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Feeling overwhelmed by the ever-evolving world of AI…and what about Supervising AI Agents?

Ask Yourself: What is my core vision for how AI can benefit both my employees and our customers, increasing profitability and enterprise value?

Before Starting:

Educate Yourself: Understand the basics of AI and its potential impact on your industry according to a recent report by McKinsey & Company (https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year).
Identify Use Cases: Research how AI can benefit your specific business goals as outlined in a study by PwC (https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html).
Gather Diverse Inputs: Engage employees from various departments in the discussion to ensure a well-rounded perspective. For example, a town hall discussion on the topic is one way to go.

Starting

Set Clear Goals: Define specific, measurable objectives for AI implementation that align with your company’s overall strategy. If your company strategy does not involve AI yet, consider pivoting and starting a timeline.
Build a Dedicated Team: Assemble a team with expertise in AI, data science, and change management. This should include both technology change management as well as human resource change management.
Invest in Training: Equip employees with the knowledge and skills to work effectively alongside AI. (Pro-tip: Consider gamification solutions to make this more fun and less ominous.)

Strategies

Foster a Culture of Innovation: Encourage experimentation and exploration of new AI applications within a controlled environment. Give teams some simple boundaries and encourage lots of practice and playing with the new tools.
Embrace an Agile Approach: Implement AI in phases, continuously learning and adapting based on results. Keep your costs low and risks manageable; avoid the temptation to “throw money at the problem” then forget about it.
Prioritize Ethical Considerations: Establish an AI ethics framework to ensure responsible development and deployment. This is a good opportunity to put your company’s “core values” into a systemic structure that will ensure greater governance.

Warnings

Overpromising & Underdelivering: Set realistic expectations for AI’s capabilities to avoid employee disappointment. (Pro-Tip: Consider staring an AI Taskforce of cross functional leaders to get more champions at different levels.)
Job displacement: Develop a plan to address potential job losses, changes, and reskilling opportunities. (Pro-Tip: Start with the many free trainings offered by the big players and college institutions.)
Bias in AI algorithms: Ensure data used to train AI systems is fair and unbiased to prevent discriminatory outcomes. (Pro-Tip: Invite Legal and HR to read the documentation on training rules etc.)

Ignore newspaper hype! You got this. By addressing opportunities and challenges head on with the right people, you will be able to develop a practical and understandable road map to lead your company to an amazing future!