Manual tasks are inherently slower, erroneous, and time-consuming, leading to bottlenecks and delayed deliveries. Employees engaged in repetitive manual tasks are unavailable for higher-value activities that contribute directly to revenue generation.
A study by Formstack and Mantis Research reveals that manual and paper-based workflows result in up to $1.3 million in revenue loss per year. While businesses have to deal with reduced revenue and high operational costs, employees experience high dissatisfaction and decreased motivation when engaged with manual workflow continuously.
Undoubtedly, manual workflows put businesses between the devil and the deep blue sea situation whereas AI automation is the life jacket. By automating crucial yet low-skill tasks, reducing operational errors, and streamlining everything, AI development enables businesses to stay ahead of the curve at an optimized operational cost.
In this blog, we’re going to talk about the significance, use cases, and benefits of AI in workflow automation and bring it into action.
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AI workflow automation is the process of using Artificial Intelligence (AI) to streamline and improve existing business processes that are often manual and repetitive. By doing so, AI frees up the human resources for complex and strategic tasks.
AI workflow automation uses algorithms, machine learning, deep learning, data analysis, and many other technologies to first orchestrate and then automate time-consuming processes. Powered by all these technologies, AI automation tools replicate human intelligence and decision-making abilities to perform a given task with utmost perfection and accuracy.
Considering AI workflow automation similar to traditional automation is a mistake as:
One classic example of AI workflow automation is data entry. Every business needs data to make crucial decisions. However, the traditional data entry process is a bottleneck for many businesses. Collecting, sorting, and analyzing data through humans is a very tedious and highly erroneous task.
But, businesses can have AI agents to handle the entire process of data entry. With the help of machine learning, the data entry AI agents can ingest vast amounts of data, automatically classify it, and even generate reports, freeing up human analysts for more strategic tasks.
The NLP capabilities within AI agents enable them to understand and process data from various sources, including text documents and emails. These agents can also do data segmentation, disburse data across the team, and even create data-driven reports or presentations; all without any human help.
AI eliminates many bottlenecks from a key workflow that have plagued many businesses. Below, we have listed the top benefits of using artificial intelligence in workflow automation.
Imagine tasks like data entry, form processing, scheduling appointments, or sending routine emails that are crucial but consume a great deal of time and effort of key teammates. You can deploy AI automation in these workflows and can save up to 10-50% of operational work hours.
When repetitive tasks are automated, you can handle large amounts of data and n-number of workflows quickly and accurately.
Would you like to see your high-paid manager answering business emails? Of course not! This is a sheer waste of talent and investment made in hiring that manager. AI workflow automation keeps repetitive and low-skill tasks off the plate and enables you to assign your valuable human resource tasks such as developing new product ideas or building stronger customer relationships.
Manual workflow handling is susceptible to errors. Let’s tell you that humans make between 3-6 errors per hour and on average 50 errors per day (or per work shift). Imagine the amount of errors taking place in an enterprise with hundreds of humans handling key workflow. These errors can have cascading effects on business outcomes.
AI workflow automation tools tend to handle large datasets with high -precision. They use pre-defined rules, machine learning, and AI analysis to learn from past mistakes and improve workflow handling over time.
This one is no no-brainer. When workflows are accurate and swift, businesses will have clean data at their disposal which they can use to make informed decisions. This can lead to improved campaign performance, better financial forecasting, and a reduction in rework caused by errors.
AI workflow automation streamlines the key workflows and leads to quick product ideation & innovation. For instance, if you’re an app developer then you can automate code generation using AI and shift your focus on designing and testing the UX.
Instant scalability with manual workflow is impractical as human resources need time for training and delivery. However, AI resources can be scaled instantly. Experiencing a high number of calls? Tweak the codes of your chatbots and transfer the calls to other systems.
Anticipating more loan applications on a specific day? Simply add more servers or processing power and your AI agents will be able to process all these extra applications with full accuracy.
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AI workflow automation guarantees that only quality and accurate data enters into the system, as long as AI agent development is perfect. This accuracy reduces the risk of non-compliance fines and penalties for industries like healthcare, banking, and insurance where businesses have a moral duty to protect user data.
Through AI in workflow automation, businesses can save a huge deal of operational costs as they will have less reliance on human resources. They can easily replace certain profiles such as customer care support, technical support, and front-desk staff with smart and intelligent agents at must subsidized cost.
There are several types of AI workflow automation, each designed to address different aspects of business processes.
This type of AI workflow automation combines traditional RPA with AI capabilities resulting in the automation of repetitive tasks for complex scenarios.
Example- UiPath's automation for invoice processing at Coca-Cola.
AI automation in document processing can extract, handle, and analyze structured and unstructured data.
Example- JPMorgan Chase's COIN (Contract Intelligence) program.
This automates interactions between machines and humans using natural language processing and makes it more interactive.
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Example- Bank of America's virtual assistant, Erica.
AI uses machine learning to learn from historical data and make future predictions. This type of AI automation automates the decision-making workflows based on predictive insights.
Example- Amazon's anticipatory shipping.
This involves using machine learning and natural language processing to mimic human cognitive processes for complex decision-making.
Example- IBM Watson for Oncology.
Through the help of sensors and cameras, this type of AI automation uses AI to interpret and act on visual information.
Example- Walmart's shelf-scanning robots.
Businesses can create AI-driven systems or AI agents to operate independently without any human intervention in a given complex environment.
Example- Amazon’s warehouse robots.
This involves automation of human-readable content for repost generation and data summarization.
Example- Associated Press using Automated Insights.
AI workflow automation is not limited to data entry and chatbots. With its effective deployment, various leading industries such as healthcare, retail, supply chain, etc. can optimize a wide range of tasks.
Healthcare is one industry where speed, accuracy, and scalability are the core of every workflow. AI for healthcare can promote all these in different types of workflows.
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Retail is a high-traffic and customer-focused industry and has great scope for AI workflow automation implementation.
The finance industry often struggles with inaccuracy with manual workflows. Manual entry errors in finance range from 18-40% and give birth to endless problems such as duplicate payments, poor visibility into budgets, and hindered cash flow.
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Manual workflow can clog the human resource department by making repetitive data entry errors, consuming an era for resume sorting, and causing frustration in the staff because of extra load.
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Manufacturers no longer have to deal with manufacturing defects, delays, excessive resource consumption, and other bottlenecks that often cost them a fortune.
The supply chain & logistics industry can easily deploy AI to automate workflows such as route optimization, task scheduling, demand predictions, and quality control.
Also Read: What are the roles of AI Agents in Supply Chain & Logistics?
While deploying AI for automating crucial workflow brings a lot of benefits to the table, its implementation is not easy. Below are some evident challenges that one is bound to face during AI workflow automation.
Addressing these challenges demands a holistic approach involving technological solutions, organizational change management, and careful strategic planning. This can be easily fixed with the help of a reputable AI development company.
At Ampcome, businesses find every quintessential AI automation development resource at their disposal. Our team of AI experts provides 100% customized AI workflow automation solutions that can address the diverse needs of various industries.
From AI chatbots that can interact like humans to AI marketing agents that can create customized campaigns and make relevant product recommendations, Ampcome can help businesses use AI to automate routine tasks, optimize resources, make data-driven decisions, and reduce errors while freeing human resources for more strategic tasks.
We equip AI agents with modern machine learning, advanced analysis, and highly accurate natural language processing so that your business can experience improved accuracy in tasks and decision-making, increased speed of operations, and enhanced overall efficiency.
Our AI workflow automation solutions are more than solutions. They are your chance to do huge cost savings through automation and handle larger volumes of data and tasks for complex situations.
Don’t miss out on your chance to experience the power of AI workflow automation. Contact Ampcome today for a free consultation.
At Ampcome, we engineer smart solutions that redefine industries, shaping a future where innovations and possibilities have no bounds.