From predictive analytics to intelligent automation, AI drives efficiency, streamlines operations, and enables personalized customer experiences. Turn data into actionable insights and stay ahead of the competition with advanced, future-ready AI solutions.
Cut your development cost
Doug Edmonds, founder of Knowledge Leaps, a group of companies specializing in analytics and data, had some difficulties in the past when it came to developing software in-house.
'We couldn't keep up in terms of pay.' was the result when Knowledge Leaps started looking for software engineers in the United States.
This drove his decision to outsource the development of a very easy-to-use platform. Fortunately, after a long journey, Doug was recommended to SHE - and what started with a wireframe at a very low entry price ended up in the backbone of Knowledge Leaps' data business.
01
- Identify Potential AI use cases (Exploratory Workshops)
- Evaluate. prioritize and select use case(s) for prototyping
02
- Prototype, Design and development (collaborative or independently)
- User testing, feedback collection and iterative refinement
03
- Evaluate prototype performace, identify impovements and optimize
- Deeper AI expertise and prepare for scaling additional use cases
04
- Integrate optimized solution into existing software system
- Product deployment, monitoring & continuous enhancement