Drive process efficiency with applied AI

Applied AI helps organisations deliver more efficient processes. Machines are excellent at detailed routine processes. However, they are still no substitute for highly skilled staff. Bringing together data, maths and technology allows the machines to process routines and checklists. It 'removes the boring' and allows staff to focus on more engaging and rewarding work where their skills are best put to work. We work with clients to map processes, data and technology so that we can build more effective and more efficient systems. We do this by combining techniques such as machine reading, computer vision, classification, advanced forecasting and recommendations.


  • Better customer experiences.
  • Products and services with higher levels of efficacy and efficiency.
  • Superior business decision making (using predictive and prescriptive analytics).
  • Employees that focus on more exciting and more productive work.
  • More efficient interaction with suppliers and other stakeholders.
  • Self-learning systems that improve over time.
  • Competitive advantage.


Applied AI is an exciting, fast evolving space. There is a wide range of models and approaches used by AI and machine learning practitioners. Depending on the situation, we apply an optimal mix of approaches spanning regressions, tree based models, gradient boosting, neural networks and the highly dynamic realm of deep learning models.

Applied AI Methods:

Applied AI rarely relies on a single model that is off-the-shelf and ready to go. We design, deliver and manage applied AI solutions that enable clients to accelerate innovation and realise process efficiencies. We begin from a user centric perspective, use a data driven design approach and then develop prototypes using a business agile process. We combine the best elements of service design, pragmatic data science and financial evaluation. Our expertise and wide portfolio of frameworks means that we can quickly launch and iterate new solutions.

Here are a few of the applied AI methods that we use to deliver process efficiencies:

  • Forecasting: what has happened and what is likely to happen next.
  • Classifying and identifying: for detection and compliance.
  • Similarity methods: for detecting outliers.
  • Grouping and clustering: for recommendations.
  • Computer vision: for detection and classification.
  • Machine reading: for document / verbatim synthesis and interpretation.
  • Process Automation: what is likely to break, when and what should be fixed.

Getting Started:

Learn more about how we accelerate applied AI using our frameworks here.

Learn more about how we apply AI across different sectors here.

Looking to deliver process efficiency with applied AI? Get in touch now so that we can help you.