AFEST: The Foundation of Work-Based Learning

In summary

AFEST rests on a simple idea: the work situation is the best possible learning ground. As it got turned into a fundable scheme, it often kept the mechanics but lost the philosophy.

That philosophy is exactly what skills-based organisation and work-based learning concepts rest on, concepts that arrived later in HR conversations.

A serious AFEST requires infrastructure: trained tutors, a framework of observable tasks, and traceability of what's been acquired.

In 2026, between industrial recruitment pressure and retirements in technical sectors, this philosophy becomes a strategic issue, not just a pedagogical one.

A few years ago, whenever we talked about AFEST, we'd usually have to start by explaining what it was. Today, the term has made its way. HR directors know the acronym. The OPCOs fund the pathways. Training providers have added the word to their catalogues.

But through being turned into a tool (reduced to a fundable scheme, a box to tick in an OPCO file), AFEST has often lost part of what made it strong. The mechanics stayed. The philosophy was often forgotten.

And it's precisely that philosophy that becomes, in 2026, more relevant than ever.

What AFEST really says

AFEST (Action de Formation En Situation de Travail) rests on a simple but radical idea: the work situation is the best possible learning ground.

Not the training room. Not the 12-minute e-learning module. Not the video on the intranet.

The workstation. The machine. The site. The patient. The customer.

That's where a skill is genuinely formed. That's where it gets tested, consolidated, and turns into a working habit rather than a stated piece of knowledge.

What AFEST adds to this is structure: a period of real-life practice, support from a third party (a tutor or trainer), and above all a reflective sequence. A moment of stepping back from what just happened, to understand why it worked or didn't, and to embed the learning.

Without that reflective sequence, you lose the essence of AFEST.

Why AFEST is the foundation of work-based learning

Over the past few years, our field has gained new concepts. Skills-based organisation. Skills-based learning. Work-based learning. These terms aren't fads, they describe a real transformation in organisations and how they relate to skills.

But they all implicitly rest on the same premise: the most effective learning happens as close to the work as possible.

That's exactly what AFEST established from 2018, well before these concepts entered the conversations of HR directors and L&D teams (Josh Bersin's article "Building A Skills-Based Organization: The Exciting But Sober Reality" dates from July 2023).

In that sense, AFEST (as a form of work-based learning) isn't just one tool among others in the professional training toolbox. It's also a foundational layer that all these approaches rest on.

A skills-based organisation that wants to manage by skills needs proven skills, produced, validated and demonstrated in a real work situation, to be credible, not just skills that are self-reported or inferred from a CV.

AFEST, properly implemented, can be what turns work experience into structured learning. It's the link between doing and knowing how to do.

What AFEST requires, and shouldn't be underestimated

Putting a serious AFEST in place isn't deciding that "from now on, we'll train at the workstation". It's building an infrastructure.

Trained tutors. Not everyone can support an AFEST. The tutor needs to know how to observe, ask questions, and give useful feedback. They need to understand the difference between correcting a mistake and creating a learning moment. Training your tutors is often the most cost-effective investment an organisation can make on this front.

A framework of observable tasks. For the practice session to be structured, you need to know what you're looking to observe. Which tasks? Which behaviours? Which signs of mastery? Without this framework, each tutor assesses their own way, and transmission becomes hit-or-miss, a problem that directly affects a role's critical know-how.

Traceability of what's been acquired. This is the necessary link for AFEST to hold up as evidence and exist within systems. To feed a skills-based strategy, it needs to withstand an audit.

These 3 requirements aren't just administrative constraints. They're the conditions for AFEST to deliver on what it promises.

2026: the moment AFEST becomes strategic

The government plan forecasts 600,000 industrial hires over the next 3 years. 1 million retirements by 2030 in technical sectors. Critical know-how that's never been formalised, held by seniors who are leaving, an issue close to that of turnover and the costly onboarding it creates in the organisations concerned.

At the same time, organisations that want to become skills-based organisations run into the same problem: their talent management tools, their LMS, their HR AI platforms consume skills data, but no one is producing that data where the skill is actually formed.

AFEST, backed by a traceability infrastructure, answers both of these issues at once.

It captures seniors' know-how before they leave. It trains less experienced people by putting them in real situations, with structured support. And it produces reliable, observable, dated skills data, exactly what organisations need to manage by skills.

It's no coincidence that the companies furthest along on their skills-based organisation strategy have often also structured their AFEST process.

What Daylindo brings to this philosophy

At Daylindo, we've spent several years supporting organisations across very different sectors (nuclear, aerospace, healthcare, industry, construction) on these questions. The platform structures, deploys and traces the transmission of critical skills and job-specific tasks at the workstation, carried out by in-house experts, exactly the 3 requirements described above: trained tutors, a framework of observable tasks, traceability that holds up as evidence.

Evidence from this work confirms what this article argues: the companies that genuinely structure their AFEST, beyond the OPCO tick-box, are also the ones moving fastest on their skills-based organisation strategy.

What we've learned

What we've learned is that AFEST often crystallises the right questions to answer.

Who genuinely knows how to do this, here? How do we prove it? How do we pass it on before it's gone?

These aren't just training questions. They're questions of organisation and performance. And answering them lays the foundations for a real skills-based organisation.

FAQ

What is AFEST, strictly speaking?

AFEST (Action de Formation En Situation de Travail) is a scheme that structures learning directly at the workstation, with support from a third party and a reflective sequence after the practice session.

Why is it said that AFEST has often lost its philosophy?

Because through being turned into a fundable scheme with the OPCOs, it's often been reduced to an administrative tick-box, keeping the mechanics but losing the reflective sequence that gives it its value.

What's the link between AFEST and skills-based organisation?

Both rest on the same premise: the most effective learning happens as close to the work as possible. AFEST established this principle in France from 2018, before skills-based organisation concepts spread internationally.

What are the 3 conditions for an AFEST to deliver on what it promises?

Trained tutors able to observe and give useful feedback, a framework of observable tasks shared by all tutors, and traceability of what's been acquired that can withstand an audit.

Why is AFEST becoming strategic in 2026?

Because it answers 2 issues at once: capturing seniors' know-how before they retire, in a context of strong industrial recruitment pressure, and producing the skills data that HR tools don't generate on their own.

Can a well-run AFEST replace an LMS or a talent management tool?

No, it complements them. LMS and talent management tools consume skills data; AFEST is what produces that data where the skill is actually formed, on the ground.