How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Human in the loop involves a human reviewer verifying the output of automated systems, such as the purchase order table, to prevent errors and ensure accuracy, by checking for compliance...
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AI timelines in finance are often prolonged due to data preparation, which involves standardising formats, correcting errors, and filling gaps, but once completed, AI can provide valuable...
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AsscherAi helps automotive manufacturers streamline processes by providing quick answers to common questions, such as comparing data from different suppliers, allowing category managers to...
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AI process automation in chemicals streamlines production by analyzing data from various sources, such as sensors and laboratory tests, to provide real-time insights and recommendations...
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Enterprise AI for supply chain management involves settling specific questions about data processing and storage locations to prevent security and privacy breaches, such as determining...
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AsscherAi helps measure ROI for supply chain interventions by tracking leading measures, such as equipment maintenance and supplier performance, to evaluate the true impact of changes and...
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Taking AsscherAi from proof of concept to production requires careful consideration of the costs and commitments involved, including the cost of supporting the system over time and...
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Enterprise AI governance for supply chain helps a category manager identify discrepancies in lead times by checking the latest shipment records, and ensures that the right people have...
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Grounding ensures answers are tied to specific sources, such as the purchase order table or inventory management system, enabling users to verify accuracy and understand context, as seen...
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AI cost optimisation for supply chain reduces total costs by analysing workflows and identifying inefficiencies, allowing a logistics manager to ask which items are tied up in inventory and...
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AsscherAi reduces incorrect decisions by identifying hallucination in query results, such as when a purchasing manager asks about supplier lead times and the system generates a response not...
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Enterprise AI adoption for supply chain management involves integrating new technology into existing workflows, such as a shift supervisor using real-time inventory updates to plan the...
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A category manager uses AsscherAi to compare supplier performance, identifying which supplier has the most reliable lead times and inventory levels, then asks what factors contribute to the...
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AI process automation in automotive streamlines production by automating routine tasks, such as checking maintenance logs and tracking component deliveries, allowing shift supervisors and...
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A customer service manager checks the purchase order table to answer a customer query, and considers how an enterprise AI system will affect this process, ensuring the system meets security...
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Measuring ROI for AI-powered customer service involves tracking changes in first contact resolution rates and time to answer, using data from systems like AsscherAi to inform process...
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A category manager evaluates natural language query systems by considering the commitment and costs of running another pilot versus investing in a full-scale platform like AsscherAi...
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Enterprise AI governance for customer service involves controlling access to sensitive information, tracking interactions, and ensuring data quality, as a customer service representative...
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A golden dataset ensures AsscherAi returns accurate results by testing its ability to retrieve data from tables like the purchase order table, but its effectiveness depends on comprehensive...
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AI cost optimisation for customer service reduces spend by analysing workflows and identifying areas for improvement, such as caching, batching, and model routing, allowing organisations to...
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Implementing AI guardrails in AsscherAi involves setting constraints on what the system may retrieve or disclose, such as restricting access to sensitive employee data, to prevent...
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Enterprise AI adoption for customer service streamlines workflows by integrating with existing software, allowing representatives to access information quickly and provide informed answers...
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AsscherAi helps customer service teams resolve issues efficiently by providing quick access to relevant data, such as ticket history and knowledge base articles, enabling them to answer...
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AI process automation for supply chain helps category managers make informed decisions by querying the organisation's own data in real time, reducing reliance on manual checks and ad-hoc...
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