Alford AI Consulting
Business Experience. AI Analysis. Practical Results.Helping organizations improve financial analysis, Excel reporting, and AI-assisted decision-making through practical business solutions.AI + Excel Business Analysis | Finance & Operations Insights | AI Evaluation
CHARLES ALFORD
Founder | Business Analysis & AI Consulting30+ years of professional experience in Finance, Budget Planning, Operations, and Human Resources.
I combine extensive business experience with practical applications of Generative AI, Excel, and business analytics to help organizations improve reporting, validate financial information, and make more informed decisions.My approach emphasizes accuracy, critical thinking, and sound business judgment when applying AI to real-world business challenges.
Practical AI + Excel solutions backed by 30+ years of business experience.Excel Financial & Business AnalysisImprove financial reporting and business decision-making through Excel-based analysis,data validation, and practical business insights.Services include: Financial and budget analysis, variance reporting, data validation, performance trend analysis, and management reporting.Deliverables: Customized Excel reports, financial analysis, dashboards, and actionable findings to support informed business decisions.
Illustrative Excel financial dashboard using sample business data.
AI + Excel Financial Analysis ReviewImprove the accuracy and reliability of AI-generated financial analysis through independent Excel validation and experienced business judgment.Services: Review financial calculations, test assumptions, validate conclusions, and identify errors or unsupported AI-generated recommendations.Deliverables: Excel-validated financial analysis, documented findings, and management-ready recommendations to support more confident business decisions.
Illustrative AI-generated financial analysis review demonstrating Excel validation, assumption testing, and documented findings. Sample data used.
Excel Reporting & Dashboard ImprovementTransform existing Excel reports and dashboards into clearer, more reliable, and easier-to-use business tools.Services: Formula and data validation, KPI and chart improvements, reporting structure optimization, Power Query enhancements, and workflow recommendations.Deliverables: Improved Excel reports and dashboards, validated calculations, and documented recommendations to enhance reporting accuracy, usability, and efficiency.
Illustrative before-and-after Excel dashboard improvement using sample business data.
Additional AI SupportSupport business teams in applying Generative AI more effectively through practical evaluation, workflow improvement, and guidance.Services: AI output evaluation, prompt improvement, and AI-assisted workflow recommendations.Deliverable: Documented evaluation findings, refined prompts, and practical recommendations for business use.
Discuss Your ProjectHave a financial analysis, Excel reporting, or AI validation challenge?Contact Alford AI Consulting to discuss your business needs. Project scope, deliverable, timelines, and pricing are determined following an initial consultation.
AI Evaluation & Business ExpertiseApplying business experience to practical Generative AI evaluationMy AI evaluation projects combine experience in Finance, Budget Planning, Operations, and Human Resources with structured methods for assessing AI-generated analysis and recommendations.These projects demonstrate how I evaluate accuracy, identify unsupported conclusions, assess business risks, and apply professional judgment to determine whether AI-generated recommendations are suitable for business decision-making.These independent demonstration projects illustrate my approach to Generative AI evaluation business analysis, and decision support. They are not presented as completed client engagements.
Featured AI Evaluation Projects
Rubric-Based Approach to Evaluating AI OutputsDeveloped a structured evaluation methodology using a weighted rubric to assess Generative AI responses across Business, Human Resources, and Financial scenarios. The evaluation criteria included strategic thinking, business alignment, workforce impact, risk assessment, financial awareness, and executive communication.Demonstrated capability: Applied consistent evaluation criteria and professional business judgment to distinguish well-supported AI recommendations from responses that lacked sufficient analysis, practical relevance, or executive-level decision support.
Human-in-the-Loop AI: When AI Jumps to ConclusionsTested Generative AI responses to business scenarios involving ambiguous instructions, missing information, and conflicting requirements. Examined whether the AI recognized uncertainty, requested clarification, or generated conclusions without sufficient supporting information.Key finding: The evaluation highlighted situations where AI responses moved toward recommendations despite unresolved information gaps, demonstrating the importance of human review, clarification, and professional judgment before relying on AI-generated conclusions.
AI Chief Workforce Officer ChallengeEvaluated AI-generated executive recommendations addressing 20 workforce issues involving Finance, Human Resources, Operations, and organizational decision-making. Applied a structured evaluation rubric and professional business judgment to assess strategic relevance, workforce implications, financial considerations, and practical feasibility.Demonstrated capability: Reviewed AI-generated recommendations from an executive decision-making perspective, identifying which proposals warranted consideration and which required additional analysis, clarification, or supporting evidence before presentation to senior leadership.
AI CFO Challenge: Evaluating AI Financial Analysis and Business Decision-MakingEvaluated AI-generated financial statements and business recommendations using Excel-based validation and independent financial analysis. Identified calculation errors in the initial financial results, corrected the financial information, and submitted the revised data to a second AI model for independent analysis.Key findings: The validation process identified financial inaccuracies that required correction before further analysis. I then evaluated the second model's business findings and recommendations using a structured rubric and professional judgment to assess their financial reasoning, practical relevance, and decision-making value.
Let's Talk About AI
Have a finance, operations, or business-analysis project where Excel and AI could help? Let's talk.