How Quickly Can We Deploy AI in Our Workflows? - LSBUK
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How Quickly Can We Deploy AI in Our Workflows?

Why switching an AI tool on takes an afternoon but changing how people work takes months - and how to plan for both.

A team planning how quickly they can deploy AI into their workflows

You can switch an off-the-shelf AI tool on this afternoon. Getting it genuinely embedded in a workflow - used consistently, trusted, and actually saving time - takes weeks to months. Confusing those two timelines is why so many rollouts stall after a fast start.

The two speeds of deployment

  • Technical go-live: hours to days. Subscribe, configure, connect to what you already use.
  • Real adoption: weeks to months. People change habits, learn where it helps, and build trust in the output.

The bottleneck is almost never the software - it is behaviour change. Budget your time accordingly.

Deploy fast, adopt deliberately

Move quickly on the pilot, then slow down for the people. Start narrow - one team, one task - prove it, and expand. Trying to deploy everywhere at once is a reliable way to start with AI badly.

The bottom line

Deploying the tool is fast; deploying the habit is slow - plan for months of adoption, not days. Managing that transition is exactly what the Generative & Agentic AI for Business Leaders course at London School of Business UK prepares leaders to do. Enquire today.