Practical AI features and workflow automation

Fyznix adds AI features and automation to products and business processes where they solve a clearly defined problem. We start by agreeing the task, the data it depends on and how results will be checked, so the scope is clear before anything is built. We then design how the feature fits into your existing systems and workflows, build it in small, iterative steps with regular progress updates, and test it against representative examples of the work it has to handle. We are open about what an AI feature can and cannot do reliably for your use case, and about the status of the project at every stage.

• A clearly defined task for the AI feature or automation, agreed up front
• An integration designed around your existing systems and processes
• Testing against representative examples before release
• A plain assessment of where AI is reliable for your use case, and where it is not

1. Discovery

   We define the task, the inputs it depends on and how good results will be judged, before choosing any technology.

2. Architecture

   We decide where the AI or automation sits in your systems, what data it can access and how its output is checked.

3. Design

   We design how people use and review the feature, including what happens when the output is uncertain or wrong.

4. Development

   We build the feature in small, iterative steps and report progress at each stage.

5. Testing

   We test against representative examples and share what works reliably and what does not.