As Face‑to‑Face Training Scales, Operational Complexity Comes Into Focus
Face‑to‑face and virtual classroom training remain central to enterprise learning strategies, yet the operational practices used to plan and run them have not evolved at the same pace. Drawing on analyst insights from Brandon Hall Group, this article explores how scale brings new complexity into focus, and why execution is becoming an increasingly important consideration for learning leaders.
Face‑to‑face training and virtual classroom training continue to sit at the heart of learning strategies in many organisations. Analysis shared by Brandon Hall Group suggests that around 70% of corporate training is still delivered through instructor‑led formats, with most organisations expecting their use of in‑person and virtual classroom training to increase rather than decline.
That continued reliance on live training carries implications that are often overlooked. While delivery formats and learning technologies have evolved steadily, the way in‑person and virtual classroom training is planned and run has, in many cases, changed very little.
Across sectors, Brandon Hall Group analysts continue to see live training coordinated through spreadsheets, email, shared calendars and informal knowledge held by a small number of people.
In many organisations, these manual approaches evolved for good reasons – flexibility, speed, and the absence of practical alternatives. At smaller scales, they can appear not only workable but efficient. As training portfolios grow, however, they begin to introduce risks that are easy to miss until they surface elsewhere.
When operational complexity becomes a leadership issue
In a recent analyst‑led webinar, Brandon Hall Group described how learning teams often sustain complex face‑to‑face and virtual classroom programmes through experience, workarounds and personal effort rather than through structures designed to operate reliably at scale.
A single in‑person or virtual classroom programme can involve many interdependent elements: trainer skills and availability, rooms or virtual platforms, time zones, materials, regulatory requirements, multiple audiences and costs. These elements must align, often under pressure and across regions, for training to run as planned.
What makes this difficult is not simply the volume of work, but where the consequences tend to surface. Leaders typically have clear visibility into schedules, budgets and completion data. What tends to remain fragmented is the operational data generated by execution itself – last‑minute changes, cancellations, no‑shows, duplicated effort, and uneven use of trainers. In the webinar discussion, this was described as a form of “operational drag”: cost and risk that accumulates quietly when execution data sits outside any single system.
One example shared during the session brought this into focus. When a large organisation consolidated cancellation data across regions for the first time, it uncovered more than $1 million in avoidable cost. The training portfolio itself had not changed; only the visibility of operational data had.
The structural gap beneath modern learning stacks
A key insight from the analyst discussion was that many learning technology stacks have evolved primarily around the learner experience, while paying far less attention to how live training is actually executed day to day.
Learning management systems are designed to manage learners, content, enrolments and completions, and they generally perform those functions well. Face‑to‑face and virtual classroom training, however, operate as live environments, with shared resources, capacity constraints and constant change.
Michael Rochelle described this as a missing operational layer in the learning technology stack – not a failure of learning platforms, but a structural gap. When that gap exists, organisations compensate manually. Over time, reliance on spreadsheets, inboxes and individual knowledge holders becomes the default way work gets done.
The consequence is that execution becomes harder to explain, harder to scale and harder to control. Leaders may struggle to answer basic questions, including how much training truly costs to deliver, where capacity constraints sit, or why certain programmes consistently absorb disproportionate effort.
What this means for enterprise learning
The analyst discussion suggested that this issue is becoming harder to ignore. As organisations increase their reliance on face‑to‑face and virtual classroom training, manual operational foundations are being stretched in ways they were never designed to handle.
From an enterprise perspective, the risk is not simply inefficiency. Manual coordination introduces avoidable cost, increases dependence on individuals, and creates execution risk that often only becomes visible when something breaks. As Rochelle noted in the discussion, continuing to rely on manual processes for business‑critical training effectively means accepting that risk as part of the operating model.
This also reframes the role of analytics and AI in learning. In the webinar, AI was discussed not as a content solution, but as a way to make sense of structured operational data – identifying constraints, forecasting issues and supporting decision‑making once execution data exists in a coherent form.
For many organisations, this represents a subtle but significant shift in thinking: from focusing primarily on learning strategy and experience, to recognising execution as an enterprise capability in its own right.
A quieter but growing challenge
The challenge for learning leaders is not whether face‑to‑face and virtual classroom training will remain important, but whether the operational reality beneath it is visible enough to manage with confidence.
For readers who want to explore the analyst discussion behind these observations, a recording of the Brandon Hall Group webinar, “Why enterprise training breaks at scale – and what the LMS can’t fix”, is available here.