LATERAL (Pty) Ltd

Transportation and logistics organisations often believe their primary workforce challenge is compliance delivery at scale. In practice, the bigger issue is operational visibility. As workforces become more distributed across regions, shifts, contractors, and operational units, many organisations are increasing mandatory learning, governance controls, and reporting requirements in an attempt to strengthen operational assurance. These activities are measurable and defensible, which is why they often become the default response. But completion reporting does not necessarily tell operational leaders whether teams are actually ready to perform consistently in complex, fast-moving environments. This is where platforms such as Totara are starting to play a different role. Instead of functioning purely as learning administration systems, they are increasingly being used to support workforce coordination, onboarding visibility, competency oversight, and operational readiness across distributed operations. The shift matters because transportation and logistics organisations are under growing pressure to scale workforce capability without creating proportional increases in operational friction or administrative overhead. In this week’s Totara Thursdays article, we explore how organisations across airlines, rail, and multi-region transport operations are approaching this challenge in practice. 🔗 Read the article here → https://lnkd.in/dTrb7aTp

Government organisations often believe they have a training problem when the deeper issue is workforce visibility. Compliance activity may be happening across departments, certifications may be completed, and reporting may appear acceptable on paper. But once organisations need clear visibility into workforce readiness across distributed teams, recurring compliance cycles, and changing operational structures, many conventional approaches begin to break down. This is where the conversation around Totara becomes more strategic. The strongest government use cases are not centred on delivering more learning content. They focus on improving operational visibility, reducing governance friction, and helping managers understand workforce readiness in real time. In practice, this means moving beyond periodic compliance reporting toward continuously visible capability and accountability workflows. That shift matters because course completion does not automatically equal operational readiness. Organisations need systems that help connect learning, compliance, performance, and operational risk in ways that support better workforce decisions over time. 🔗 We unpack this further in this week’s Totara Thursdays article → https://lnkd.in/dZccCBka

Most businesses already understand value chains. Inputs move through connected activities until measurable outcomes are created. Raw materials become products. Products become revenue. Services become retention. So here is the uncomfortable question for L&D. If capability exists to improve performance, why do we still manage learning as a collection of events instead of a system of value creation? Of course, human capability does not develop in neat, linear steps. Learning is messy. Confidence grows and dips. Context changes. Performance improves, stalls, and sometimes regresses. But even when human development is non-linear, value can still build through connected stages. Learning creates knowledge. Skills turn knowledge into competence. Capability applies that competence in context. Performance makes it visible. Business impact makes it measurable. That is not a learning journey. It is value chain logic. And if value is being created across the chain, evidence should exist across the chain too. So perhaps the real maturity question for L&D is no longer how many people completed. It is this. Where in your value chain does evidence stop, and assumptions begin? 🔗 We discuss this value chain logic in our latest blog post here → https://lnkd.in/dr-k4Gtf

AI is showing up everywhere in learning right now, and most platform conversations sound familiar. AI writing. Smarter recommendations. Automated tagging. Image generation. Goal support. On the surface, it can feel like the real question is simply which platform has the most AI features. Totara takes a different approach. Across the Totara Suite, AI can help learning teams create course content faster, generate supporting images, organise resources automatically, surface more relevant learning, support stronger goal setting, and reinforce learning through low-friction knowledge check-ins. Just as importantly, these capabilities remain permission-based, customer-controlled, auditable, and aligned to approved AI environments. That changes the conversation. Because the moment Totara’s AI starts interacting with real learning pathways, performance frameworks, manager workflows, and content libraries, something deeper becomes visible. AI does not create organisational maturity. It exposes it. Weak metadata. Duplicate content. Unclear ownership. Inconsistent follow-through. Gaps that were already there become much harder to hide. This matters because learning activity is not the same as capability, and capability is not the same as performance. We believe the real opportunity is not adopting more AI features, but using practical, controlled capabilities like Totara’s to strengthen capability, accountability, and performance without losing governance or organisational control. We unpack this in more detail here: https://lnkd.in/dCy3zMzc #Totara #ArtificialIntelligence #LearningAndDevelopment #LearningTechnology #HRTech

Many business services organisations are investing in learning platforms like Totara to scale onboarding, compliance, customer enablement, and workforce development. Modern platforms can automate pathways, manage certifications, segment audiences, and deliver learning across regions, business units, customers, and partners. On the surface, this looks like capability maturity. Dashboards improve. Completion rates rise. Governance becomes easier. But activity is not the same as readiness. What we are seeing in the strongest Totara customer stories is something deeper. Organisations are not creating business value simply because learning is easier to distribute. They are creating value because Totara is being used to operationalise expertise through manager validation, role-based progression, compliance workflows, and real-world capability checkpoints. In business services, growth depends on how quickly expertise can be built, trusted, and replicated without compromising quality. The real value of Totara is not in managing learning. It is in helping organisations scale capability. 🔗 We discuss this in more detail on our blog here → https://lnkd.in/dy8Ywbjp

Most organisations have more learning data than ever before. Yet many still struggle to prove capability, performance improvement, or business impact. That tension is becoming harder to ignore. Skills frameworks are maturing. AI is starting to infer capability signals. Learning platforms can track completions, assessments, certifications, engagement, skill profiles, and development pathways at a level that was difficult to achieve even a few years ago. On the surface, this looks like progress, and in many ways it is. The challenge is that visibility into learning activity is improving faster than evidence of capability in the flow of work. A dashboard can show that learning happened. It can show that skills were mapped, pathways were completed, and profiles were updated. What it cannot automatically show is whether managers coached more effectively, whether teams made better decisions, or whether operational performance actually changed. That distinction matters. Participation may signal progress. Contribution is what builds capability, improves performance, and earns business credibility. 🔗 We Unpack this in more detail here → https://lnkd.in/d_3i_uTh

Most organisations assume their LMS is the problem. Engagement is low, reporting is unreliable, and admin effort keeps increasing. The system becomes the obvious place to point. But this often confuses where the problem shows up with where it actually starts. In many cases, the LMS is doing exactly what it is designed to do. It is reflecting how learning operates in the business. If learning is disconnected from workflows, if ownership is unclear, and if processes are fragmented, the system will surface those gaps with precision. This is why switching platforms rarely delivers the improvement expected. The technology changes, but the underlying model stays the same. As a result, the same patterns reappear over time. What matters is not just the system, but how learning is embedded into work. When that changes, the system starts to deliver differently. 🔗 We unpack this and when it may be time to switch LMSs in our latest Totara Thursday article here: https://lnkd.in/dbWSXRAy

Service inconsistency in hospitality is rarely a training gap. It is a control gap. Most groups have clear standards. Teams are trained. Pathways are defined. Yet the experience still varies by property, by shift, and by who is on the floor. That is because training happens before the work, while service is delivered during the work. The gap sits in execution. When the lobby is busy, a room is not ready, or a complaint escalates, teams rely on judgement. Without support in the moment, standards drift. Not because people do not care, but because the system does not hold under pressure. This is where the shift matters. 👉 For L&D, the question is not how many people completed training. It is whether you can see who is ready to deliver during a shift. 👉 For Brand, it is not whether standards are defined. It is whether they show up consistently in guest interactions. 👉 For COO and CFO, it is not whether effort is increasing. It is whether variation is being reduced, because that is where cost sits. In practice, consistency comes from simple things done well. Clear service pathways. Checklists that guide execution. Prompts for handling common scenarios. Managers reinforcing what matters on the floor. Training builds capability. Execution support creates consistency. Visibility creates control. If you cannot see and support what happens during a shift, inconsistency will keep showing up in your reviews and your margins. 🔗 We break this down in our full article here → https://lnkd.in/db2aMrpX

Are you designing learning… or just managing content? Most LMS conversations stop at one of two places: How learning is structured. Or how content is managed. But the real issue sits in the gap between them. In Part 1 of this Totara Thursdays Rapid Fire, we looked at learning design: How pathways, sequencing, and delivery shape progression. In Part 2, we went deeper: How content is governed, reused, and maintained at scale. 💡 Here’s the insight: Design without governance breaks over time. Governance without design doesn’t drive behaviour. You need both. Because learning only works when the experience is clear and the system behind it holds together. 🔗 Read Part 2 here → https://lnkd.in/dPhd5_Bf (Part 1 linked in the article) #LearningDesign #LMS #DigitalLearning #HRTech #LearningAndDevelopment

If OKRs are so simple… why do they keep breaking in L&D? Most teams adopt the structure. Objectives. Key Results. Cadence. But the outcome doesn’t change. Because the problem isn’t the framework. It’s how we apply it. In this article, I unpack the underlying logic behind structuring OKRs in L&D (referred to as SCOPE) and show why the real gap is translation, not knowledge. One key shift: start with performance, not learning. Everything else begins to align from there. If your OKRs still measure activity, they’re not doing their job. 🔗 Read the full article here → https://lnkd.in/d4ZGRZ_v #LearningAndDevelopment #LearningAnalytics #PerformanceManagement #FutureOfWork