Across five client stories shared earlier this year at LRMG’s Southern Africa Summit 2026, a consistent theme surfaced: learning platforms create more value when access is connected to work, guidance, adoption support, skills data and evidence of progress.
In our work with clients across Africa, scaling workplace learning has become a practical business pressure for HR, L&D and Talent teams. They need to build skills faster, reach more people and show where learning is strengthening capability but many do still find themselves grappling with how to help their people find the right learning, connect it to their roles and apply it in ways the business can see.
This article draws on client stories across technology, logistics, engineering and construction, financial services and banking. Together, they show what happens when organisations use digital learning platforms not only as a way to access content, but as part of a more deliberate approach to building workforce readiness. These stories came from leaders working through real implementation questions, not abstract learning theory.
For a deeper look at the speaker presentations, access the LRMG Southern Africa Summit 2026 presentation downloads here.
The same thinking sits behind Ready for AI skills at scale? Playbook. A 5-question playbook for HR, L&D and Talent leaders who want to make sure AI learning is visible, relevant, supported and measurable before they scale it further.
Learning works harder when it follows the work
Learning platforms deliver more value when the organisation is clear about the problem learning needs to help solve. The problem may differ by organisation, but the principle is the same: learning works better when it is connected to the work people need to do.
When the problem is clear, the learning strategy becomes easier to shape. Teams can see which audiences should be prioritised, which capabilities need attention first and what progress should look like. Employees can also see why learning is important, because it links to the work they are expected to do.
Client story: Technology sector
One of our clients in the technology sector described this shift well. The business was working in complex project environments where technology changed rapidly, and delivery pressure was high. At first glance, the need looked technical. But when the organisation looked more closely, the capability picture was broader.
Teams needed technical depth, but they also needed stronger communication, leadership, collaboration, analytical thinking and decision-making.
That changed the learning conversation. Course completion was still useful, but it was no longer enough. The client started looking for evidence of stronger capability in the work itself, including clearer requirements, stronger technical decisions, better collaboration and more confident teams.
In one example, technical learning helped a support specialist move from reacting to issues to recognising patterns and helping prevent problems. In another, communication and stakeholder skills helped an engineer contribute more meaningfully to project discussions.
Too much content can make learning harder to start
A strong learning platform gives people choice. That is valuable.
But too much choice, without enough guidance, can slow people down.
Employees may be willing to learn but are unsure of where to begin. They may not know which content is most relevant to their role. They may start a course, stop halfway, move to another topic or wait for their manager to tell them what matters.
That is not only a learner motivation problem. It is often a learning experience problem.
People still need choice, but they also need a clear place to start.
Client story: Logistics
This came through strongly in conversation with a client operating in the logistics environment. Employees were spread across multiple sites; operational demands were high and time away from work was limited. Digital learning became essential because traditional classroom training could not carry the full skills need on its own.
The client saw stronger learner motivation when content was curated around people’s roles, priorities and development goals.
The organisation used curated playlists, monthly themes and role-relevant learning to help employees find useful content faster. Learning was linked to practical priorities such as leadership, operational excellence, wellbeing, sustainability and capability development.
For employees in operational roles, time to learn is limited. They don’t want to spend it searching for the right content. They need learning that is easy to find, quick to access and clearly useful in their day-to-day work.
This is where learning experience design becomes important. The work is not only to provide the content. The work is to make the route through the content easier to follow.
A platform launch doesn’t build a learning culture
A learning platform can make learning available. It cannot, on its own, make learning part of the culture. That work needs ownership, communication and follow-through.
The organisations seeing stronger results are deliberate about involving the right stakeholders early on in the process. They clarify what success should look like, communicate before and after launch, review the data, listen to feedback and adjust when something is not working.
Client story: Engineering and construction
An engineering and construction client explained the impact of stakeholder alignment and contribution in their environment. Before its learning platform was implemented, learning was fragmented, manual and difficult to track. Access was inconsistent, training requests were often ad hoc and there was little visibility of progress.
The organisation decided not to treat the platform rollout as a simple switch-on.
It aligned stakeholders early, launched in phases, provided practical navigation support and linked learning to individual development conversations. Users were guided, monitored and supported beyond go-live.
Their approach reflected something many organisations learn quickly. A once-off launch rarely creates adoption.
People need reminders, guidance, expectations and follow-through. Learning platforms make access possible, but communication, leadership support and ongoing enablement help learning become part of day-to-day work.
Generic AI learning will not meet different work realities
There is value in giving everyone a shared AI foundation.
People need to understand what AI is, what generative AI can and cannot do, where risks may sit, and what responsible use looks like inside the organisation. A shared foundation helps create common language, especially in organisations where team members have different levels of confidence.
From there, the learning needs to become more specific.
Executives, managers, frontline employees, technical specialists and functional teams will not use AI in the same way. They should not be expected to learn it in the same way either.
Leaders need to understand how AI could shape strategy, operating models and workforce planning. Managers need to know how to guide teams, set expectations and coach good judgement. Employees need practical confidence to use AI tools safely for everyday tasks. Technical teams may need deeper pathways linked to data, security, automation or development.
Many organisations lose momentum at this point because the learning does not align closely enough to the work.
AI skills readiness becomes more useful when learning is shaped around roles, decisions and real work. In other words, ‘AI for everyone’ should mean a shared starting point, followed by role-based pathways that help people apply AI where it matters most. That is where the training begins to build the capability.
The best data helps L&D see what to do next
One of the clearest shifts we’re seeing is the move from learning consumption to skills visibility.
For many years, organisations measured learning mainly through activity: registrations, completions, time spent and course uptake. These measures are still important, but on their own they don’t tell leaders enough about capability.
Leaders want to see where confidence is growing, where capability gaps remain and which groups may need more targeted support. When this data is visible, it helps L&D teams move from reporting activity to making better development decisions.
Client story: Logistics and Skills Benchmarks
A logistics client gave a practical example after conducting skills benchmarking across key commercial roles. The organisation used Skillsoft Skill Benchmarks to understand current capability, identify role-based gaps and shape more targeted development.
Instead of only asking whether learning was happening, the team could ask where skills were growing, where gaps remained and which groups needed more support next.
That same shift showed up in two financial services environments.
One organisation tracked progress over a five-year learning journey, including adoption, active users, learning hours, badges earned and curated courses. The value of the platform wasn’t measured through completion alone. It was also connected to employee experience, productivity, customer experience, internal talent growth and business outcomes.
Client story: Financial services and banking
From the banking sector, a client reported improvements in adoption, learning uptake and completion, alongside strong learner application and positive experience scores. It also used Skill Benchmarks and reassessments to show proficiency improvement.
For L&D teams, this is where platform data becomes more than a reporting layer. The data isn’t only there to prove that people completed something. It helps teams see what to promote, where to simplify, where to deepen learning and where managers could support workplace application.
The shift: from scaling workplace learning to building workforce readiness
The organisations getting more value from digital learning platforms are not treating them as content libraries. They are connecting learning to the work, guiding people to useful starting points, creating ownership around adoption, using skills data to guide decisions and looking for evidence that learning is being applied.
As Omri Yaari, Managing Director of LRMG South Africa, observes:
“The real value of a learning platform is not in access alone. It comes from how deliberately the organisation aligns learning to business priorities, guiding people towards the skills they need to perform in their roles, supporting adoption and measuring how capability developed is translating into performance.”
This is where African organisations are making meaningful progress with scaling workplace learning. They are not only scaling access. They are creating clearer routes through learning, with the support, data and practical application needed to build skills people can use.
Scaling workplace learning works best when access is connected to guidance, ownership, skills data, practice and evidence of progress. The same principle applies when AI skills become an organisation-wide priority.
Download the Ready for AI skills at scale? Playbook to pressure-test whether your AI skills plan has enough clarity across five areas: skills visibility, learning relevance, practice and application, adoption support and proof of progress.
The playbook gives HR, L&D and Talent leaders a practical way to see what they know, what they may be assuming and what may need more structure before AI learning grows too quickly.
Download the Ready for AI skills at scale? Playbook.
Explore how LRMG and Skillsoft can help you build more focused, relevant and measurable learning experiences across your workforce.
You can also access the LRMG Southern Africa Summit 2026 presentation downloads here.
Frequently Asked Questions (FAQ)
What does scaling workplace learning mean?
Scaling workplace learning means helping more people build the skills they need across teams, roles, regions or business units. It is not only about giving employees access to more content. It is about making learning relevant, guided, supported and measurable, so people can apply new skills in the work they do every day.
Why is learning platform access alone not enough?
Learning platform access gives people a place to learn, but it does not always help them know where to start, what is relevant or how the learning connects to their role. To create value, organisations need clear priorities, guided learning experiences, manager support and useful data that shows whether learning is moving into work.
How can digital learning platforms support skills development at scale?
Digital learning platforms can support skills development at scale by giving employees access to relevant content, recommended learning, skills assessments, practice opportunities and progress data. They work best when the platform is connected to business priorities, clear learning routes and an adoption approach that helps people keep learning and applying new skills.
- By Francis Karingi Nduta, Managing Director & Senior Partner, LRMG Africa
Based in Nairobi, Kenya, Francis works with organisations across the African continent to connect workforce readiness, leadership, learning strategy and technology-enabled capability building to business performance.
