Implementing AI in your business doesn’t have to be complicated.
Our team has been delivering IT consultancy services since 2010 and have helped hundreds of companies adopt new technologies.
Now that AI technology has reached a level of maturity that makes it accessible for every company, we’re helping our clients implement high-impact AI solutions into their business.
How we’ll work with you to implement AI:
Needs and goals analysis
Our team will gain a thorough understanding of your business processes, pain points, and objectives. This will inform our recommendations as to what AI solutions will provide the greatest ROI.
Data assessment and optimisation
We will assess your data quality, completeness, and relevance. Verifying the integrity of your data is a critical step to ensure the accuracy of the insights and predictions from your AI models. This may include data cleaning, data integration, and data enrichment.
AI solution development
Once the data is optimised, our AI consulting team will develop models to solve the business problems we identified in the first step. These solutions could be anything from chatbots, to fraud detection models. For a list of additional AI use cases, see here
Testing and validation
Our rigorous testing process will give you confidence in the accuracy, reliability, and scalability of your solution. This may include training the models on more data, testing the models on real-world scenarios and validating the results against predefined metrics.
Deployment and monitoring
Once we’ve developed, tested, and validated, your AI solutions we’ll deploy them in your environment. Cloud Solutions Group also have well established support services and can provide ongoing monitoring and maintenance for your solution.
AI Use Cases
Develop AI-enabled tools for your business that are tailored to your specific use-case. By creating your own solution, you can begin building unique business intelligence.
And by leveraging Microsoft’s Power Apps tools, we can make this a reality at a fraction of the cost.
Automate customer support and provide personalised assistance that is tailored to your business. Advancements in Natural Language Processing means you can deliver better user experiences while gathering valuable insights to further train your helpdesk bot and continuously improve customer support.
There are significant opportunities to automate HR processes, such as candidate screening, onboarding, leave management, and performance evaluation. The reduction in repetitive admin tasks gives HR teams more time to focus on strategic initiatives and talent development.
Extract information from visual data to improve productivity through object detection and automated analysis. This can be used to process data from paper forms, or to classify images such as x-rays and other medical imaging.
Inwards Goods Optimisation
Streamline the receiving and inventory management process using AI algorithms and data analytics. Improve operational efficiency with task automation, such as goods identification, quality control checks, and inventory tracking.
Analyse customer feedback, social media posts, or surveys to determine the sentiment behind the text. This can help you gauge customer satisfaction and make data-driven decisions.
Monitor and analyse sensor data from machinery and equipment. By detecting patterns and anomalies, you can predict maintenance needs and prevent costly breakdowns or downtime.