Motivation and meaning
People understand why the change matters, what it means for their role, and how it improves the work.
04 · AI Adoption
Help teams make AI part of their everyday work.
RUDI helps organizations close the gap between people knowing how to use AI and teams consistently using it in valuable, responsible ways.
The adoption gap
Check how people use AI after training.
Look at which tasks employees use AI for, how they check the results, and whether the work improves. These questions help identify where people need more practice or support.
01
Do people know when AI is useful—and when it is not?
02
Are new practices documented inside repeatable workflows?
03
Do managers reinforce, model, and make space for change?
04
Can employees get help when real work becomes complicated?
05
Are governance and quality checks usable in everyday decisions?
06
Can leadership see what is being used and whether it is valuable?
The adoption system
Give teams time, guidance, and help from their managers.
RUDI works with managers and employees to select useful tasks, document how to do them, arrange coaching, and review results as teams begin using AI.
Ability and support
People have the capability, access, time, examples, coaching, and peer support required to act.
Reinforcement and evidence
Managers reinforce the behavior, workflows encode it, and measurement shows whether it is producing value.
Adoption work
Move from scattered experiments to an operating practice.
Segment the workforce
Define the different roles, needs, starting points, incentives, and adoption barriers across the organization.
Anchor in workflows
Turn promising use into repeatable practices with inputs, steps, human decisions, and quality standards.
Build reinforcement
Equip managers, champions, communities, communication, coaching, office hours, and peer learning.
Measure and scale
Track behavior, experience, workflow outcomes, quality, risk, and where support or redesign is needed.
What to measure
Measure changes in tasks, quality, and responsible use.
Behavior
Who is using AI, for which kinds of work, how frequently, and with what degree of confidence and independence?
Workflow change
Have tasks, handoffs, quality controls, cycle times, or role responsibilities changed in a durable way?
Value and quality
Is the change improving capacity, service, quality, speed, decision-making, experience, or another agreed outcome?
Responsible use
Are people protecting information, verifying outputs, applying judgment, and escalating uncertainty appropriately?
Learning
Can the organization identify what is working, where friction remains, and how practices should evolve?
Help your team keep using what works.
Share where adoption is stalling, what has already been tried, and what leadership needs to see change.