These short case studies give you an overview of AI engines being used in different environments.
An AI assistant for social workers and service managers is designed to help transform children's social care delivery.
Using knowledge.engine teachers are now able to share resources and personalise learning for individual students.
Implementing knowledge.engine enabled service engineers instant access to all the relevant documentation and information from previous support calls.
Implementing knowledge.engine trained on technical, product, and company documentation, support staff have instant access to the information they need to answer.
Using policy.engine trained on their documentation, people can now ask any questions of the programme in any of up to 50 languages, any time and on any device.
Knowledge.engine enabled Hryax launched EcoPlanAdvisor which answers any potential customer questions in language they understand.
Using education.engine trained staff can quickly and easily answer any questions that potential students may have.
Working with a sector leading organisation, api.engine can now interrogate the MIS data in real time.
The bid team now use proposal.engine to get model answers in seconds.
Using data.engine we were able to identify key drivers of increased activity, including which advertising campaigns and platforms were most effective.
Implementing instant.engine has transformed the way they work. They can now upload documents, analyse and summarise them in seconds.
web.engine uploaded all the company’s technical documentation. Website visitors can now get the answers they want, in the language they want, easily and quickly.
Corams Innovation Playbook uses our knowledge.engine to enable frontline staff, service leaders and the wider public find key information quickly and easily.
We worked with Morley College to create a policy.engine trained on the College’s 64 policy documents.
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