We first work with you to gather all your requirements of the AI project. This helps us understand the desired final output and the key objectives to be met. We’ll then assess all available resources, current workflow, and where you would like to get AI to support your business.

Poor planning leads to poor performance, which is why we make sure to plan everything carefully. Our plan showcases the milestones we’re aiming to achieve and the overall timelines for the project. Usually, we follow agile methodologies, but we can adopt other methods where preferred or required by your business.

Our engineering team are awesome. They’ll look at your business to make sure we’re using the right AI tools for the job, aligning what you’ll benefit from best with your core objectives. Then, they’ll create the different environments required, including staging and pre-live. We will also take care of any licensing that needs to be in place to use the right AI model.

We use a test-driven development (TDD) approach, which means we create user story cards for each individual piece of development work. Once the development is done, each user story is tested automatically, and manually by our QA team. We will also configure and train the model based on the requirements to make sure that the underlying AI is producing the right output for your business.

After we’ve developed and completed the web app, we give it all one last test to make sure it’s of the best quality. Our QA engineers go through all the agreed devices and browsers, using different scenarios, to ensure everything’s working without any bugs and producing the right results for you and achieve your business objectives.

It’s time to go live! We’ll make sure your live server is secure, and optimised for the best performance possible. Then, we’ll provide training and ongoing support on a monthly retainer, making sure your applications are constantly looked after and can grow whenever you need them to.