Muhammed Abdulla NC

CEO

Chief executive at Harns Technologies, the company behind AsscherAi. Writes on the business side of AI: what it costs, what it returns, and what it takes for an organisation to adopt it.

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Articles by Muhammed Abdulla NC

ROI and measurement in logisticsLogistics managers use AsscherAi to measure shipment velocity and on-time delivery rates, focusing on targeted metrics to evaluate intervention...
ROI and measurement in healthcare providersMeasuring ROI in healthcare providers is challenging due to invisible counterfactuals and data access constraints, but AsscherAi can help by...
ROI and measurement in FMCGMeasuring ROI in FMCG requires a nuanced approach, considering factors like promotional distortion and distributor visibility, to accurately assess...
ROI and measurement in energy and utilitiesEnergy and utilities companies can use AsscherAi to investigate the signals that precede an unplanned outage, allowing them to ask what deviated this...
ROI and measurement in e-commerce and retailAsscherAi helps a category manager measure ROI by analysing sales data and customer behaviour, enabling informed decisions on promotions and product...
ROI and measurement in chemicalsChemicals plants use AsscherAi to measure ROI by analysing production line data, identifying yield drift and feedstock variability, and comparing...
ROI and measurement in automotiveAutomotive companies can measure ROI by tracking leading indicators such as reduction in downtime or cost savings from supplier changes, allowing...
Common mistakes when applying AI to supply chainAI systems can perpetuate existing flaws in supply chain management if the underlying process is not well-mapped, leading to automated inefficiencies...
Common mistakes when applying AI to customer serviceApplying AI to customer service data helps managers make informed decisions by querying data in real time, but mistakes like automating unmapped...
Common mistakes when applying AI to salesA sales director can optimise their team's efforts by applying AI to answer questions about their own data, such as what products are most likely to...
Common mistakes when applying AI to research and developmentApplying AI to research and development requires careful process mapping, otherwise automation efforts will fail to deliver expected results, as seen...
Common mistakes when applying AI to qualityImplementing AI in quality control requires careful planning, as automating a poorly understood process can lead to errors, and treating inspection...
Common mistakes when applying AI to productionImplementing AI in production requires careful planning to avoid common mistakes, such as automating unmapped processes or treating AI output as...
Common mistakes when applying AI to procurementProcurement teams overlook data inconsistencies when applying AI, leading to flawed insights and poor decision-making, whereas a thorough data...
Common mistakes when applying AI to operationsImplementing AI in operations requires careful consideration of process mapping, data quality, and user access to avoid common mistakes and ensure...
Common mistakes when applying AI to maintenanceApplying AI to maintenance requires careful consideration of existing processes and systems, as seen in the example of a shift supervisor using AI to...
Common mistakes when applying AI to executive leadershipApplying AI to executive leadership requires careful planning, starting with mapping out processes and identifying areas where AI can add value, to...
Common mistakes when applying AI to human resourcesImplementing AI in human resources requires careful planning, otherwise it can lead to automating inefficiencies, inaccurate information, and poor...
Common mistakes when applying AI to financeImplementing AI in finance requires careful consideration of existing processes and systems to avoid common mistakes, such as automating unmapped...
How to measure AI in supply chainMeasuring AI impact on supply chain efficiency requires tracking lead time variance and fill rate, as a category manager would, to evaluate the...
How to measure AI in customer serviceEffective AI metrics in customer service involve tracking first contact resolution and time to answer, enabling teams to assess the technology's...
How to measure AI in salesMeasuring AI in sales requires isolating its impact on metrics like forecast accuracy and win rate, by establishing a baseline before rollout and...
How to measure AI in research and developmentMeasuring AI in research and development requires tracking leading measures like failures found before validation and effort against stage, allowing...
How to measure AI in qualityEvaluating AI in quality control requires tracking leading measures such as first pass yield and defects per unit, which provide early indications of...
How to measure AI in productionGenerative AI optimises production by providing real-time insights into equipment performance, enabling proactive maintenance and reducing unplanned...
How to measure AI in procurementMeasuring AI in procurement involves tracking leading indicators like spend under management and price variance to contract, which help evaluate the...
How to measure AI in operationsAsscherAi helps operations teams measure AI effectiveness by tracking leading metrics such as on-time delivery and exception rate, allowing them to...
How to measure AI in maintenanceMeasuring AI in maintenance involves tracking leading metrics such as planned versus reactive ratio and mean time between failures to identify areas...
How to measure AI in executive leadershipMeasuring AI in executive leadership involves tracking leading measures like decision latency and data-driven insights, as seen when a category...
How to measure AI in human resourcesEvaluating AI in human resources requires tracking leading measures such as repeat question volume and time to answer, which provide insights into...
How to measure AI in financeMeasuring AI in finance requires a combination of leading and lagging measures, such as variance to budget and commitment coverage, to accurately...
A readiness checklist for supply chain AIImplementing AI in the supply chain requires a thorough readiness checklist to ensure connected data, clear definitions, and proper permissions, as a...
Cost optimisation in textiles and apparelAI cost optimisation in textiles and apparel streamlines production by identifying areas where costs can be reduced, such as supplier fragmentation...
Adoption and change in textiles and apparelEnterprise AI adoption in textiles and apparel improves range planning by analysing sales trends and supplier performance, enabling merchandising...
A readiness checklist for customer service AIImplementing AI in customer service requires a readiness checklist to ensure connected data, agreed-upon definitions, and decided permissions...
Cost optimisation in printing and packagingAI cost optimisation in printing and packaging helps a production manager identify areas to reduce total cost, including setup and makeready losses...
Adoption and change in printing and packagingEnterprise AI adoption in printing and packaging streamlines production planning by analysing job schedules, setup costs, and material usage...
A readiness checklist for sales AIImplementing a sales AI checklist ensures connected data, agreed definitions, and decided permissions, enabling the system to provide reliable...
Cost optimisation in pharmaceuticalsAI cost optimisation in pharmaceuticals streamlines production by identifying inefficiencies in validated processes and strict documentation rules...
Adoption and change in pharmaceuticalsEnterprise AI adoption in pharmaceuticals requires careful planning to overcome regulatory hurdles and build trust among employees, by integrating...
A readiness checklist for research and development AIImplementing AI in research and development requires careful preparation, including connecting relevant data sources, agreeing on definitions in...
Cost optimisation in metals and miningAI cost optimisation in metals and mining streamlines production by analysing grade variability, maintenance backlog, and energy intensity, enabling...
Adoption and change in metals and miningEnterprise AI adoption in metals and mining improves production planning by analyzing grade variability, maintenance backlog, and energy intensity...
A readiness checklist for quality AIA quality manager uses AsscherAi to identify trends in production data, by asking what factors contribute to high defect rates, and how they compare...
Cost optimisation in manufacturingAI cost optimisation in manufacturing streamlines production by identifying inefficiencies in workflows, allowing a production manager to compare...
Adoption and change in manufacturingEnterprise AI streamlines manufacturing by providing real-time answers to production questions, such as comparing supplier performance or identifying...
A readiness checklist for production AIImplementing a production AI checklist helps organisations avoid common pitfalls by ensuring connected data sources, agreed definitions, and clear...
Cost optimisation in logisticsLogistics teams can reduce costs by analysing data with AsscherAi to identify areas of inefficiency, such as carrier performance variance and...
Adoption and change in logisticsImplementing AsscherAi in logistics helps teams identify bottlenecks by analysing carrier performance and exception handling, enabling them to ask...
A readiness checklist for procurement AIProcurement teams can use AI to identify patterns in supplier performance by connecting relevant data sources, agreeing definitions in writing, and...
Cost optimisation in healthcare providersAI cost optimisation in healthcare providers reduces spend by identifying areas where costs can be reduced without compromising patient care, such as...
Adoption and change in healthcare providersEnterprise AI adoption in healthcare providers increases efficiency by streamlining clinical workflows and reducing manual errors, for example, a...
A readiness checklist for operations AIOperations teams can use AI to investigate signals preceding unplanned downtime by asking what deviated this shift, on which line, and how it...
Cost optimisation in FMCGAI cost optimisation in FMCG reduces waste by analysing historical sales data and providing accurate forecasts, enabling category managers to...
Adoption and change in FMCGEnterprise AI adoption in FMCG improves supply chain efficiency by analysing sales data and inventory levels, enabling category managers to optimize...
A readiness checklist for maintenance AIImplementing AI in maintenance requires a readiness checklist to ensure connected data, agreed-upon definitions, and decided permissions, allowing a...
Cost optimisation in energy and utilitiesAsscherAi helps a category manager compare supplier contracts by answering questions about contract terms and conditions, enabling them to identify...
Adoption and change in energy and utilitiesEnterprise AI streamlines maintenance planning by analysing asset performance and crew availability, enabling operations managers to make informed...
A readiness checklist for executive leadership AIA chief operating officer creates an AI readiness checklist to ensure executive leadership has connected data, agreed upon definitions, and decided...
Cost optimisation in e-commerce and retailAI cost optimisation in e-commerce and retail helps companies reduce costs by identifying areas of inefficiency and implementing strategies like...
Adoption and change in e-commerce and retailEnterprise AI adoption in e-commerce and retail improves decision-making by analysing sales data, customer feedback, and inventory management...
A readiness checklist for human resources AIImplementing AI in human resources requires a thorough readiness checklist, including connecting relevant data sources, agreeing on definitions and...
Cost optimisation in chemicalsChemical companies can optimise costs by analysing yield drift and feedstock variability, then implementing changes to mitigate their impact, such as...
Adoption and change in chemicalsEnterprise AI adoption in chemicals optimises yield by analysing yield drift, feedstock variability, and plant-to-plant recipe differences, enabling...
A readiness checklist for finance AIFinance teams can use AI to answer questions about cash flow and budget variance by following a readiness checklist, ensuring connected data...
Cost optimisation in automotiveAutomotive manufacturers can reduce costs by using AI to analyse production and supply chain data, identifying areas for improvement and optimising...
Adoption and change in automotiveEnterprise AI streamlines automotive production by identifying bottlenecks and optimizing supply chains, allowing a logistics manager to ask which...
Can AI reduce variance explanations that arrive after the period?AsscherAi reduces variance explanations that arrive after the period by analysing general ledgers and budgets in real time, enabling finance teams to...
What AI actually costs in supply chainSupply chain managers can optimise AI costs by focusing on integration and data work, rather than the technology itself, and attributing spend to the...
How long before AI shows results in supply chain?Implementing AI in supply chain operations can take several weeks to show tangible results, as it requires setting up infrastructure, connecting data...
Can AI reduce unplanned downtime?Generative AI reduces unplanned downtime by making the signals that precede a stoppage cheap to investigate, a production team can ask what deviated...
What AI actually costs in customer serviceImplementing AI in customer service requires careful consideration of integration and data work costs, which can be substantial, and evaluating the...
How long before AI shows results in customer service?Introducing AI to customer service reduces enquiry response times by analysing common questions and automating frequent responses, a customer service...
Can AI reduce the same policy questions every week?AI reduces repetitive policy questions by providing instant access to organisational policies and procedures, allowing employees to quickly find the...
What AI actually costs in salesEvaluating AI cost in sales requires considering integration and data work, as a sales team using AsscherAi to query customer data may need to spend...
How long before AI shows results in sales?A sales director can expect to see tangible results from AsscherAi within weeks, by identifying specific questions the system can answer, such as...
Can AI reduce the same issue answered from scratch each time?AsscherAi reduces the same issue being answered from scratch each time by learning from an organisation's existing data, providing quick access to...
What AI actually costs in research and developmentA research and development manager can reduce AI costs by identifying areas where data preparation and integration are consuming the largest portion...
How long before AI shows results in research and development?Implementing AI in research and development can accelerate project timelines by identifying high-impact questions and providing actionable insights...
Can AI reduce spend fragmented across suppliers?AI spend analysis helps procurement teams identify fragmented spend by examining purchase orders and supplier contracts, enabling them to renegotiate...
What AI actually costs in qualityAsscherAi's true cost lies in data preparation and integration, where a logistics manager must work with the data team to ensure accurate and...
How long before AI shows results in quality?Implementing AI to improve quality involves setting up the system, identifying key questions, and tracking leading measures, such as defect rates or...
Can AI reduce reactive work crowding out planned work?AI reduces reactive work crowding out planned work by analyzing maintenance data to identify patterns and trends, enabling maintenance managers to...
What AI actually costs in productionUnderstanding AI cost production helps organizations allocate resources effectively by identifying areas where integration and data work dominate the...
How long before AI shows results in production?Implementing AsscherAi in production requires a structured approach, starting with setting up the system, configuring the data sources, and training...
Can AI reduce lead time variance hidden behind a stable average?AI reduces lead time variance by analyzing purchase and delivery history to identify patterns, enabling decision-makers to take corrective action...
What AI actually costs in procurementAI cost in procurement is often misunderstood due to hidden costs in integration and data work, which can lead to budget overruns and reduced ROI, as...
How long before AI shows results in procurement?Implementing AI in procurement takes time, as the initial fortnight is spent on groundwork, getting data in order, and establishing a common language...
Can AI reduce failures rediscovered across programmes?AI reduces failures rediscovered across programmes by analysing historical data and identifying patterns, enabling researchers to quickly identify...
What AI actually costs in operationsImplementing AI in operations often incurs significant costs in data preparation and integration, which can be mitigated by carefully planning and...
How long before AI shows results in operations?Implementing AI in operations reduces downtime by identifying causes of equipment failure, allowing teams to ask specific questions and receive...
Can AI reduce defects traced late to a batch or supplier?AI reduces defects traced late to a batch or supplier by analyzing inspection records and non-conformance reports to identify patterns and anomalies...
What AI actually costs in maintenanceAsscherAi's maintenance costs are often underestimated due to overlooked integration and data work expenses, which can be mitigated by attributing...
How long before AI shows results in maintenance?Implementing AI in maintenance involves connecting systems and data sources, then using the AI platform to answer questions about equipment...
Can AI reduce cross-functional questions nobody can answer in the room?AI reduces cross-functional questions by providing rapid access to consolidated financials and operational KPIs, enabling teams to investigate issues...
What AI actually costs in executive leadershipExecutive leadership teams can optimise AI cost by understanding that integration and data work are the dominant line items, and by attributing spend...
How long before AI shows results in executive leadership?Executive leadership can expect to see results from AI within weeks, as a production manager uses AsscherAi to analyse maintenance logs, identifying...
How AI is transforming printing and packagingAI in printing and packaging streamlines workflows by analysing data from the print MIS, prepress workflow, and estimating systems, enabling staff to...
How AI is transforming textiles and apparelTextiles and apparel businesses use AI to analyze sales data and optimize inventory management by asking direct questions of their ERP and PLM...
How AI is transforming metals and miningMetals and mining businesses can use AI to analyze data from the process historian and identify patterns that indicate changes in grade variability...
How AI is transforming chemicalsChemicals companies use AI to analyze data from systems like LIMS and ERP, identifying yield drift and feedstock variability, and enabling corrective...
How AI is transforming the automotive industryAI in the automotive industry streamlines supplier escalations by enabling direct queries to data in MES, PLM, and supplier portals, allowing...
How AI is transforming FMCGAsscherAi helps FMCG businesses answer questions about their own data, such as the impact of price promotions on sales, by providing real-time...
How AI is transforming pharmaceuticalsPharmaceutical batch record review is streamlined by AI, which provides direct access to data from LIMS, quality management systems, and ERP...
How AI is transforming energy and utilitiesAI in energy and utilities streamlines outage planning by enabling direct queries to SCADA and asset management systems, allowing shift supervisors...
How AI is transforming e-commerce and retailAsscherAi helps e-commerce and retail businesses analyze sales data and customer feedback to inform decisions about product assortment and pricing...
How AI is transforming healthcareHealthcare administrators use AsscherAi to query their electronic health record system, reducing the time spent on manual data analysis and improving...
How AI is transforming logisticsLogistics managers use AI to analyse transport management system data and reduce dwell and detention times by identifying shipments being detained at...
How AI is transforming manufacturingAsscherAi helps manufacturers reduce changeover losses by analyzing data from the ERP, MES, plant historian, and maintenance system, allowing a shift...
Can AI reduce anomalies only visible in combination?AI identifies anomalies in supply chains by analysing data from logistics, supplier performance, and software systems, enabling organisations to...
What AI actually costs in human resourcesAllocating budget to AI in human resources requires considering integration and data work costs, which can be substantial, and evaluating the run...
How long before AI shows results in human resources?Implementing AsscherAi in human resources can streamline recruitment by identifying bottlenecks and trends, allowing a hiring manager to ask what...
Can AI reduce a forecast nobody can interrogate?AI reduces a forecast nobody can interrogate by analysing historical sales data and order book information to generate a forecast based on actual...
What AI actually costs in financeAI cost in finance is often underestimated due to overlooked integration and data work expenses, a finance manager must consider these costs when...
How long before AI shows results in finance?AI timelines in finance are often prolonged due to data preparation, which involves standardising formats, correcting errors, and filling gaps, but...
ROI and measurement for supply chainAsscherAi helps measure ROI for supply chain interventions by tracking leading measures, such as equipment maintenance and supplier performance, to...
Cost optimisation for supply chainAI cost optimisation for supply chain reduces total costs by analysing workflows and identifying inefficiencies, allowing a logistics manager to ask...
Adoption and change for supply chainEnterprise AI adoption for supply chain management involves integrating new technology into existing workflows, such as a shift supervisor using...
ROI and measurement for customer serviceMeasuring ROI for AI-powered customer service involves tracking changes in first contact resolution rates and time to answer, using data from systems...
Cost optimisation for customer serviceAI cost optimisation for customer service reduces spend by analysing workflows and identifying areas for improvement, such as caching, batching, and...
Adoption and change for customer serviceEnterprise AI adoption for customer service streamlines workflows by integrating with existing software, allowing representatives to access...
ROI and measurement for salesMeasuring AI ROI in sales requires tracking leading measures like meetings held and proposals submitted, as a sales manager checks the team's...
Cost optimisation for salesAI cost optimisation for sales reduces waste by identifying expensive computations in workflows, then applying caching, batching, or model routing to...
Adoption and change for salesEnterprise AI adoption for sales enhances forecasting by analysing historical sales data, order books, and inventory positions, enabling sales teams...
ROI and measurement for research and developmentResearch teams use AsscherAi to measure ROI by tracking leading indicators such as experiment velocity and prototype iterations, enabling data-driven...
Cost optimisation for research and developmentAI cost optimisation for research and development streamlines workflows by identifying areas where costs can be reduced without compromising quality...
Adoption and change for research and developmentEnterprise AI adoption for research and development streamlines workflows by attaching new capabilities to existing routines, allowing employees to...
ROI and measurement for qualityA quality manager uses AsscherAi to investigate defect rates by asking what changed this month, on which production line, and how it compares with...
Cost optimisation for qualityAI cost optimisation for quality reduces total costs by analysing workflows and identifying areas for improvement, allowing organisations to make...
Adoption and change for qualityEnterprise AI adoption for quality drives change by integrating into existing routines, such as daily meetings where quality metrics are reviewed...
ROI and measurement for productionPredictive maintenance systems integrated with production data enable managers to identify potential machine failures, reducing unplanned downtime...
Cost optimisation for productionAI cost optimisation for production reduces waste by analysing entire workflows, considering unit cost versus total cost, and applying caching...
Adoption and change for productionEnterprise AI adoption for production informs daily decisions by providing real-time answers to complex questions about output and quality, enabling...
ROI and measurement for procurementProcurement teams use AsscherAi to measure ROI by tracking changes in spend patterns and supplier performance, allowing them to identify areas for...
Cost optimisation for procurementAI cost optimisation for procurement streamlines processes by identifying inefficiencies in supplier contracts and spend patterns, allowing...
Adoption and change for procurementProcurement teams use AsscherAi to identify areas where costs can be reduced or optimised by analysing spend patterns and contract terms, then ask...
ROI and measurement for operationsOperations managers use AsscherAi to measure ROI by analyzing leading measures such as task completion rates and exception rates, enabling timely...
Cost optimisation for operationsAI cost optimisation for operations reduces spend by analysing workflows and identifying areas for improvement, allowing the operations director to...
Adoption and change for operationsOperations teams use AsscherAi to identify bottlenecks in their workflows by asking questions about project status and resource allocation, then...
ROI and measurement for maintenanceA maintenance manager uses AsscherAi to investigate the impact of a new predictive maintenance system, tracking leading measures such as planned...
Cost optimisation for maintenanceAI cost optimisation for maintenance reduces unplanned downtime by analysing workflows and identifying areas for cost reduction, allowing maintenance...
Adoption and change for maintenanceEnterprise AI adoption for maintenance streamlines workflows by identifying trends in work orders and asset history, enabling teams to prioritise...
ROI and measurement for executive leadershipExecutive leadership measures AI ROI by tracking leading indicators such as employee usage and insight frequency, rather than relying on lagging...
Cost optimisation for executive leadershipAI cost optimisation for executive leadership reduces spend by analysing total workflow costs, including data preparation and model training...
Adoption and change for executive leadershipExecutive leadership teams can use AsscherAi to inform decisions by integrating it into existing routines, such as weekly meetings, to provide...
ROI and measurement for human resourcesHuman resources interventions can be measured by tracking leading indicators such as employee engagement and training participation, which can be...
Cost optimisation for human resourcesAI cost optimisation for human resources streamlines budget allocation by analysing training programs, recruitment, and employee benefits, enabling a...
Adoption and change for human resourcesEnterprise AI adoption for human resources streamlines workflows by automating tasks such as tracking candidate applications and providing...
ROI and measurement for financeMeasuring ROI for finance interventions requires tracking leading measures, such as invoices processed on time, to identify potential issues before...
Cost optimisation for financeAI cost optimisation for finance identifies areas to reduce costs without compromising effectiveness, by analysing workflows and finance data, and...
Adoption and change for financeEnterprise AI adoption for finance teams streamlines budgeting by identifying areas for improvement, enabling them to make data-driven decisions and...
How to start with roi and measurementMeasuring AI ROI requires choosing a first case with a known answer, such as a category manager comparing AI recommendations to manual supplier...
How to start with cost optimisationGetting started with AI cost optimisation involves choosing a simple problem with a clear answer, like a shift supervisor checking the maintenance...
How to start with adoption and changeGetting started with enterprise AI adoption requires attaching new capability to existing routines, such as using AsscherAi to analyse maintenance...
ROI and measurement in the enterprise: a practical guideEffective AI ROI measurement involves tracking leading indicators like user adoption and data quality, rather than relying solely on lagging...
Cost optimisation in the enterprise: a practical guideAI cost optimisation reduces spend by analysing entire workflows, not just unit costs, and attributing spend to specific business processes, allowing...
Adoption and change in the enterprise: a practical guideEnterprise AI adoption fails when systems are not integrated into existing workflows, making it easy to forget or ignore, but by attaching new...
The 360 degree view: generative AI for executive decisionsGenerative AI supports executive decisions by assembling a consolidated view across functions on demand. Rather than commissioning a pack and waiting...
Spend analysis and budget forecasting with generative AIGenerative AI helps finance teams by shortening the path from a variance to its explanation. Instead of a multi-day drill through ledgers and...
Demand forecasting with generative AI for sales teamsGenerative AI improves sales forecasting less by producing a better number than by making the number inspectable. A sales team can ask which products...

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