How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Implementing AI in maintenance requires a readiness checklist to ensure connected data, agreed-upon definitions, and decided permissions, allowing a maintenance team to ask questions like...
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AsscherAi integration with sales data helps a sales team identify trends and insights by analyzing historical sales, order book, and pipeline data, enabling them to adjust their sales...
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Throughput in AI systems like AsscherAi is critical for large organisations, as it determines how many users can query the purchase order table or production schedule simultaneously without...
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AsscherAi helps a category manager compare supplier contracts by answering questions about contract terms and conditions, enabling them to identify areas for cost optimisation and...
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Agentic AI workflows for executive leadership streamline decision-making by integrating financial, operational, and sales data to inform strategic choices, enabling leaders to ask questions...
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Enterprise AI streamlines maintenance planning by analysing asset performance and crew availability, enabling operations managers to make informed decisions and reduce downtime, for...
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A logistics finance manager uses AsscherAi to investigate current financial performance, asking what costs are currently exceeding budget, and how they compare to the same period last year...
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A chief operating officer creates an AI readiness checklist to ensure executive leadership has connected data, agreed upon definitions, and decided permissions, enabling the AI system to...
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Integrating AI systems with research and development data helps identify potential failures by analyzing test results and failure analyses, enabling researchers to optimize workflows and...
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Synthetic data helps a category manager compare two suppliers by generating realistic sales scenarios, allowing them to predict outcomes and make informed decisions without relying on...
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AI cost optimisation in e-commerce and retail helps companies reduce costs by identifying areas of inefficiency and implementing strategies like caching, batching, and model routing to...
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Agentic AI workflows for human resources streamline employee onboarding by automating tasks and integrating with HR systems, freeing up staff to focus on strategic tasks and improving...
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Enterprise AI adoption in e-commerce and retail improves decision-making by analysing sales data, customer feedback, and inventory management, enabling category managers to optimise product...
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AsscherAi helps finance teams in healthcare providers answer questions about budget variance, outstanding commitments, and receivables by providing real-time access to data from systems...
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Implementing AI in human resources requires a thorough readiness checklist, including connecting relevant data sources, agreeing on definitions and terminology, and deciding on permissions...
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AI systems integration for quality enables a category manager to compare supplier performance by analysing defects per unit and first pass yield, then identify areas for improvement and...
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An AI SLA defines the expected performance of the AsscherAi platform, including response times and accuracy, providing a clear understanding of what the system is capable of, and what the...
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Chemical companies can optimise costs by analysing yield drift and feedstock variability, then implementing changes to mitigate their impact, such as caching and batching, to reduce...
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Agentic AI workflows for finance automate multi-step actions, enabling systems to manage cash flow, optimize budget allocations, and identify areas of inefficiency, allowing financial...
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Enterprise AI adoption in chemicals optimises yield by analysing yield drift, feedstock variability, and plant-to-plant recipe differences, enabling production managers to make informed...
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AI for finance in FMCG streamlines decision-making by providing real-time answers to financial questions, enabling the category manager to negotiate with suppliers and the shift supervisor...
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Finance teams can use AI to answer questions about cash flow and budget variance by following a readiness checklist, ensuring connected data, agreed-upon definitions, and decided...
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AsscherAi integration with production systems helps a production planner identify discrepancies between output reports and production schedules by providing real-time data and enabling her...
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A purchasing manager uses AsscherAi to query the purchase order table, their single source of truth for supplier information, to decide which supplier to use for a new contract, ensuring...
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