We also look at how you can leverage an LMS to track on-the-job training alongside elearning, and how we helped a high-profile client – Joby – to do exactly that in the high-consequence fields of both aviation and manufacturing.

In highly regulated industries, knowing the theory is rarely enough. Employees may need to demonstrate that they can apply procedures correctly, use specialist equipment safely and perform critical tasks under real working conditions.

This makes on-the-job training, often shortened to OJT, an essential part of workforce development. It also creates challenges that do not arise when training is delivered entirely through classroom sessions or elearning courses.

Organisations need to know not only whether someone has completed a course, but also whether they have been observed performing a task, who assessed them, which procedure was followed, whether the assessor was authorised and when the employee will need to be reassessed.

For organisations operating in areas such as aviation, manufacturing, healthcare and construction, these records may eventually need to withstand an internal investigation, customer review or regulatory audit.

A modern learning management system like the Totara Learn LMS can provide the structure needed to manage this more complex training environment. When configured around an organisation’s operational requirements, an LMS can bring formal learning, practical assessments, competency records and compliance reporting together within one auditable system.

What is on-the-job training?

On-the-job training is learning that takes place while an employee performs, practises or observes tasks within the real working environment.

Depending on the role, it may include:

• Shadowing an experienced employee
• Practising a procedure under supervision
• Operating machinery or specialist equipment
• Completing a practical demonstration
• Following a checklist or standard operating procedure
• Responding to a simulated workplace incident
• Being observed by a qualified assessor
• Receiving coaching and corrective feedback
• Demonstrating competence over several shifts or assignments
• Having practical skills formally signed off

OJT is particularly important where competence cannot be established through a written assessment alone. A learner might understand the correct sequence for inspecting a component, administering a treatment or operating a piece of equipment, but employers still need evidence that the person can perform the procedure safely and consistently.

Why managing OJT is more complex than managing conventional training

Classroom training and elearning generally follow a relatively predictable process. A learner is enrolled, attends a session or completes a course, takes an assessment and receives a completion record.

On-the-job training is more variable.

It may take place across multiple locations, involve different supervisors and require several observations before competence can be confirmed. The learner may need to complete prerequisite training, work under restrictions until authorised and repeat part of the process when equipment, regulations or procedures change.

Several additional questions therefore need to be answered (use these as a checklist):

• What practical task was completed?
• Where and when did it take place?
• Which version of the procedure was used?
• Who supervised or assessed the learner?
• Was that person qualified to carry out the assessment?
• What evidence was collected?
• Did the learner demonstrate full competence?
• Were any gaps or corrective actions identified?
• Is further supervised practice required?
• When does the authorisation or certification expire?

Without a structured system, answers can become dispersed across paper forms, spreadsheets, emails, local databases and individual managers’ records. This makes it difficult to obtain a reliable organisation-wide view of competence.

Managing OJT with audit trails in mind

In a regulated environment, recording that training “happened” is not enough. The organisation needs an audit trail that shows how competence was developed, assessed and approved.

A strong OJT audit trail should connect the employee to a specific task, assessor, standard, date and outcome. It should also retain any relevant evidence and show subsequent changes to the record.

Version control

Procedures change as equipment is upgraded, regulations evolve and organisations improve their working methods.

Training records should therefore identify which version of a procedure, checklist or competency framework was used during an assessment. Otherwise, an employee may appear qualified even though their training relates to an obsolete process.

When a significant change is introduced, the organisation may need to identify affected employees automatically and assign refresher training or reassessment.

Assessor competence

The credibility of an OJT record depends partly on the person approving it.

Organisations need to control who can assess particular tasks and confirm that evaluators hold the necessary qualifications, experience or internal authorisation. Their own certifications may also have expiry dates.

A suitable system should prevent, flag or report assessments carried out by people whose evaluator status is missing, inappropriate or no longer current.

Evidence of practical competence

Different tasks require different forms of evidence. A simple observation and digital sign-off may be sufficient for one activity, while another could require:

• A completed assessment checklist
• Written comments from the evaluator
• Photographs or documents
• Multiple successful observations
• Evidence collected on different shifts
• A final supervisor approval
• Remedial actions following an unsuccessful attempt

These records should remain connected to the learner’s training history rather than being stored separately.

Clear status definitions

Completion and competence are not always the same thing.

A learner may have completed the knowledge component of a programme but still be awaiting practical observation. Another employee may be permitted to work only under supervision, while a fully qualified colleague can work independently or assess others.

Useful status categories might include:

• Not started
• Theory training in progress
• Awaiting supervised practice
• OJT in progress
• Assessment required
• Further development required
• Competent under supervision
• Fully competent
• Authorised assessor
• Certification approaching expiry
• Reassessment required

These distinctions provide managers with a much more accurate picture than a simple completed or incomplete label.

Record retention

Training evidence may need to be retained for several years, including after an employee changes role or leaves the organisation.

Retention requirements will vary by industry, jurisdiction and type of record. The organisation should therefore define how long different forms of training evidence are kept, who can access them and how records are protected from inappropriate alteration.

Why classroom training alone is not sufficient

Classroom learning can be valuable for introducing regulations, explaining procedures and enabling discussion with an instructor. However, it cannot always demonstrate that a learner can perform a physical or operational task.

A classroom assessment may confirm that someone knows what they are supposed to do, but not that they can do it correctly under workplace conditions.

Practical competence can depend on factors such as:

• Using equipment confidently
• Following a procedure in the correct sequence
• Recognising hazards in the real environment
• Communicating with colleagues
• Responding to unexpected situations
• Maintaining accuracy under time pressure
• Applying judgement where a situation is not clear-cut

These capabilities need to be observed rather than inferred from attendance at a course.

Why elearning alone is not sufficient

Elearning is highly effective for delivering consistent information, preparing employees for practical activities and checking their understanding.

It can help learners understand safety rules, equipment, processes and decision-making before they enter a live working environment. Simulations and scenarios can also provide valuable opportunities to practise judgement without creating operational risk.

However, online training cannot fully replace practical experience where employees must interact with real machinery, patients, vehicles, materials, tools or workplace conditions.

The strongest approach is often blended learning:

1. Elearning introduces the required knowledge.
2. An assessment checks understanding.
3. The learner observes an experienced colleague.
4. The learner practises under supervision.
5. A qualified evaluator observes performance.
6. Evidence and feedback are recorded.
7. Competence is approved or further development is assigned.
8. Refresher training and reassessment are scheduled where required.

The challenge is making sure these stages form one connected training journey rather than a collection of disconnected activities.

Industries where OJT is essential

Manufacturing

Manufacturing employees may need to operate machinery, follow production processes, inspect components, handle hazardous materials and respond to equipment failures.

Although elearning can explain operating principles and safety requirements, practical competence must usually be demonstrated on the relevant equipment.

Manufacturers may also need to manage different requirements for individual sites, production lines, products and job roles. Changes to machinery or standard operating procedures can create an immediate need for retraining.

An LMS for manufacturing can help connect role-specific learning with practical competency records, certifications and detailed reporting.

Aviation and aerospace

Aviation is an especially high-consequence environment. Employees may work with complex aircraft systems, maintenance procedures, production processes and tightly controlled documentation.

Small deviations can have significant consequences, making consistent evaluation and reliable evidence particularly important.

Training teams may need to track practical tasks across sites, control evaluator permissions, manage changing procedures and demonstrate a clear line of accountability from training assignment to final authorisation.

Related: read another case study for this sector – an award-winning LMS for JetBlue Airways.

Construction and engineering

Construction workers frequently need to demonstrate competence in the use of tools, vehicles, lifting equipment and specialist machinery. They may also need practical training in working at height, confined spaces, isolation procedures or emergency responses.

The workforce can be spread across temporary sites and may include employees, agency workers, contractors and subcontractors. This makes it difficult to maintain a current view of who is qualified to perform each activity.

Mobile access and centralised competency records can help managers verify training before assigning people to safety-critical work.

Healthcare and social care

Healthcare professionals must apply knowledge while working with patients, equipment and clinical procedures.

OJT may cover activities such as infection control, medication processes, use of medical equipment, moving and handling, safeguarding and emergency response. Competence may need to be observed several times and approved by an appropriately qualified practitioner.

The system also needs to accommodate different professions, departments, locations and scopes of practice while protecting sensitive information.

Medical devices and life sciences

Employees working with medical devices, pharmaceuticals and other life science products may need practical training in production, inspection, documentation, quality control and equipment use.

Training must often align with controlled procedures and quality management systems. When a procedure changes, organisations need to determine who is affected and provide evidence that the new version has been understood and applied.

Related: read our case study for leading MedTech company, Medtronic.

Energy and utilities

Energy workers may operate in high-risk environments involving electrical systems, hazardous substances, heavy equipment and remote infrastructure.

Practical authorisation can depend on role, location, equipment type and previous experience. Some tasks require periodic reassessment, while others may only be performed under specific supervision.

Transport and logistics

Drivers, warehouse employees, maintenance teams and ground operations staff all perform tasks that cannot be mastered through theory alone.

Practical training may cover vehicle inspections, loading, manual handling, hazardous goods, warehouse equipment, route procedures and incident response. Organisations need to connect these assessments with licence information, certifications and role permissions.

Food production and processing

Food manufacturers must train employees to follow hygiene, allergen, quality and production procedures consistently.

Elearning can communicate the rules, but supervisors may still need to observe whether employees wash, handle, clean, record and respond correctly within the production environment.

How a modern LMS can support on-the-job training

Many LMS platforms were originally designed around online course completion. Highly regulated organisations need a broader learning environment capable of tracking knowledge, experience, observation and competence.

A flexible platform such as Totara Learn LMS can be configured and extended to support blended programmes in which elearning and OJT contribute to the same learning record.

Role-based learning pathways

Employees can be assigned different training requirements according to their role, department, location, equipment or level of responsibility.

A pathway might combine:

• Online induction
• Compliance courses
• Classroom sessions
• Reading assignments
• Supervised practice
• Practical observations
• Manager approval
• Certification
• Scheduled reassessment

This gives learners and managers a clear view of what has been completed and what still needs to happen.

Prerequisite management

The LMS can help ensure that employees complete the required knowledge or safety training before beginning a practical activity.

For example, an employee might need to pass an online assessment before being eligible for supervised equipment training. They may then need to complete several observations before being authorised to work independently.

Digital observations and sign-offs

Supervisors can record practical assessments digitally instead of relying on paper forms or separate spreadsheets.

Depending on the configuration, they may be able to select an outcome, complete a checklist, add comments, upload evidence and approve the learner’s competency record.

Evaluator controls

Permissions can be used to determine which evaluators are allowed to assess specific competencies, teams or locations.

The organisation can also track the evaluator’s own training status and qualifications, helping to establish confidence in the assessment process.

Competency frameworks

Practical tasks can be mapped to role-based competency frameworks.

This makes it possible to see whether an employee is ready for a particular responsibility, identify gaps across a department and plan development for future roles.

Automated reminders and recertification

Where a practical qualification expires, the LMS can issue reminders and assign refresher activities or reassessment.

Managers can see upcoming expiries before they affect workforce availability, rather than discovering the problem when an employee is due to begin a task.

Dashboards and exception reporting

Managers do not always need another long completion report. They need to know where intervention is required.

Useful dashboards can highlight:

• Employees awaiting practical assessment
• Overdue observations
• Unsuccessful assessments
• Qualifications approaching expiry
• Learners working under supervision
• Teams with competency gaps
• Employees affected by a procedural change
• Assessors whose qualifications are expiring

This exception-based approach helps managers concentrate on risk.

Integration with HR and operational systems

Employee records can change frequently as people join, move between roles, transfer sites or leave the organisation.

Connecting the LMS with an HR system can automate enrolments and keep organisational information current. In some environments, learning records may also need to connect with quality, workforce planning or operational systems.

Audit-ready reporting

A well-configured LMS can provide a consolidated record showing:

• What training was assigned
• What the learner completed
• Which practical tasks were observed
• Who carried out the assessment
• When the assessment took place
• Which standard or procedure applied
• What evidence was collected
• Whether competence was approved
• When reassessment is due

This supports internal governance and makes it easier to respond to audits, customer enquiries and regulatory reviews.

Webanywhere’s compliance training LMS solutions are designed to help organisations automate and manage training, certification and recertification within a scalable learning environment.

Joby Aviation: managing OJT through Totara LMS

Joby Aviation is developing electric vertical take-off and landing aircraft and operates in a fast-moving aerospace environment where operational readiness and technical competence are critical.

As its technical operations scaled, Joby needed a more structured, accountable and traceable system for managing on-the-job training.

Its requirements included the ability to:

• Track hands-on training across different locations and teams
• Standardise how technical competencies were evaluated
• Manage version control as procedures evolved
• Control and monitor evaluator qualifications
• Track learner progress
• Maintain reliable audit trails for compliance and accountability

Webanywhere worked with Joby’s learning and development team to implement Totara LMS and enhance it with a custom-developed OJT plugin.

The resulting solution provides a clearer, centralised view of training for both compliance and workforce performance. It brings Joby’s elearning and practical training into a blended learning environment aligned with real operational requirements.

Read the full Joby Aviation on-the-job training case study.

Why custom LMS development can be important for OJT

Every organisation has its own definition of competence.

The number of observations required, assessment criteria, evaluator roles, approval stages and supporting evidence can vary considerably. Highly specialised organisations may find that the standard functionality of an off-the-shelf LMS does not reflect their operational process.

Custom development can bridge the gap between a general learning platform and the way work is actually carried out.

This might involve creating:

• Bespoke observation forms
• OJT workflows
• Evaluator dashboards
• Digital competency sign-offs
• Evidence-upload functionality
• Supervisor approval stages
• Role-specific status definitions
• Connections with controlled procedures
• Specialist reports
• Integration with operational systems

The objective should not be to reproduce an inefficient paper process digitally. It should be to create a controlled, usable workflow that improves visibility while reducing unnecessary administration.

Good practices for implementing an OJT management system

Start with the operational process

Before configuring the technology, map how employees currently move from initial learning to supervised practice and independent authorisation.

Identify where evidence is created, who approves each stage and what happens when an employee does not yet meet the required standard.

Define competence clearly

Assessment criteria should be observable and specific. Terms such as “understands the process” can be interpreted differently by different evaluators.

Where possible, define what successful performance looks like and what evidence is required.

Separate course completion from authorisation

Completing a learning activity should not automatically grant permission to perform a safety-critical task.

The system should distinguish between knowledge completion, supervised practice, demonstrated competence and formal authorisation.

Standardise without removing professional judgement

Checklists can improve consistency, but evaluators may also need space to record context, feedback and concerns.

The system should support informed professional judgement while ensuring that essential criteria are always addressed.

Make the process accessible at the point of work

Supervisors are less likely to record assessments promptly if they have to return to an office, locate a spreadsheet or complete a complicated administrative process.

Mobile-friendly workflows can allow observations to be recorded closer to the point at which they take place.

Plan for unsuccessful assessments

A learner who does not yet demonstrate competence should not simply receive a failed status.

The system should support feedback, further practice, corrective actions and reassessment while retaining the history of the earlier attempt.

Review reports with operational managers

Learning and development teams should work with operational, compliance and quality leaders to define the reports they need.

This ensures the LMS provides information that supports workforce decisions rather than only reporting course completion rates.

Building an audit-ready blended learning environment

On-the-job training is essential wherever employees must translate knowledge into safe and reliable performance.

In highly regulated industries, managing this training requires more than paper sign-offs or isolated spreadsheets. Organisations need to control prerequisites, procedures, assessors, evidence, competency status, certification and reassessment while maintaining a complete audit trail.

A modern LMS can provide the central structure for this blended approach. With the right configuration and custom development, it can connect elearning, classroom activities and workplace assessment within one coherent record.

As demonstrated by Webanywhere’s work with Joby Aviation, extending Totara LMS with functionality designed specifically for OJT can give organisations greater visibility over technical competence, compliance and operational readiness.

Learn more about Totara Learn LMS from Webanywhere, explore Webanywhere’s manufacturing LMS solutions or discover how an LMS can support compliance training and certification management.

Could we help you with a custom solution to manage on-the-job training? Contact us at Webanywhere.

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Across workplaces, staff are already using AI tools to write emails, summarise meetings, generate reports and answer questions. But inside learning and development teams, a bigger question is emerging:

What happens when AI is used not just to consume information, but to create and share knowledge across an organisation?

That was the focus of a recent webinar hosted by Totara where speakers explored how AI functionality inside the platform could help organisations move beyond traditional top-down learning models.

The message was clear: the future of workplace learning may depend less on creating more courses, and more on unlocking the expertise that already exists inside businesses.

The bottleneck facing learning teams

For years, most workplace learning has followed the same pattern.

A central L&D team creates courses. Staff complete them. Updates are requested. Compliance changes arrive. New training needs appear. The cycle repeats.

The problem is scale.

Many learning teams are small, stretched and constantly reacting to new demands. Valuable expertise often sits elsewhere across the organisation – with engineers, managers, sales teams, healthcare professionals or frontline staff – but turning that knowledge into structured learning has traditionally taken time.

As one speaker explained during the session:

“We don’t really have a knowledge problem. We have a capture and sharing problem.”

That challenge has become even more visible as organisations move faster and information changes more frequently.

Instead of waiting for formal training, employees often turn to colleagues directly through messaging platforms, informal chats or shared documents. While effective in the short term, this creates new pressures on experienced staff and makes knowledge difficult to scale consistently.

AI as a “co-pilot”, not a replacement

One of the strongest themes throughout the webinar was that AI is not being positioned as a replacement for learning teams.

Instead, the technology is being presented as a support tool – helping subject matter experts contribute knowledge more quickly and confidently.

Inside the Totara Learn LMS, AI tools can assist users in generating draft content, summarising long passages, creating knowledge checks and even producing supporting imagery.

The idea is simple.

Someone with expertise may not have the time, confidence or writing ability to build polished learning materials from scratch. AI can reduce that friction by turning a blank page into a starting point within seconds.

Rather than expecting L&D teams to create everything themselves, organisations can begin enabling contribution at scale.

Turning learners into creators

The webinar repeatedly returned to a broader shift in mindset.

Traditionally, learners consume content.

But AI opens the possibility for learners to become contributors as well.

That could mean:

• Sharing practical insights
• Creating quick resources
• Building draft learning materials
• Improving existing content
• Generating summaries or quizzes

In practice, this changes the role of the learning team.

Instead of acting solely as content creators, L&D professionals increasingly become facilitators, reviewers and quality managers – helping shape and govern learning created across the organisation.

The speakers argued that this approach could lead to faster knowledge sharing and more relevant learning experiences because the information comes directly from people applying it in real-world situations.

Faster content creation

One demonstration during the webinar showed how AI tools inside Totara can generate draft learning content from short prompts.

Users can ask the platform to create introductory material, expand ideas, summarise text or rewrite sections in different styles.

The aim is not necessarily to publish AI-generated text untouched.

Instead, the generated content acts as a first draft – something experts can refine, improve and personalise.

For many organisations, that could significantly reduce the time required to create or update learning resources.

This becomes particularly important in areas such as:

• Compliance training
• Policy updates
• Product knowledge
• Operational procedures
• Healthcare guidance
• Technical documentation

Where information changes regularly, speed matters.

Knowledge checks and engagement

Another feature highlighted was AI-assisted “knowledge checks”.

Users can upload documents or text-based resources, and the platform can automatically generate quizzes or understanding checks based on the material.

The purpose is less about formal assessment and more about reinforcing learning and encouraging engagement.

It also provides organisations with a lightweight way of confirming whether employees have interacted with key information – something increasingly important in regulated industries.

A wider change in workplace learning

Perhaps the most significant takeaway from the session was not the technology itself, but what it represents.

For years, organisations have struggled to scale internal knowledge effectively.

AI may finally offer a practical way to lower the barrier between expertise and learning.

If implemented carefully, that could help businesses:

• Share knowledge faster
• Reduce pressure on L&D teams
• Capture expertise before it is lost
• Encourage collaborative learning
• Keep training more up to date
• Increase learner engagement

There are still questions around governance, quality control, privacy and accuracy. Even the webinar speakers stressed the importance of human oversight.

But the direction of travel is becoming increasingly clear.

The organisations that succeed with AI learning tools may not simply be the ones creating more content.

They may be the ones that make it easiest for people to share what they already know.

Want to leverage AI for workplace learning? Contact us at Webanywhere for an informal discussion about your needs and goals.

The post How AI is Changing Workplace Learning on Totara appeared first on Webanywhere.

In 2026, artificial intelligence is no longer a future concept. It is embedded in everyday life, shaping how we learn, work, and interact with the world.

Yet while AI adoption has accelerated, understanding has not kept pace. A significant gap exists between using AI tools and truly understanding the principles, ethics, and implications behind them.

Forward-thinking organisations recognise that closing this gap is not just an educational challenge. It is a strategic responsibility.

This initiative addresses that challenge directly, equipping the next generation with the knowledge and critical thinking skills required to engage with AI responsibly, ethically, and confidently.

The Challenge: From AI Usage to AI Understanding

Across schools and learning environments, AI is increasingly visible but rarely explained in depth. Young learners are interacting with intelligent systems without the frameworks needed to question, interpret, or evaluate them.

Without early intervention:

• AI becomes a “black box” rather than a tool to be understood
• Ethical considerations are overlooked or misunderstood
• Critical thinking skills are underdeveloped in relation to emerging technologies

To build a future workforce that can use AI responsibly, education must evolve now.

The Initiative

This project bridges the gap between advanced academic research and real-world classroom delivery.

It is a university research-led initiative designed to future-proof AI literacy for primary-age learners, combining rigorous research with engaging, accessible learning experiences.

The focus is on active learning, ensuring that children do not just consume information, but interact with concepts, question outcomes, and develop their own understanding of how AI works and why it matters.

The Three Pillars of the Project

1. Research-Backed Frameworks

At the core of the initiative is a robust academic foundation.

Developed in collaboration with a leading UK university known for its excellence in computing, data science, and human-centred technology research, the programme is grounded in:

• Proven pedagogical methodologies
• Ethical neutrality and balanced perspectives
• Current research into AI systems and societal impact

This ensures that learning is not only engaging, but accurate, credible, and future-facing.

2. Scalable Classroom Delivery

Translating complex AI concepts into formats suitable for young learners is a critical challenge.

This initiative solves that through:

• Interactive, scenario-based learning experiences
• Age-appropriate storytelling and simulations
• Digital-first delivery designed for modern classrooms

The result is a scalable model that can be deployed across schools, regions, and education systems without compromising quality or consistency.

3. Verifiable Impact

Unlike many education initiatives that rely on anecdotal success, this project is built around measurable outcomes.

Sponsors and stakeholders benefit from:

• Quantifiable improvements in ethical literacy
• Data-driven insights into learner engagement and comprehension
• Clear evidence of behavioural and cognitive development

This focus on impact ensures accountability and supports continuous improvement.

Academic Excellence Behind the Initiative

The university partner behind this project is recognised as one of the UK’s leading institutions, with a strong reputation for innovation in technology and interdisciplinary research.

Its credentials include:

• International recognition for computing and data science programmes
• Pioneering research in artificial intelligence, ethics, and digital society
• A track record of translating academic insight into real-world applications
• Strong links with industry, ensuring relevance beyond academia

This combination of academic rigour and practical relevance provides a powerful foundation for the initiative, ensuring that learners benefit from insights at the forefront of technological advancement.

Why Partner with Webanywhere

As a leading provider of digital learning solutions, Webanywhere plays a critical role in transforming research into impactful learning experiences.

Expertise in Digital Learning Innovation

Webanywhere brings deep expertise in:

• Learning management systems, including Totara Learn
• Scalable eLearning delivery across sectors
• User-centred design for engaging, accessible learning

This ensures that complex ideas are delivered in ways that resonate with modern learners.

Bridging Research and Real-World Application

Where academic institutions generate insight, Webanywhere ensures it can be applied at scale.

Their role includes:

• Designing interactive learning experiences based on research frameworks
• Ensuring usability and accessibility for diverse learner groups
• Supporting deployment across educational environments

This bridge between theory and practice is essential for meaningful impact.

Proven Track Record with Large-Scale Learning Initiatives

Webanywhere has delivered learning solutions for global organisations, educational institutions, and public sector bodies.

Their experience includes:

• Managing large user populations across multiple regions
• Delivering measurable learning outcomes
• Supporting long-term digital transformation strategies

This makes us an ideal partner for initiatives that require both innovation and reliability.

A Collaborative Vision for the Future

This initiative represents more than a single project. It is a model for how academia, technology providers, and forward-thinking organisations can work together to shape the future of education.

By combining:

• Academic excellence
• Innovative learning design
• Scalable technology

it creates a pathway for embedding AI literacy at the earliest stages of learning.

Get Involved

Organisations that lead in AI have an opportunity to shape how it is understood by the next generation.

By supporting initiatives like this, you can:

• Contribute to responsible AI adoption
• Support measurable improvements in education
• Align your organisation with innovation and ethical leadership

To explore partnership opportunities or learn more about how this initiative can be delivered at scale, contact Webanywhere today.

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