Agile AI Solutions
We are a generative AI engineering firm devoted
to grow AI engineering assets: a CoE, IP and product ambition.
1.
Be very (very) clear what value you want to deliver from your investment, and develop measurable performance criteria. Design a rigorous evaluation process that provides actionable feedback to improve the solution during development.
2.
Understand and model the human process. Identifying how an expert person would carry out the task can directly inform the design of a viable AI approach.
3.
Experiment using AI experts to select and implement appropriate AI technologies as low-cost proofs of concept. Use rapid iteration in an open and transparent process that engages people in your business with the AI team and makes for enjoyable joint learning.
4.
Leverage (in the true sense) the value of your existing, unique data to help the AI team to identify patterns, develop and test approaches. It may enable machine learning approaches where the AI learns directly from your unique business model.
5.
It's never just about the tech. You need to pull other levers beyond AI to get value from your digital investment, such as change management, project delivery, talent and innovation.