Turalabs Academy

AI training that changes how your team works on Monday

Hands-on sessions built around your team's real work. On-site across the GCC and North Africa, remote worldwide. English, French or Arabic.

Book a call to scope a workshop See the three formats

What upskilling actually returns

The gap is not between companies that have AI and companies that don't. It's between teams that were taught to use it and teams that were handed a licence.

2.2 hrs / week

saved on average by people using AI at work. Daily users save more than double that.

Source: Federal Reserve Bank of St. Louis

42% vs 21%

Companies with a workforce-wide AI programme are twice as likely to report significant ROI from AI.

Source: DataCamp / YouGov 2026, 500+ enterprise leaders

6.4 hrs / week

recovered per person by teams running AI in production, not pilots.

Source: McKinsey Global AI Survey 2026

Only 35%

of companies have AI training that reaches the whole workforce. 77% say they offer "some" training.

Source: DataCamp / YouGov 2026

The single most common complaint about AI training is that there isn't enough hands-on practice. Every session we run is built the other way round.

Three ways to run this

Every one of them starts with a conversation, so we can build the day around your actual work.

Half day or full day - on-site or remote

GenAI for Every Professional

from $2,500

Most people in your organisation have tried ChatGPT, Claude or Copilot. A few use it daily. Almost none of them are using it on the work that actually costs you time, and nobody has told them where it goes wrong.

This session fixes that in a day. We take your team's real work - the reports they write, the presentations they build, the emails they chase, the data they re-key, the documents they check - and rebuild those tasks in front of them, with the tools they already have licences for.

They leave having built something that works, not with a slide deck.

What your team leaves with

Hands-on the whole way. Everyone builds at least two working AI assistants for their own recurring tasks, in the session.
Clarity on which parts of their job AI genuinely helps with, and which parts it quietly gets wrong. The second one is what costs you.
One shared way of working, instead of nine people prompting nine different ways.
A ranked list of what to automate next, with the hours attached.

Who it's for: any team of 6-15. Operations, finance, marketing, HR, admin. No technical background needed.

Discuss this workshop

Full day - built around your sector

AI for Your Industry

from $3,500

Generic AI training doesn't survive contact with a regulated industry. A pharma regulatory team and an insurance claims team have almost nothing in common except that both were told to use AI more.

We build the day around your sector's real constraints - what the regulator allows, where the data actually lives, which decisions can never be automated - then show your team what genuinely moves inside those limits. Drawn from live client work, not a course catalogue.

Sectors we run this for

Sector	What improves	Evidence
Pharmaceutical & life sciences	Submission prep, dossier checklists, regulatory monitoring, market-entry research	Document drafting runs about 59% faster with AI assistance (Nielsen Norman Group)
Insurance & financial services	Claims handling, document processing, customer service, fraud signals	20-40% lower customer onboarding costs and 10-20% agent productivity gains (McKinsey)
Manufacturing & export	Market intelligence, partner evaluation, trade documentation, compliance	75% of the time it takes to get goods out of a country is administrative, not transport (World Bank)
Professional services	Research, proposals, client reporting, knowledge management	Teams running AI in production recover a median 6.4 hours per person per week (McKinsey)

Working in something else? That is usually fine - tell us what you do.

What your team leaves with

The same hands-on build as the general session, on your own documents and workflows
Clear lines drawn: automate now, pilot next, leave alone - and the reasoning behind each
A shared understanding of where the regulatory and quality risk actually sits, instead of guessing
A prioritised use-case list with rough effort against each

Who it's for: teams of 6-15 in one function. Works best with a decision-maker in the room.

Discuss this workshop

Custom

Something Else

Let's talk

Board-level briefings, programmes across several departments, or training your internal team to run these sessions themselves. We scope these individually.

Tell us what you need

Why teams book this now

McKinsey compared companies that got AI into daily use across the business with companies still running pilots. The first group returned six times more to shareholders. Two of the six things separating them are about people - talent and adoption - not technology.

Right now, 56% of the global workforce has had no AI training at all. Your competitors are in the same position you are. That stops being true at whatever speed someone decides it stops being true. (ManpowerGroup 2026 Global Talent Barometer)

The cost of waiting is quiet. Nobody files a report saying "we spent four hundred hours this quarter on work a trained team would have done in eighty." It shows up later, as a competitor who quotes faster than you.

PhD-led

Sessions run by an AI practitioner who ships production systems, not a trainer reading slides

Your work, not case studies

We build the day around documents and workflows you bring

Where you are

On-site across the GCC and North Africa. Remote worldwide. English, French or Arabic.

Online courses - coming soon

Self-paced courses on building and running AI inside a business. Register your interest and you'll hear first.

Book a call to scope a workshop

Tell us who's in the room and what they work on. We'll come back with a proposed day.

Book a call