Alford AI Consulting
Business Experience. AI Training. Practical Results.Applying 30+ years of business experience to the practical use and evaluation of Generative AI.AI Training | AI Evaluation | Business Applications
I've spent more than 30 years working across Finance, Budget Planning, Operations, and Human Resources.As Generative AI has evolved, I've become increasingly interested in how it can be applied to real-world business problems.Alford AI Consulting is my opportunity to combine that business experience with my growing expertise in Generative AI.My focus is practical: learning how to use AI effectively, evaluating the quality of AI-generated information, and helping others develop the critical thinking skills needed to use AI responsibly.
I've spent most of my career working with business problems where good decisions require analysis, judgment, and an understanding of the broader organizational impact.Generative AI presents an entirely new set of possibilities—and challenges.I'm interested in the intersection between AI capability and human judgment: what AI can do well, where it struggles, and how experienced professionals can use it more effectively.That's what I'm exploring through my AI projects, training, and hands-on experimentation.
Rubric-Based Approach to Evaluating AI OutputsDeveloped a structured methodology for evaluating Generative AI responses across Business, HR, and Financial topics. The project used a weighted rubric to assess AI outputs for strategic thinking, business alignment, workforce impact, risk, financial awareness, and executive communication.The project demonstrated how 30+ years of business experience can be applied to AI evaluation, using critical thinking and structured judgment to distinguish between responses that simply sound good and recommendations that are actually practical and business-ready.
Human-in-the-Loop AI: When AI Jumps to ConclusionsThis project explores what happens when Generative AI makes assumptions or reaches conclusions without having enough information to support them.I tested AI responses to situations involving ambiguity, missing information, and conflicting requirements, examining when the AI recognized uncertainty and when it moved too quickly toward an answer.The project reinforced the importance of keeping human judgment in the loop. Rather than automatically accepting an AI response, users need to recognize when additional information, clarification, or human expertise is required.The key takeaway is simple: AI can be very effective at generating answers, but knowing when it doesn't have enough information to answer confidently is just as important.
AI Chief Workforce Officer Challenge- 20 workforce issues
- Executive-level recommendations
- Finance, HR, operations and workforce considerations
- Structured evaluation rubric
- Human assessment of AI recommendations
- Identified which recommendations you would actually present to a CEOThe project reinforced something I believe strongly: AI can generate valuable recommendations, but human experience and critical thinking are still essential to determining whether those recommendations are actually worth pursuing.That's a real AI story without overstating your experience.
Let's Talk About AI
I'm interested in connecting with organizations and professionals exploring practical applications of Generative AI, AI training, and AI evaluation.