The practical application of AI
4 things your business can do right now
Feeling overwhelmed by the AI revolution? Since ChatGPT burst onto the scene in 2023, artificial intelligence has taken the business world by storm. The potential for AI to transform your company's efficiency, productivity, and customer experience is staggering.
Imagine cutting customer service response times by 90% or improving basket completion by 40%. But here's the problem: how do you cut through the noise and identify the real opportunities for your business? It can be a daunting task.
Don't worry, we’ve got you covered. We've been pioneering AI solutions for over 7 years, long before it became the talk of the town. Our team has been hard at work, delivering state-of-the-art AI applications to businesses worldwide. We're not just theorists; we're practitioners who know how to turn AI's promise into tangible results. With expertise across major platforms like OpenAI, Anthropic, Google, AWS, and Microsoft, we're uniquely positioned to help you bridge the gap between AI's potential and its practical application in your business.
As AI continues to transform the business landscape, we're here to help our clients capitalise on the opportunities this ground-breaking technology offers. We can help with practical support and guidance.
If you're struggling to find your way through the maze of possibilities and under pressure to do something, here are four high-impact, relatively straightforward AI solutions you can start with right now:
1. Implement an AI “superchatbot” for customer service
Take a look at your customer service team workload. If they have lots of similar questions that come up time and time again, you should consider implementing an AI superchatbot! Training an AI like ChatGPT, Claude or even Perplexity on your customer service data, information manuals and even your website could save thousands of hours of service information requests, freeing up staff to deal with complex queries, requiring real human input. This interface can even be used to respond to email requests for help, escalating only the most difficult requests.
2. Analyse user-generated content at scale
If you have to handle large volumes of user generated text like reviews or feedback, that’s a job made for large language models which can process hundreds of thousands of words and make sense of them, providing near real-time feedback on your product or service, we’ve been doing this for ages with app reviews, monitoring user sentiment, checking for common issues, improving the product roadmap and along the way, dealing effectively with some of the darker elements of the web.
3. Harness AI for large-scale image analysis
Use AI to assist with large volume image analysis. We’ve taken tens of thousands of cameraphone images generated for a client and analysed them using links to LLMs via their API’s to assist in digital analysis. We’ve found an incredible degree of accuracy almost out of the box, enough to rival professional analysis!
4. Enhance product guidance with AI
If you have complex products, with highly technical specifications, use AI to help your prospects with the age old “tyranny of choice” Train up an AI to provide helpful answers to common questions. You can do this in an online or retail environment, with helpful suggestions and upsell where appropriate.
As with all technology or innovation projects, it’s important to understand the opportunity and where AI integrates in to your existing systems You can do this by doing an in-depth business and cost benefit analysis.
Don’t forget we have experience with the practical applications of AI, why not drop us a line to find out what we could do for you?
Ash
Managing Director