Solving complex problems with document-understanding AI.

Delivering AI-assisted business processes

 

Fluence is an AI-implementation company specializing in applied linguistics.

We help high-performance teams embed linguistic-AI into processes involving language and documentation.

Fluence acts as your AI-implementation partner, helping your team navigate the complex journey from data-preparation through to AI-exploitation.

Whether you are seeking to improve sales performance or standardize organizational processes, Fluence’s powerful machine learning capabilities helps you understand what is really happening within your organization.

Our team has developed powerful document-understanding AI and wrapped it into a proven implementation framework designed to shield clients from cost, risk and complexity.

We embed well-considered AI into your existing business processes in order to help distributed teams to handle complex documentation with a greater level of precision, speed and control. 

” It has been wonderful working with Fluence. They are an exciting and innovative bunch and have found several solutions to deal with the challenges of our context. I have been fortunate enough to speak with them regularly and have taken so much away from our collaboration. “

Steve Grix, Digital Learning Lead, Novus

 

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Introducing the Fluence Engine

Our team has spent four years perfecting the Fluence Engine™, a cutting edge natural language processing AI able to interpret complex documentation based on your values and preferences.

We have successfully combined Natural Language Processing, Forensic Linguistics and Machine Learning in order to mimic and augment the subtle decision logic of skilled professionals.

The Fluence Engine™ is powering a revolution in intelligent automation.

 

Your journey to intelligent process automation

Powered by the Fluence Engine™

Understand your data universe

We will map your unstructured data to reveal patterns in performance and to review the automation-potential of your data.

  • Define the macro and micro indicators of performance hidden in your unstructured data.
  • Codify company-wide language usage, and how it relates to performance.
  • Reveal industry or time-related trends in your documentation.
  • Analyze the impact of language relative to company outcomes

Stress-test existing processes

 

Fluence develops predictive models to designed to scrutinize existing processes. These models reveal process bias and inconsistency, thereby ensuring that the AI offers a true reflection of your company’s logic and values.

 

  • What is the commonality of strong/poor performance?
  • Are there indicators of bias and process inconsistency?
  • Where can AI add most value to core business processes?
  • What is the optimal human/AI balance?
  • What level of supervision will the AI require?

AI-exploitation and continuous improvement

Time to reap the rewards from your AI-investment. Once your team is satisfied that the models are stress-tested and operate as intended, you are ready to implement the service in real-time. 

Connect existing data platforms to Fluence’s API to access dynamic document feedback:

  • Document insights (purpose, context or classification)
  • Document triage (quality, relevance and suitability)
  • Document predictions (probable outcome and candidate rank order)
  • Automated actions (e.g. when outcome ‘x’ is detected, AI to perform action ‘y’)
  • Business intelligence (monitor and detect changes in organizational process or decision-behaviour)

 

USE CASE: PRISON REFORM

 

Humans and AI working together to improve lives.

Find out more about how Fluence is helping Novus drive quality, consistency and efficiency into the prison education sector.

 

“Fluence has helped improve the overall quality of our work, providing our experts with instant, contextualised feedback on the quality and suitability of questions. This work is leading to several other exciting areas for CCEA”
Justin Edwards

CEO, CCEA

“Our collaboration with Fluence is a key sustainable development investment; looking to the future of integrating technology into our teaching, learning and assessment. Their technology is opening up new possibilities.”
Steve Grix

Digital Learning Lead, Novus