AI Use Case &
Case Study Library

Accelerate Application Modernisation with AI Code Refactoring

Accelerate Contact Centre Agent Training and Onboarding with AI

Accelerate Credit Analysis with AI Balance Sheet Review

Accelerate Drug Discovery with AI Protein Structure Prediction

Accelerate and support key processes with improved human-robot collaboration

Flexible robots that can mimic and work alongside humans are sometimes known as Cobots. This is key as humans and robots can still do different jobs better and if they can work alongside each other without risking injury to humans then this increases flexibility for deployment in manufacturing.

Accelerate claims processing by automating processes

Accelerate claims processing by automating processes - this might including automated customer recognition or data capture to speed activity up

Accelerate data analytics with conversational interface

Use conversational interfaces to analyse business data. The ability to ask conversational questions (e.g. "what is driving this correlation?") offers potential convenience, speed and reduced Business Intelligence costs. Will increasingly become a tool layered in to other applications / use cases.

Accelerate data integration from multiple sources

Combine source data from different sources into meaningful and valuable information

Accelerate drug discovery by automating research stages and data integration and analysis

Researchers are taking advantage of computational power to analyse vast amounts of data on drugs and their interactions. Enhancing the drug research process by advancing data mining, integration and analysis as well as testing can result in quicker drug and cure discovery for known diseases.

Accelerate eDiscovery Document Analysis with AI

Accelerate identification and protection of intellectual property

AI tools guide lawyers in analysing large IP portfolios and drawing insights from the content especially to protect against infringement. The acceleration of patent searches enables legal focus on the critical issues.

Accelerate identity verification for new and existing customers

Accelerate identity verification (e.g. photos, biometric reading) for new and existing customers. This enables offering of enhanced services and greater security.

Accelerate product discovery based on modelling of components

Accelerate product discovery based on modelling of components - potentially millions of input options can be modelled to ascertain the most promising.

Achieve 10.5+ Hour Monthly Developer Productivity Gains at Financial Exchange

Achieve 96% Employee AI Adoption in Workers Compensation Carrier

Achieve 97% AI Adoption Through Measured Productivity Evidence

Address employee concerns anonymously

Employees in conversation record an account of their concerns and issues which is automatically captured and transcribed. HR gets a detailed report and can conduct follow-up interviews through the bot. Potentially, employees can stay anonymous if they so choose.

Alerting and diagnostics from real time patient data

Alerting and diagnostics from real-time patient data - this might include, for example, warning of a life-threatening incident such as a heart attack.

Allocate access to public goods such as healthcare for individuals

Using algorithms to allocate access to public goods. This may be to distribute access fairly, efficiently, effectively - or for more broad political goals (minimise dissent and reward behaviour).

Allocate cloud compute resources in real time for web and mobile applications

Monitor application performance for cloud compute resource allocation - scaling up or down and switching on or off capacity in response to web and mobile application usage numbers.

Analyse Customer Experience Survey Data for Actionable Insights

Analyse Fleet Telematics Data at Scale for Safety and Sustainability

Analyse HR data to provide support to employee satisfaction

HR analytics are used to analyse and measure a variety of factors to predict likely staff satisfaction and predict potential trajectories. Models can be used to assess likely factors driving key business metrics - for example the impact on staff retention.

Analyse Health Equity Gaps with AI for Targeted Interventions

Analyse Social Media Voice Data for Brand Intelligence