AI Implementation & Strategy
Getting the results that justify the investment
Machine learning and artificial intelligence have been around for decades. With the release of ChatGPT in late 2022, it’s no longer necessary to be an advanced computer scientist to take advantage of AI. Fast forward to today, and the toolsets have advanced faster than Moore’s Law would have predicted. If your company is like most, you have already made significant investments. The question is, “Have you achieved the gains you thought you would?” If the answer is not a resounding “YES,” it is time to reevaluate the strategy.
How can Mackenzie-Maxwell help?
AI Strategy
Assessment
Evaluate existing AI strategies and efforts or develop your company’s AI strategies. Provide actionable recommendations and implementation based on a detailed plan demonstrating level of effort, cost to implement, and ROI to provide a balanced approach between quick wins and long-term benefits with clear tradeoff analysis. Determine where to use Generative AI versus Agentic AI. Comprehensive evaluation of existing data sets and gap analysis of data based on goals of AI strategies. Many AI implementations fail because the data used to train them is not complete, lacks clarity or simply needs to be cleaned up. The information that is used to train these models needs to be well vetted or the results are typically lackluster, or the QC cycles never end and the automation is never achieved.
Preparing
People
Identifying needed skill enhancements, helping teammates upskill as needed, and helping teammates prepare for the transition of how work will be done with the goal of making teammates and the company more efficient.
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