Your managers cannot yet turn AI spend into productivity
The tools are bought and the pilots are running, but the gains stall at the manager's desk: teams experiment without direction, output goes unverified, and nobody redesigns the work itself. AI adoption is a management problem wearing a technology costume.
What it costs to leave unsolved
Only 5% of managers report transformational gains from AI and 26% report none at all, while 68% of organisations are still experimenting or piloting. The licence spend is committed either way — the missing layer is managers confident enough to lead adoption team by team.
Source: Chartered Management Institute, 'Artificial Intelligence; Real Leadership: The Management Imperative in AI Adoption' (June 2026; polling of over 1,000 UK managers). Checked November 2026.
The LRA answer
How the current catalogue answers it
Management Essentials carries the manager-level strand: redesigning tasks around AI, setting team norms, verifying output and measuring gains honestly. AI for Senior Decision Makers covers the leadership layer above it, and the Team AI Build Sprint converts one real workflow, hands-on.
Fixing “Your managers cannot yet turn AI spend into productivity”?
From a recent LRA programme
Route 1 · Book training
Book the training
A guided booking, one decision at a time — the programme, who it is for, the format, your window. Delivered to your schedule and priced by proposal: no published dates, no published prices, because no two engagements run alike.
Diagnostics, compliance kits and starter kits, priced per organisation — every one with the 14-day fit-or-refund guarantee. Nothing here replaces taught training; it prepares the ground for it.
Thirty minutes with Hajre Hyseni, the founder. Bring the problem as it stands; leave with a scoped read, the honest options — training, a product, or neither — and a written next step.