Manufacturing Workflow Automation: Beyond the Production Line
June 12, 2026
12 minutes

Written by
Channa Basava Rajan

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Channa Basava Rajan
Channa Basava Rajan shares practical guidance on AI-powered workflows and product delivery.
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June 12, 2026
12 minutes

Written by
Channa Basava Rajan


Channa Basava Rajan
Channa Basava Rajan shares practical guidance on AI-powered workflows and product delivery.
Get practical guidance from our latest no-code and AI playbooks.
While manufacturing automation used to involve machine automation, it was simply machines replacing manual assembly and robots making the production process faster. That remains true. However, it fails to acknowledge the existence of another kind of inefficiency present in all departments.
Take an example of a medium-sized manufacturing company. A procurement process needs three levels of approval. The first level involves an approving officer who is out of the country. The second level gets email approval but fails to update the system. The third level gets no notification since the first two failed. A week later, the supplier inquires. A search for the initial request is conducted. The raw materials do not arrive on time, resulting in production delays.
No robot can solve that problem. Software can.
According to a survey by McKinsey & Company, 66% of organizations now automate one or more business functions compared to 57% the previous year. Some companies automate more than others. Their automation strategies include purchasing, compliance, quality documentation, hiring, vendors, and manufacturing reports.
1. Procurement and Purchase Orders
One bottleneck that is often experienced in manufacturing is the manual procurement process. Comparison of quotes is made via email. Approval takes time when the approving person is not available. Payments to suppliers are delayed since the invoices stay in the inbox without being processed.
Workflows can solve all these bottlenecks. Automated approval workflows will direct purchase orders to the appropriate people. They can automatically escalate purchases when needed. Each step in the process can be recorded together with the timestamp.
2. Documentation for Quality Control
A lot of documentation arises in the process of quality control. There are inspection reports, non-conformance reports (NCR), corrective action requests, and audit documents. Most of the time, the documentation process remains manual in the majority of production plants.
Automation can make the whole process faster. The system can automatically generate an NCR, notify the quality manager about the defect, and trigger a corrective action. No more email reminders required!
3. Compliance and Regulator Reporting
Manufacturers operating within certain industries like pharmaceuticals, food processing, chemicals, and automotive components dedicate quite some time to compliance documentation.
Many compliance tasks involve duplication and reiteration of the same processes and information being documented. Automation allows the generation of reports in a timely fashion while also capturing the required approvals and documenting complete audit trails.
4. Human Resource Management Process and Onboarding
It creates inefficiency for the worker in question to join the factory floor on Monday but get safety training, security clearances, and reporting requirements on Thursday.
Automation ensures the completion of tasks promptly. Automatic tasking and assignment allow monitoring of training, credentials, approvals, and other documentation.
5. Production Reporting and ERP Reporting
Shift supervisors manually enter production data, which is then entered again in the ERP system by a separate employee.
This creates duplicate workload and a higher possibility of mistakes. Automating reporting helps capture data in one go and transmit it to where it needs to be.
The advantages of workflow automation are backed up by industry research.
The total value of the global workflow automation market was estimated at USD 24.5 billion in 2024, rising to USD 78.6 billion by 2030 at a CAGR of 21.5%.
An average of just seven weeks is required for small and mid-size manufacturers to break even on their investments in workflow automation. The resulting increase in productivity, by 12% to 18%, results from workers spending less time coordinating activities and more time doing productive activities.
According to a survey of McKinsey & Co.'s 2025 Manufacturing Operations Report, manufacturing companies that embrace workflow automation boost their on-time deliveries by 18% to 34% over the course of a year. This can be achieved without purchasing any additional production tools.
Studies also indicate that the rate of errors 1 in repetitive tasks can fall by as much as 75% once automation is implemented.
Gartner says that the combination of automation technologies and better operational practices can bring down operating costs by up to 30%.
The Indian industrial automation market has been valued at USD 7.57 billion in 2024 and is forecasted to continue growing until 2030. The productivity of those manufacturers implementing automation technologies
Most manufacturers view these inefficiencies as a natural part of doing business. Approval delays, duplicate entries, procurement issues, and fragmented reporting become an accepted norm. The aggregate cost of these inefficiencies is significant.
According to Verified Market Research, the global workflow automation market is projected to hit USD 71 billion by 2031. Those companies embracing workflow automation now are not only optimizing their processes but building future competitive advantages as well.
In fact, for many manufacturers, the best automation solution lies not on the factory floor but in automating workflows connecting procurement, production planning, quality assurance, and customer orders. That is where most inefficiencies arise.
Enterprise software usually takes into account standardized business processes. Standardization is hardly present in manufacturing activities.
Procurement at a job shop is different from procurement at a contract manufacturer. An organization manufacturing pharmaceutical components will have different compliance rules compared to one manufacturing automotive components. Dhumi is developed to address such a problem.
Dhumi is an artificial intelligence-driven low-code platform enabling manufacturing, retail, and enterprises to create custom applications without coding.
The essence of Dhumi can be described as follows. Software should be flexible enough to fit your business processes. Your business shouldn’t be adjusted to inflexible software.
Plant managers are able to design NCR management apps, production sign-off tools, supplier onboarding applications, and numerous other solutions with the help of the Dhumi visual builder. Applications are delivered within weeks, rather than months.
Spreadsheets vs. Intelligent Applications
A lot of manufacturing companies still use spreadsheets intensively. These spreadsheets are hard to control, monitor, and maintain. They frequently lead to mistakes and problems.
Dhumi replaces spreadsheet tools with custom-made applications that collect data in real time, keep audit trails, and route necessary information to the necessary parties.
Integration with ERP & CRM Systems
Dhumi is capable of integrating with any existing ERP and CRM system. Businesses can use existing solutions and improve workflow efficiency.
Scalability With Growing Operations
If you are planning to expand your business operations with a growing team, new processes, new locations, or additional workflows, Dhumi will be able to grow alongside.
Dhumi collaborates with manufacturers, logistics providers, and enterprise businesses. The Dhumi platform helps companies address operational inefficiencies that occur after teams have grown too big for simple spreadsheets, but aren't yet ready for complex software solutions.
Industry 4.0 brought the notion of connected and smart manufacturing. All the talk revolved around IoT sensors, predictive maintenance, and smart manufacturing facilities.
It is becoming abundantly clear that the flow of processes between people, software, approvals, and data matters just as much. There are many manufacturers who can benefit from improving their processes significantly.
Production lines will become increasingly automated. The next generation of process automation will happen inside the back office. In contrast to heavy machinery purchases, workflow automation can be achieved even by smaller organizations without breaking the bank.
The question is no longer whether manufacturers need to automate beyond the production floor. The real question is which process needs to be optimized first.
Manufacturing
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