bp2w® Diagnostic
artificial-intelligence@work
The artificial-intelligence@work diagnostic explores employee understanding, attitudes and preparedness for working alongside AI tools and systems.
Indicators Measured
Comfort
Evaluates employee ease and familiarity with AI-driven workflows and systems.
Why it matters: Comfort enables smoother transitions and better engagement with new technologies.
Confidence
Assesses employees' self-assurance in their ability to learn and utilise AI technologies effectively.
Why it matters: Confidence drives the adoption of new tools and reduces resistance to change.
Engagement
Measures the extent to which employees feel involved, committed and positive about the AI transition.
Why it matters: High engagement during technological change boosts morale and eases the transformation process.
Ethical Perception
Reviews employee concerns and understanding regarding the ethics of AI, including potential bias and data security.
Why it matters: Addressing ethical risks is crucial for a responsible and safe adoption of AI.
Empathy
Gauges whether employees feel that the organisation cares for and understands their perspective during the AI transition.
Why it matters: Empathy from the organisation fosters goodwill and supports employees through change.
Satisfaction
Measures the overall employee satisfaction with the implementation of AI and its impact on their work.
Why it matters: Satisfaction is a key indicator of the long-term success and sustainability of the AI integration.
Trust
Gauges the level of trust employees have in the leadership's decisions and the outcomes produced by the AI systems.
Why it matters: Trust is fundamental for the successful and effective adoption of any new technology.
