A two-day classroom course, a generic AI 101 deck, an e-learning licence — and three months later your usage dashboard is flat.
Spicy Advisory replaces all of that with workflow-specific training: small cohorts, real files, founder-led delivery, and a custom GPT library that ships with every engagement. 1,500+ professionals trained at L'Oréal, Essilor, IGN, VUSION, Adisseo and ZELIQ. 4.98/5 average rating. 11 hours saved per user per week, measured 90 days post-rollout.
11h
Saved/user/week post-rollout
4.98/5
Participant rating
25
Max cohort size per session
5–10
Custom GPTs shipped per engagement
Three patterns we see in every post-mortem of a stalled AI rollout.
1
A pre-built deck about "what is an LLM" and a sample prompt for writing a marketing email. People leave knowing the vocabulary. They don't leave knowing how to draft their next quarterly review with AI.
2
Classroom, e-learning, video — the trainee never opens their actual inbox, CRM, or spreadsheet during the session. So the new behaviour never gets attached to the real workflow.
3
By week three the team is back to the old workflow. We call this Painful Tuesday. It's predictable, it's measurable, and it's what every traditional programme produces.
Read more in Why AI adoption fails in companies and Role-specific AI training.
Four design choices. Each one inverts the default of traditional training.
Marketing's workflows are not finance's workflows. Sales workflows are not legal workflows. We design distinct module sets per business unit so every participant trains on the work they actually do.
Participants bring real briefs, real CRMs, real spreadsheets and real PDFs. They leave the workshop with a working prompt library and 5–10 custom GPTs already wired into their workspace.
Long enough to ship something real. Short enough that nobody zones out. Small enough that every participant gets the trainer's attention on their own files.
Every workshop is run by Toni or a hand-picked partner who has shipped AI workflows in production. Not a generalist trainer reading off a deck they didn't write.
Two approaches. Two very different post-90-day usage curves.
| Spicy Advisory | Traditional AI training | |
|---|---|---|
| Curriculum | Built per department around real workflows | Pre-built generic deck (AI 101, prompt basics) |
| Materials | Participants' own briefs, files, CRM, spreadsheets | Sample prompts, fictional case studies |
| Format | Live, hands-on, founder-led, 2–3h cadence | Classroom day, e-learning library, recorded video |
| Cohort size | Max 25 per session | 50–500 in a single auditorium or LMS cohort |
| Trainer | Founder or hand-picked practitioner | Contracted facilitator, often new to AI |
| Output | 5–10 custom GPTs + prompt library shipped | Slide deck PDF, completion certificate |
| Success metric | Hours saved/user/week at 90 days (we report it) | Course completion rate, NPS |
| Post-training support | Champions programme + GPT library maintenance | None, or async forum access |
| Pricing model | Per workshop / engagement, transparent | Per seat, per year (e-learning) or per day (classroom) |
Three numbers we publish openly, measured across 50+ enterprise engagements.
11h
Measured 90 days after the engagement, across L'Oréal and Essilor cohorts. The number is achievable because the workflows trained were the workflows the team actually runs.
4.98
Across every cohort, every department, every language. We publish it because role-specific training, taught by practitioners, is the easiest way to earn it.
1,500+
At organisations ranging from CAC 40 listed companies to Series B scale-ups. Every engagement informs the next.
A few of the teams we've trained
L'ORÉAL · ESSILOR · IGN · VUSION · ADISSEO · ZELIQ
From audit to measured ROI, in 90 days.
We pull data from your AI licence dashboard (ChatGPT Enterprise, Copilot, Gemini) and shadow 4–6 power users to map current workflows. Output: a one-page map of where the hours actually go.
Each business unit gets a tailored module set. Marketing learns content workflows, sales learns prospect research, finance learns data analysis, HR learns policy Q&A GPTs.
2–3 hour sessions per team, max 25 people. Participants bring their real tasks. They leave with prompt templates, custom GPTs and automated workflows they use the next morning.
Internal champions get advanced training to maintain the GPT library. We deliver a written ROI report with before/after usage metrics and hours saved per user per week.
Method documented in full in:
Teach Them to Drive — The AI Adoption PlaybookProprietary Spicy Advisory concepts every engagement applies.
Why a paid licence is not adoption.
Train the work, not the tool.
Why juniors out-ship seniors with AI.
How AI rewrites senior roles.
From pilot to measured ROI.
The week-three drop-off — and how to design around it.
Book a free 30-minute audit. We'll review your current AI estate, your previous training, and tell you honestly what we'd change.