Training Providers: Adding AI to Your Offer, Where to Start

The same question comes up in almost every sales meeting: „do you do AI?" Saying no costs you deals, and improvising a „discover ChatGPT" day won't hold up for three months against a client who has already tried the tool on their own. Good news: adding AI to your catalog doesn't mean hiring a €60,000-a-year expert or rebuilding your entire offer. It takes three decisions, made in the right order: which audience you're targeting, which certification you attach to it, and who produces the content.

This guide gives you the order in which to make those decisions, the three possible approaches with their real costs and timelines, a comparison table, and the risk points to handle before your next Qualiopi audit. The goal is simple: have a sellable AI offer in a few weeks, not in a year.

Where to start: the four decisions to make, in order

Start with certification and funding, not with content. An AI module with no certification attached sells like any other one-day course and gets compared on a single criterion: price. That same program tied to a certification registered with France Compétences becomes fundable — and suddenly you're in a different competitive bracket.

The four decisions, in this order:

1. Audience and use case. An executive assistant, a salesperson and a communications manager don't need the same skills. Pick two profiles max to start with — the ones you already train on other topics. You've got the prospect list, you know their constraints, you'll sell faster.
2. The certification. Two certifications are directly relevant here today: RS7439 (AI-assisted content marketing) and RS6792 (AI and sales), both registered in the Répertoire Spécifique and therefore fundable. You can check their official record, their certifying body and their assessment terms on the France Compétences Répertoire Spécifique. Important point: to deliver a Répertoire Spécifique certification, you need to be authorized by the certifying body. That's not a formality to deal with at the end of the project — it's the first door to open.
3. Content production. This is what determines your launch timeline and your margin. Three options, detailed below.
4. The evidence. Attendance, individualization, assessment, technology watch. On a remote AI course, this is what derails audits, because in-person habits don't transfer.

One last piece of context that's useful for your sales pitch: since February 2, 2025, the European AI Act has required organizations deploying AI systems to ensure a sufficient level of AI literacy among their staff. So your clients now have a regulatory reason — not just an appetite — to train their employees.

Approach 1: plug in a turnkey, certifying AI catalog

This is the fastest route: you get ready-made programs, fundable certifications and tool access, without hiring anyone or producing a single video.

That's exactly what Skilzy does — a French e-learning platform built to learn and use AI. The catalog includes more than 15 programs: creating images, producing videos (UGC, ads, faceless channels, avatars, voiceovers), generating music, automating tasks with n8n, writing good prompts, coding with AI. The two state-recognized certifications mentioned above, RS7439 and RS6792, are attached to the setup.

The difference that matters for a training organization is the built-in AI Lab: learners use the real tools straight from the platform, with credits included. In practice, that means you don't have to make every trainee buy six subscriptions at €20 or €30 a month, or juggle trial accounts that expire halfway through the session. And the work produced in the Lab creates an activity trail you can use in your evidence file.

What you gain:

• A launch timeline of a few weeks, just the time needed for authorization and your sales cycle.
• Zero instructional design to produce, zero filming, zero editing.
• Content that's maintained when tools change their interface or model, which happens several times a year.
• A fundable offer, so a sales pitch that doesn't rest on your price alone.

For the catalog, certifications and multi-learner deployment side of things, look at the Skilzy offer for training organizations; if you want the details of what a ready-to-sell catalog contains, the article on the turnkey AI training catalog gets concrete, and the one on how to offer AI training without hiring a trainer covers how to organize learner support.

The limitation, honestly: you don't control the pedagogical roadmap. If your core business is a very specific niche (AI applied to property surveys, say), you'll have to add your own industry modules on top of the base.

Approach 2: build your AI training in-house

This is the longest and most expensive route, but the only one that gives you 100% original content on an industry expertise nobody else covers.

Some ballpark figures, so you can decide with your eyes open:

• Instructional design. For in-person delivery, expect 3 to 5 days of design per 1 day of training. For scripted e-learning, the usual market range is 20 to 40 hours of production per 1 hour of finished content.
• Tool subscriptions. A serious image, video and automation program quickly pulls in four to six paid services, or €100 to €200 a month on the trainer's side — plus the question of access for trainees.
• Maintenance. Interfaces and models change every quarter. A module filmed six months ago often shows screens that no longer exist, and a trainee who can't find the button checks out within three minutes.
• Certification. Building your own Répertoire Spécifique registration file is a project in its own right, with a skills framework, an assessment framework and a review process that takes several months.

This approach makes sense in one scenario: you have rare sector expertise, an in-house trainer already comfortable with the tools, and enough session volume to amortize the production. Otherwise, you pay twice — in money and in months lost.

Approach 3: go through a freelance trainer or a partner organization

This is the most flexible way to answer a one-off request, but the one that eats the most into your margin and your ability to scale.

A freelance AI trainer generally charges between €700 and €1,200 before tax per day for on-site corporate work, more for in-demand profiles. You front nothing, you produce nothing, you invoice with a markup.

What it gives you:

• A fast response to an RFP or a request from a long-standing client.
• The credibility of a practitioner who works with these tools every day.
• Fine-tuned adaptation to the client's context.

What it costs you:

• A thinner margin on each session, with no economies of scale.
• Scheduling dependency: your best trainer is booked exactly when your client can free up their teams.
• Responsibility that stays yours. With subcontracting, you have to make sure your provider meets the national quality framework requirements, and document that check.
• No asset: the day the trainer stops, your offer stops with them.

Plenty of organizations mix approaches: a shared asynchronous base for the fundamentals, plus a trainer for a high-value half-day industry workshop.

Comparing the three approaches on the criteria that decide it

On timeline, startup cost and ability to scale, approach 1 wins in most cases; approach 2 is only justified for an industry niche.

The pragmatic read: start with approach 1 so you have something to sell this quarter, add approach 3 for the industry workshops your clients ask for, and only move to approach 2 when a need comes up often enough to justify the production.

What a Qualiopi auditor will look at in your AI offer

The four checkpoints are remote attendance, individualization, trainer competence, and monitoring technology developments.

• Attendance and completion. In asynchronous delivery, a scanned sign-in sheet isn't enough. You need activity trails: logins, progress, submitted work. On an AI course, the trainee's output (an image, a video, an automation workflow) is clear, time-stamped proof. What exactly the auditor expects is covered in the article on Qualiopi evidence for e-learning.
• Individualization. You have to show that the path for a complete beginner and the path for an already-independent user aren't identical. An entry-level assessment and differentiated tracks are enough, as long as it's written down and actually applied.
• Trainer competence. Plan for up-to-date proof: certificates, portfolio work, training completed. „He's been using ChatGPT for two years" does not count as evidence.
• Technology watch. Indicators 23 to 25 of the framework cover legal and regulatory monitoring, changes in occupations, and pedagogical and technological innovation. On AI, this is where you can genuinely shine: document a dated watch process, with sources and the impact on your content. The national quality framework published by the French Ministry of Labor gives the exact wording of the indicators.

One more habit worth building: state in black and white, in your program and your terms, which tools are used, what data learners are not allowed to enter into them, and how you handle the question of generated content. Your clients' procurement teams and data protection officers now ask.

The shortest path to launching this quarter

Adding AI to your offer comes down to three moves: pick an audience you already know, attach a fundable certification, and produce no content you can get ready to sell. Everything else — industry workshops, in-house modules, upskilling your trainers — gets built afterward, on top of a catalog that's already running.

If you want to get yourself up to speed first, the guide to learning AI as a beginner is a good starting point.