18 01732 759725 AI Kit Cox, Founder and CTO of Enate, outlines how to successfully implement AI and empower employees to take ownership of its possibilities AI augmentation, not replacement. Your AI journey Before thinking about implementing AI into any process you need to identify potential use cases, set clear goals and understand how AI can help you achieve them. Jump into automation and AI without knowing who’s doing what and with what resources and chances are you will need to redo everything a year later. A detailed plan from the start will help anticipate challenges you may encounter along the way. Automation & AI involves more than just adding technology to a process. It represents a significant transformation in business operations, fundamentally altering how individuals perform and engage with their work. The best way to determine which AI tools will benefit you most is to conduct a comprehensive review of your business processes, paying close attention to manual and repetitive tasks. For example, if your workflow involves extensive forms management, AI tools such as Intelligent Document Processing can automate data entry and save considerable time. Similarly, if you're overwhelmed with service emails, tools for email triage and sentiment analysis can greatly enhance efficiency. AI is a broad term, so it’s important to differentiate between the different types of AI and automation technologies (e.g. RPA, Rule Engines, iPaaS or low-code solutions), which will require a different implementation to AI. In my view, AI can be split into three variants: models developed by data scientists to predict outcomes; narrow-field AI for specific tasks like invoice processing; and generative models like ChatGPT that have a wide range of applications. Familiarising yourself with these distinctions will give you a better understanding of the unique applications of AI and help you see where AI can most effectively be integrated into your processes. Don’t let security be a deterrent It’s perfectly normal to worry about the security of AI. While security clearly needs to be a top priority, there are numerous situations where AI can be implemented with minimal risk, provided a reputable model is employed. In creative fields like graphic design, coding or copywriting, adopting GenAI is a low-risk venture. Our own copywriters depend on AI for proofreading, while our coders use it to draft their initial code. These teams, equipped with established procedures for testing, quality control and validation, find AI essential for speeding up routine tasks. On the other hand, in roles focused on 'delivery,' 'process' or 'execution,' it's vital to establish safeguards around GenAI and manage associated risks, for example by having a method to measure expected outcomes and a clear policy on data management It’s mad to think that two years ago ChatGPT didn’t exist. The pace at which the AI revolution is moving is already making the world of business operations that we built for ourselves in the 20th century look outdated. With the recent boom in Artificial intelligence (AI), it’s now much easier to imagine your team spending less time on repetitive tasks and more on strategic, valueadded work. Nobody wants to be bogged down in manual work, and we no longer have to be. That's the promise that AI makes, and it’s one we can all get excited about. But there’s a downside – the complexity of AI implementation, which many businesses either underestimate or ignore. Every week there seems to be another invention or update to existing technology presenting a myriad of benefits alongside fresh challenges and opportunities. Recent developments from Google Gemini and Open AI, for example, widen the scope of what’s possible with AI, but is the world ready? Then, there are the technical challenges of security, compliance, implementation costs and the urgent need for training. Outdated IT systems are another hurdle to clear before you can fully embrace AI. Aside from the technology itself, there’s the human element to think about. AI has been created by technology companies; your employees didn’t ask for it and you can’t blame them for being concerned about the prospect of a new technology to get to grips with or the risk of AI job replacement. Being receptive to their fears and working with your team to promote AI as a personal assistant, rather than something that is going to steamroll jobs, is the way forward. Responsible employers should always strive for human and The power of AI, unleashed Kit Cox is the Founder and CTO of Enate, provider of a workflow orchestration and AI platform designed to help businesses automate manual tasks and deliver on time. www.enate.io.
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