Engagements Model
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1
Thought leadership
Our team’s position at the bleeding edge of AI technologies, combined with its entrepreneurial experience across a range of industries, helps customers identify new opportunities.
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2
Investigate user problems
Deep engagement with our customers, and their customers, allows us to gain an in-depth understanding of the problem at hand, leading to real empathy and a desire to provide a suitable, practical solution.
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3
Ideate
Numerous creative solutions are put forward and tested iteratively with customers. The key assumptions of the most promising ideas are documented.
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4
Data analysis and model building
Data is acquired, wrangled, analysed and used to build models which test the assumptions underpinning possible solutions. Key success metrics are also modelled to assess the expected viability of the solution.
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5
Prove concept via POC build
A first version of the solution is built to allow for testing with users in a live environment and key success metrics are evaluated.
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6
Productionise
Upon a successful POC, the solution is battle-hardened, prepared for scale and widespread adoption.
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7
Measure
Broad instrumentation is put in place to collect high fidelity data concerning how the solution is used and how it performs. This is continuously monitored and evaluated in order to refine the solution.
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8
Manage organisational change
Changes to the existing status quo inevitably meet resistance, therefore effectively preparing people for this change is critical to the success of a project.
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9
Scale and iterate
Changes to the existing status quo inevitably meet resistance, therefore effectively preparing people for this change is critical to the success of a project.
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