Streamline the workflow
Rebuild day-to-day tasks around AI so the work itself gets faster — moving teams past the pilot stage most never escape.
What we do
An embedded expert not a slide deck.
A Verified AI trainer sits with your teams, rebuilds real workflows across ChatGPT, Claude, Gemini and Microsoft Copilot, and leaves behind measurable, repeatable gains.
The offering
Three outcomes every engagement delivers
+6 hrs/wk · Win time per employee
Close the trained-vs-untrained gap (11 vs 5 hrs/week). Over half of GCC staff already save 1+ hour a day with AI.
In AED · Prove the value
Baseline before, measure after. We report time and output gains in hours and AED — freed capacity, not vanity activity.
Verified AI engagement model; benchmarks: BCG 'AI at Work in the GCC' 2025, LSE/Protiviti 2025.
The engagement model
How we deliver and why dosage matters
Training only works above a threshold: 5+ hours, hands-on, in real workflows. Our model is built to clear that bar — and to prove it cleared.
- 01BaselineDay 0
Measure current time-on-task and AI usage per team — the counterfactual we'll prove against.
- 02Cohort sprint5+ hrs
Hands-on, in-person sessions on live workflows across all four major AI tools.
- 03Embedded coachingOn-site
The trainer stays on the floor; 1:1 support converts trial into daily habit.
- 04PlaybookRetained
A reusable prompt library & workflow SOPs so gains persist after we leave.
- 05Re-measureDay 90
Re-test against baseline; report freed capacity in hours and AED.
79% of employees with 5+ hours of training become regular AI users (vs 67% below). In the GCC, 87% already use AI weekly — the demand is there; structure is what's missing.
BCG 'AI at Work' 2025 & 'AI at Work in the GCC' 2025; standard adoption-program practice.