How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
AI cost optimisation for finance identifies areas to reduce costs without compromising effectiveness, by analysing workflows and finance data, and applying techniques like caching...
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AsscherAi's AI agent reduces query time by utilising the purchase order table and supplier database to provide relevant answers, allowing staff to focus on complex tasks, such as a category...
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Enterprise AI adoption for finance teams streamlines budgeting by identifying areas for improvement, enabling them to make data-driven decisions and drive business outcomes, a category...
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AI productivity tools in finance help the category manager identify areas where costs can be optimised by analysing purchase orders and general ledger data, enabling more effective...
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AI process automation for finance streamlines decision-making by integrating data from various systems, such as the general ledger and budget, allowing category managers to make informed...
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Getting started with AsscherAi security involves choosing a first case with a known answer, such as a procurement manager verifying supplier on-time delivery records, to ensure the system...
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Measuring AI ROI requires choosing a first case with a known answer, such as a category manager comparing AI recommendations to manual supplier selection, using data from their enterprise...
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Implementing AsscherAi requires choosing between an agent-based system and a fixed workflow, each committing you to different levels of investment in natural language processing, machine...
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Getting started with enterprise AI governance involves choosing a first case with a known answer, such as a shift supervisor checking the maintenance log, to verify results and build trust...
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Access control for AI enforces permissions at the point of retrieval, controlling what data the AI can access, as seen when a category manager uses AsscherAi to compare supplier data, and...
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Getting started with AI cost optimisation involves choosing a simple problem with a clear answer, like a shift supervisor checking the maintenance log to identify frequent repairs, then...
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Agentic AI streamlines supply chain management by planning and executing multi-step actions, such as querying the purchase order table to determine shipment due dates, and sending requests...
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Getting started with enterprise AI adoption requires attaching new capability to existing routines, such as using AsscherAi to analyse maintenance logs, allowing teams to verify AI-powered...
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Implementing AsscherAi for productivity involves choosing a first case with a known answer, such as the maintenance log, to test and refine the query process, then expanding to more complex...
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Getting started with AI process automation involves choosing a simple process with a known answer, mapping the current process, and identifying handoffs that create delays, a category...
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Enterprise AI security depends on where data is processed and stored, a purchasing manager must clarify this when procuring AsscherAi, considering factors like cloud provider compliance...
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Effective AI ROI measurement involves tracking leading indicators like user adoption and data quality, rather than relying solely on lagging indicators such as revenue growth, to accurately...
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Integrating AI systems with existing systems of record requires careful consideration of read and write paths, reconciling definitions, and handling latency and downtime, as a purchasing...
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Enterprise AI governance ensures the category manager and shift supervisor access relevant data, while enforcing permissions and auditability, to maintain trust and compliance, by...
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AsscherAi requires a deep understanding of the enterprise's data foundations, including field-level meaning and column names, to provide accurate answers, as a purchasing manager asking...
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AI cost optimisation reduces spend by analysing entire workflows, not just unit costs, and attributing spend to specific business processes, allowing organisations to make informed...
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Agentic AI workflows automate complex processes by integrating multiple systems, such as ERP and CRM, to complete tasks, like generating work orders and assigning technicians, making them...
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Enterprise AI adoption fails when systems are not integrated into existing workflows, making it easy to forget or ignore, but by attaching new capability to routines and providing...
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Generative AI supports executive decisions by assembling a consolidated view across functions on demand. Rather than commissioning a pack and waiting a week, a leader can ask a...
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