The Bandwagon
Like with every growing trend, people, businesses and organisations like to jump on the so-called ‘bandwagon’ even if they don’t necessarily know what the bandwagon is, what it's for or where it's going. AI has seen a lot of businesses adopt AI strategies & use AI software for tasks they don’t even necessarily need AI for. This leads us to the first point…
Finding a Genuine Requirement
When it comes to using AI, you should start with finding a genuine requirement. Find a real problem that AI can solve - don’t just use AI for the sake of using AI. Doing so can ultimately cause laziness in the workplace & actually cause a negative dip in the quality of your team's work.
An example of a genuine requirement for AI could be that your sales teams are overloaded with customer enquiries. While this may look good to the boss on paper, having an overworked, stressed sales team will only lead to decreased functionality and could leave you without any staff (people don’t like to be overworked, as I'm sure you’d agree?
A good fix for this would be to look at integrating an AI chatbot to handle some of these enquiries to release some pressure from the sales team. Doing so would free up time for the sales team to focus on other important tasks and manage their workload much better. It would make your sales team much happier too, and who doesn’t want a happy sales team?
How to Find & Assess Problems within Your Business
You should start by clearly outlining the problems you believe AI could solve. Is that customer service, is it to improve your marketing or maybe automating repetitive tasks?
Take a few moments now and think about the problems you’re facing within your business. Once done, go through these problems one by one and ask yourself,
“Could AI solve any of these problems?”
Maybe it's a chatbot to make your business more responsive & reduce the load on your customer service team by filtering genuine questions from frequently asked questions that a chatbot could handle. Or it could be AI automation to streamline repetitive tasks such as filing, & organising documents - or sending emails to customers.
Helpful AI Tools
Once you’ve highlighted the problems AI could solve for you, it’s now time to actually find the AI tools to help. Look for time and money-saving benefits while still retaining human oversight for quality control. A few relevant options are:
AI-Powered Document Tagging & Classification Tool
We could create a tool that automatically scans documents and organises them by tagging and categorising based on content. This would be especially useful for companies that handle large volumes of documents and need a way to easily search and retrieve files.
Smart Document Summariser & Search
An AI-based document summariser that condenses lengthy documents into key points. Users could search for documents based on these summaries rather than opening and scanning through each one manually. Perfect for teams managing reports, contracts, or research papers.
Automated Document Redaction Tool
A tool that uses machine learning to detect sensitive information (like personally identifiable information or confidential terms) in documents and automatically redact it. It could be invaluable for legal teams, government agencies, or healthcare organisations handling sensitive data.
When choosing your own AI tool, consider ethics, your AI tool should align with ethical standards to build trust with your audience.
Next Steps
A good thing to do after choosing an AI software or feature is to plan your adaption. Start small, test the capabilities of the AI tool or software i.e. if you’re deploying a chatbot, only enable it at certain times of the day and monitor engagement with the bot.
Try encouraging team training within the business so everyone is comfortable and confident using AI. Employees shouldn’t be ’scared’ of AI, it should empower them to work more effectively.
If you’d like to get in touch and explore which AI tools Tribus could build for your business, click here.
