How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
AI-powered procurement tools help category managers optimize spend by analyzing contract terms and identifying areas of fragmentation, allowing them to renegotiate contracts and consolidate...
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AI process automation for production streamlines routine tasks and decision-making processes by analyzing production data, reducing unplanned downtime and improving overall efficiency...
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AsscherAi mitigates security risks by processing data on the organisation's own internal servers, eliminating cloud-based storage and reducing cyber attack risk, enabling a procurement...
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Operations managers use AsscherAi to measure ROI by analyzing leading measures such as task completion rates and exception rates, enabling timely interventions and data-driven decisions to...
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A production planner using AsscherAi's conversational analytics can ask what orders are pending, on which production line, and what materials are required, then adjust the schedule while...
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AsscherAi helps operations teams identify anomalies by providing real-time answers to questions about project status, budget consumption, and supplier performance, enabling them to take...
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Citation in AI answers provides transparency by referencing the original data source, such as the purchase order table, allowing users to verify accuracy and understand context, as seen...
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AI cost optimisation for operations reduces spend by analysing workflows and identifying areas for improvement, allowing the operations director to make informed decisions about where to...
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Data lineage in AsscherAi involves tracing the origin of a number in a report, such as a financial analyst querying the organisation's financial data, then using data lineage to understand...
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Operations teams use AsscherAi to identify bottlenecks in their workflows by asking questions about project status and resource allocation, then adjust their plans to optimise throughput...
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AI productivity in operations streamlines tasks by providing real-time insights from existing data, enabling shift supervisors to optimise maintenance schedules and category managers to...
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AI process automation for procurement streamlines workflows by automating manual handoffs and data transfers, allowing category managers to focus on strategic decisions, such as analysing...
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A maintenance manager uses AsscherAi to query the work order table and identify recurring issues with specific assets, then checks the maintenance log to see if the issues are due to...
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A maintenance manager uses AsscherAi to investigate the impact of a new predictive maintenance system, tracking leading measures such as planned maintenance tasks and condition-based...
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Implementing a chatbot, copilot, or agent for the maintenance log requires evaluating the team's needs and goals, considering the skills and expertise of the team, and assessing the...
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Enforcing permission at retrieval is crucial for enterprise AI governance in maintenance, as it ensures sensitive data is only accessible to authorised personnel, such as shift supervisors...
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Chunking enables AsscherAi to process large documents by breaking them down into smaller, contextual pieces, allowing a category manager to quickly compare suppliers and retrieve relevant...
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AI cost optimisation for maintenance reduces unplanned downtime by analysing workflows and identifying areas for cost reduction, allowing maintenance managers to make informed decisions and...
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An enterprise copilot helps a category manager compare suppliers in the procurement system by providing relevant information and guidance, such as suggesting alternative suppliers or...
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Enterprise AI adoption for maintenance streamlines workflows by identifying trends in work orders and asset history, enabling teams to prioritise tasks and reduce downtime, as seen when a...
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AI-powered tools like AsscherAi help maintenance teams redeploy time saved from routine tasks to proactive activities, such as analysing condition data to predict potential failures, by...
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AI process automation for operations streamlines workflows by mapping current processes, identifying inefficiencies, and automating handoffs between teams, such as when a category manager...
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AsscherAi's security features enable executive leadership to query sensitive data in real-time, while preventing prompt injection attacks by implementing robust access controls and regular...
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Executive leadership measures AI ROI by tracking leading indicators such as employee usage and insight frequency, rather than relying on lagging metrics like revenue or profitability, which...
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