Services
Industries
Hephon is an AI agency in Dubai (Hephon L.L.C-FZ) that builds AI systems and trains the teams who use them. In 2026 we ran department-by-department AI training in person across Lebanon, the UAE and Saudi Arabia, including a Foundation Programme for a Lebanese industrial group with more than 1,000 employees.
A programme that trains each department on the work it actually does, in person, in waves across the organisation. Leadership gets its own session on where AI belongs and where it does not. Feedback after every session reshapes the next one, and success means the team still uses it three months later.
The teams were not sceptical about AI. They were stuck. They had heard about it, tried a few tools, and ended up using chatbots as a slightly faster search bar, wondering why nothing that mattered had changed.
Generic courses had not helped: they get people excited and leave them no closer to using AI for anything specific. Keynotes produce enthusiasm without translation. Vendor training teaches the vendor’s product, not the team’s job.
The pattern was the same in every organisation: AI tools bought, usage stalled, and one or two failed initiatives away from concluding that AI did not apply to them. The gap was not awareness. It was connecting the tools to the reporting, outreach, drafting and internal communication each team does every day.
Three engagements, one method: each session mapped to the workflows of the team in the room.
For the Lebanese industrial group, each department got its own workshop with cases, exercises and prompts from its own work. Finance worked on variance analysis and reporting, HR on policy drafts and candidate communications, operations on process documentation and SOP review, customer-facing teams on outreach, follow-ups and account research.
A deliberately non-technical session for the same client’s leadership, built on three questions: where AI compounds in the business, where it is irrelevant, and where it is actively risky. Two hours of structured discussion grounded in the next year’s real decisions.
For a regional B2B organisation, a focused series built around the AI tool the team had adopted, with exercises drawn from their actual pipeline.
Every session was delivered in person at the client’s site, in Lebanon, the UAE and Saudi Arabia. Adoption is social: when colleagues learn together on their own workflows, the new habit holds.
Training changes how people work, so the people who run the work shape it.
The C-suite session sets where AI is worth using, where it is irrelevant and where it is risky. Without it, a faster team gets absorbed into the same backlog and the training looks weaker than it was.
After every session we collect structured feedback from participants and their managers: what they used between sessions, what blocked them. The next session is rebuilt around the answers.
Momentum fades without a structured follow-up, so a check-in session is now built into the Foundation Programme.
First
Leadership session, a week or two before team training. Running them in parallel caused some misalignment we now avoid.
Waves
Department-by-department workshops across the organisation, each rebuilt from the previous session’s feedback.
30 days
Structured check-in to keep what the team started trying.
After
Several training clients moved on to scoped build projects with us, once they knew specifically what they wanted.
For the sales team, session two focused on an objection-handling workflow that session one showed was not being applied; session three moved on to outbound research. The plan for week four always matters less than what week three taught.
Training is quoted per programme: it depends on format, group size and how much customisation you want. Tell us your team size and goal and we send a fixed quote.
In person at your site. It costs more than remote sessions and it works better, because teams learn by doing, together, with someone in the room to answer the question that comes up right after the slide moves on.
We have delivered in Lebanon, the UAE and Saudi Arabia, in the same in-person format.
Yes. Leadership gets its own non-technical session on where AI belongs in the business. We now run it a week or two before the team training.
By whether the work changed, not by satisfaction scores. For the industrial group, the programme moved from proposal to departmental rollout and into a second year. For the sales team, use of their AI tool went from sporadic to embedded inside three months.
Often, with no obligation. Several organisations that went through training are now scoping AI build projects with us, because training made them specific about what they wanted.
The ones your team uses or is adopting. The tools on these engagements included Claude Code, Codex and OpenCode, and models from OpenAI and Anthropic.
Two things, both now part of the programme. Run the leadership session a week or two before the team training, not in parallel, so both are on the same timeline. And budget an explicit follow-up: without a structured 30-day check-in, some of the momentum a team leaves with gets lost to operational work.
Tell us what you run today. We will say plainly whether this fits, what we would change for your setup, and what a fixed-price first build looks like.
