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LoopMind
LoopMind is Reply's guardrail solution for the control and security of the operations carried out by Generative AI.
The solution
LoopMind is the AI guardrail that guarantees control, security and compliance over the operations carried out by Generative AI.
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A safe environment for integrating artificial intelligence into workflows
LoopMind is the guardrail solution developed by Sprint Reply to ensure control, security and compliance in the use of Generative AI within business processes.
Thanks to advanced monitoring features, which use generative AI models, and specific functionalities for human-in-the-loop and expert review, it offers to its operators complete visibility and control on workflows and automated operations using AI. LoopMind's human-centric approach supports compliance with the standards established by the European AI Act.
The main features
Able to support multiple use-cases within the organisation, LoopMind can be adopted as a centralised platform for control and monitoring of AI applications across business departments.
Advanced control and monitoring
LoopMind leverages LLM-as-a-judge approach enabling monitoring in near real time of operations carried out through AI within workflows, with the possibility of verifying the results and intervening with any changes. It allows to intercept potential errors, detect and prevent potential regulatory violations, ensuring compliance.
Human-in-the-Loop and review interface
The solution is designed to keep human intervention as pivotal role in processes, allowing to easily involve operators, when necessary, to control or validate ex ante the results generated by AI, combining technological capabilities with the skills and experience of the operators. It also supports ex post review of generated content.
Record-keeping and auditability
LoopMind stores all the logging and context information related to inputs and outputs of AI algorithms, evaluations and manual actions carried out by operators. This ensures full auditability and contributes to the constant improvement of algorithms, measuring quality and consistency of the outputs over time.
Multi-model support
LoopMind abstracts AI algorithms, enabling the usage of multiple models to optimize results and control costs, such as combining pay-per-use LLM (eg. GPT, Claude, etc.) for business-critical activities, while switching to more cost-effective LLM (eg. Mistral, Llama, etc) for others.
Ease of integration, enterprise ready
LoopMind is a containerised web platform based on microservices architecture, supporting both standardised and customisable integration within Enterprises’ application landscape. It supports several authentication mechanisms, enterprise integration patterns and deployment models (on premises and in cloud).
Some business applications
LoopMind is a centralised guardrail platform that can be applied to multiple use cases, ensuring that business operations carried out through artificial intelligence are reliable, precise and compliant.
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Control over complex data extraction
In processes where AI is used to extract information from complex unstructured data and documents LoopMind provides a human-in-the-loop interface, supporting users in reviewing and confirming missing or erroneous data points, validating and correlating against master data, ensuring that only correct information is used in subsequent steps of the workflow.
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Ex ante verification of GenAI-powered customer support automations
In the context of automated response to support tickets, LoopMind enables the qualitative control over responses generated by RAG-based AI systems and allows teams to intervene manually to modify or correct responses before they are sent to the user. Through an interface, the user is shown the grounding behind the generated response and is given support through GenAI to summarise or modify answers. This approach maintains a high level of personalisation and precision in communications.
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Conversational assistant (chatbot) ex post review
When GenAI-powered chatbots are deployed to provide answers to end-customers, LoopMind provides a near-real time automation evaluation and scoring of the generated answers using an LLM-as-a-judge technique. To ensure proper compliance, LoopMind implements an ex-post review workflow by sampling conversations to be reviewed by a human expert through a dedicated user interface.
Towards a SAFE and strategic integration of artificial intelligence in the company
Find out with our experts how LoopMind can guarantee a secure approach to artificial intelligence.
Sprint Reply is the company within the Reply Group specialising in Hyper Automation. Our mission is to develop automation platforms capable of solving specific business problems, supporting our clients in the transformation towards the Intelligent Enterprise and the adoption of a scalable and efficient Digital Workforce. At Sprint Reply, we combine an execution-oriented engineering approach with strong expertise in four technology families: Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning, and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence topics.