inform and practice delivering a clear handover. The scenario illustrates how pausing to assess can safeguard people and production.

Tests and Assessments
Tests and Assessments

Quizzes and evaluations that measure understanding and track progress.

Example:

A test uses simplified piping and instrumentation diagrams to teach learners to recognize valves, instruments and flow paths. Participants identify components from drawings, and the assessment immediately links each symbol to its corresponding equipment to reinforce learning.

Personalized Learning Paths
Personalized Learning Paths

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

Example:

A personalized learning path adjusts content based on role. Operators learn smooth shift turnovers and proper logging. Maintenance teams practice using work packs, documenting isolation steps and attaching evidence photos. Health, safety and environment staff focus on clear, respectful incident reporting. Renewable energy teams learn string checks and fleet monitoring, while traders and schedulers practice writing concise, context‑aware notes.

Performance Support Chatbots
Performance Support Chatbots

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

Example:

A performance support chatbot helps workers after a shift by answering questions such as which checklist applies to a task, what information should be logged and who should be notified. It references company procedures and offers ready‑made notes for logbooks or work orders, promoting consistent and safe practices.

Online Role-Plays
Online Role-Plays

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

Example:

An online role‑play allows project teams to practice responding to community questions about noise, traffic and project timelines. A virtual avatar poses realistic questions, and participants practice providing transparent, respectful answers. Feedback highlights phrases that build trust versus those that may seem defensive.

Compliance Training
Compliance Training

Structured programs that ensure employees meet regulatory and organizational standards.

Example:

A compliance training module teaches front‑line staff how to accurately log activities, send timely notifications and use clear wording when reporting environmental data. It provides examples of policy‑compliant language and simple habits that help maintain data quality and meet regulatory requirements.

Situational Simulations
Situational Simulations

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

Example:

A situational simulation recreates a chaotic day with frequent alarms, allowing teams to practice prioritising tasks, documenting incidents and communicating calmly. Participants learn when to request assistance, how to structure updates and how to write clear shift notes, focusing on good habits rather than formal procedures.

Upskilling Modules
Upskilling Modules

Targeted courses designed to expand knowledge and build new competencies.

Example:

An upskilling module explains in straightforward language how operations such as gas plants, pipelines and wind or solar fields connect to energy markets. It covers concepts like day‑ahead and real‑time markets, curtailment and the importance of clear operational notes for schedulers. Understanding the market context helps operational decisions align with business goals.

Problem-Solving Activities
Problem-Solving Activities

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

Example:

A problem‑solving activity presents a trend chart, a timeline and log excerpts from an alarm flood. Mixed teams collaborate to write a concise summary of events and agree on small improvements to implement the next day, demonstrating that continuous improvement comes from shared, incremental changes.

Collaborative Experiences
Collaborative Experiences

Group learning opportunities that encourage teamwork and knowledge sharing.

Example:

A collaborative experience guides cross‑functional teams through a practice run of a pre‑startup huddle, focusing on communication and documentation rather than equipment. Participants rehearse who speaks and when, and how information should be recorded in logs, so that the actual pre‑startup day runs smoothly and safely.

Games & Gamified Experiences
Games & Gamified Experiences

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

Example:

A gamified handover exercise uses a bingo‑style card where each square represents a best practice such as noting status, pending permits, outstanding work, names and times. Teams compete to complete their cards while completing thorough, accurate handovers, making the activity engaging and reinforcing good habits.

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:

An AI assistant provides succinct, referenced answers to questions about policies and procedures, such as handover requirements, log entry wording, notification chains and where to find documents. It directs users to the proper procedures without offering technical advice.

Example Solution 24 7 Learning Assistants illustration
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:

An AI‑powered writing coach reviews short shift notes, pointing out what is clear, what information is missing and suggesting a stronger opening sentence. The feedback is concise and practical, similar to guidance from an experienced supervisor.

Example Solution Feedback And Coaching illustration
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:

A role‑play tool allows schedulers to practice delivering updates to market partners or grid operators. They practice stating clearly what they know, what they don’t know and when they will provide follow‑up information, helping them maintain composure during real calls.

Example Solution Scenario Practice And Role Play illustration
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:

An AI system generates quizzes from updated communication standards. It creates questions on practical matters such as which notes require time stamps, who should be copied and how to title entries so that the next shift can easily find them.

Example Solution Auto Generated Quizzes And Exams illustration
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:

An automated tool reviews anonymized handover logs for completeness, clarity and tone. It provides scores and compiles high‑quality examples that can be used as training references for new employees.

Example Solution Automated Grading And Evaluation illustration
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:

An AI assistant reviews draft public communications to ensure they use clear, non‑technical language. It highlights jargon and suggests simpler alternatives, helping build trust with stakeholders.

Example Solution Ai Assisted Feedback And Coaching illustration
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 evaluation criteria ensure consistent grading across sites and shifts. The system monitors for deviations in scoring and provides paired examples for reviewers to recalibrate their assessments.

Example Solution Fairness And Consistency illustration
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:

Advanced learning analytics connect training to operational metrics such as the quality of handovers, the frequency of communication errors and schedule stability. By linking learning to these signals, the analytics demonstrate how training improves daily performance.

Example Solution Advanced Learning Analytics illustration
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:

Predictive models identify teams whose update practices have declined before peak periods and recommend a brief refresher session. This timely reminder helps maintain high standards.

Example Solution Predicting Training Needs And Outcomes illustration
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:

Real‑time dashboards provide managers with a concise overview of handover completion, outstanding tasks and upcoming communication checkpoints. This summary helps prepare for shift walk‑throughs.

Example Solution Real Time Dashboards And Reporting illustration
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 reports illustrate how training has reduced rework, improved audit outcomes and stabilized scheduling. The focus is on the cumulative impact of small changes rather than dramatic achievements.

Example Solution Demonstrating Roi illustration
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.
What Challenge Can We Help You Solve?
Send message