Competitive organisations cast the ideas net wide, and you can end up with more ideas for solutions than you know what to do with. Not knowing which ideas to back, or how much investment to back them with, slows progress from ideas to business outcome. Worst case, the ideas never see the light of day.
Curvestone brings a structured approach to working through your idea portfolio. By gauging risk, validating the business case and testing the technical feasibility we ensure that the highest potential solutions are progressed through to full build and release. This portfolio approach manages the risk and leverages the investment. Simply put, we accelerate ideation through to business outcome.
Identify which ideas can be solved through automation or ML, which can be solved together, and assess their complexity.
Prioritise ideas based on objectives, strategic importance and ROI.
Conduct short, time-boxed investigations, designed to remove ambiguity from the idea by documenting the associated pain points, opportunities and future vision for the solution, before moving to the next stage.
Cut through the idea portfolio at pace.
Build a deeper understanding of the problem and required approach to inform technical strategy. Collect detailed requirements, create high-level specifications.
Remove critical unknowns and eliminate solutions that aren’t feasible prior to further investment.
Develop prototypes to test assumptions. Perform technical reviews of tools that already exist within the organisation or are offered by third party suppliers.
Remove critical unknowns and eliminate solutions that aren’t feasible prior to further investment.
Turn technical ideas into reality. Build production ready systems that are tested, secure and ready for live engagements.
Build production ready systems and deploy on real engagements.
The growing necessity of Data Analytics & Artificial Intelligence in Venture Capital
How we helped our client increase the service offered without scaling with people
How we automated complex workflows to increase productivity and reduce risk
Together with PwC, using problem-centric thinking and the latest advances in technology within this space, we were able to test the application of Optical Character Recognition (OCR) and Machine Learning to process complex documents at scale. We broke new ground in how neural networks can be applied to document scanning, extraction and analysis.
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