How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Applying AI to executive leadership requires careful planning, starting with mapping out processes and identifying areas where AI can add value, to avoid common mistakes such as automating...
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A production manager uses AsscherAi to investigate deviations in output against plan by querying the system on cycle times, scrap rates, and maintenance history, then adjusts production...
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Implementing AI for operations in textiles and apparel enables a category manager to identify supplier delays and a shift supervisor to plan maintenance, by providing real-time insights...
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Implementing AI in human resources requires careful planning, otherwise it can lead to automating inefficiencies, inaccurate information, and poor decision making, a human resource manager...
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Procurement deployments of AsscherAi rely on data from specific systems, including the purchase order table and supplier contracts, to provide relevant responses, and missing systems can...
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Generative AI streamlines printing and packaging operations by enabling real-time queries, such as which jobs are running behind schedule, and providing immediate answers to inform...
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Implementing AI in finance requires careful consideration of existing processes and systems to avoid common mistakes, such as automating unmapped processes or relying on incomplete general...
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AsscherAi requires access to process records, project status, and supplier performance data to provide useful answers about an organisation's operations, as a shift supervisor checking the...
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Agentic AI workflows in textiles and apparel improve range planning by integrating with ERP systems and CRM software to gather data and take action, enabling companies to optimize...
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AI for operations in pharmaceuticals streamlines manufacturing by enabling real-time queries on production data, allowing shift supervisors to identify exceptions and take corrective action...
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Measuring AI impact on supply chain efficiency requires tracking lead time variance and fill rate, as a category manager would, to evaluate the performance of an AI-powered forecasting...
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A maintenance manager uses AsscherAi to query the work order system, asset history, and spare parts inventory to determine which assets are due for routine maintenance, and the AI system...
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Agentic AI workflows in printing and packaging minimize setup losses by optimizing production schedules and automating quote generation, allowing a shift supervisor to focus on maintenance...
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AsscherAi helps metals and mining organisations answer operational questions in real-time, such as what is the current production rate, or what are the maintenance schedules for heavy...
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Effective AI metrics in customer service involve tracking first contact resolution and time to answer, enabling teams to assess the technology's impact and make data-driven decisions to...
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AsscherAi requires access to specific systems like consolidated financials and operational KPIs to provide complete answers for executive leadership, as a category manager comparing...
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Agentic AI workflows in pharmaceuticals can streamline batch record review by automating data collection and analysis, allowing the category manager to focus on verifying results and...
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Logistics operations teams can use AI to investigate shipment delays by querying data on carrier performance, shipment status, and exception records, then acting to intervene while the...
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Measuring AI in sales requires isolating its impact on metrics like forecast accuracy and win rate, by establishing a baseline before rollout and accounting for external factors that may...
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AsscherAi requires access to specific human resources systems, including the policy library and headcount and skills database, to provide accurate suggestions for recruitment and talent...
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Implementing agentic AI workflows in metals and mining can optimize production planning by accounting for grade variability and equipment maintenance, allowing shift supervisors to make...
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AI for operations in healthcare providers streamlines decision-making by providing real-time answers to operational questions, such as patient flow, resource allocation, and supply chain...
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Measuring AI in research and development requires tracking leading measures like failures found before validation and effort against stage, allowing teams to identify potential issues early...
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A finance manager reviewing the company's cash flow statement can use AI to analyse data from the general ledger, budget system, and purchase orders to identify areas for cost reduction, by...
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