How AI-Enabled Productivity Can Accelerate Your Work Process

Author : Gonzalez Kilgore | Published On : 24 Nov 2025

AI-enabled solutions are accelerating business processes by automating repetitive tasks. This leads to more productivity and faster delivery of work products.

However, companies should carefully plan and execute cognitive pilot projects to ensure success. Otherwise, the results may be disappointing. It is also wise to use pilot projects to test new technology before scaling them up across the organization.
1. Automation of Data Entry and Extraction

Picture a day when business workflows move faster than ever and the process of gathering and analyzing information is simplified by intelligent virtual assistants that automate many tasks. The future is closer than you think, thanks to the proliferation of AI tools that can streamline projects and simplify work processes. From content writing to sentiment analysis, image/video processing, predictive analytics and even data entry automation, this technology is already making it easier for business professionals to optimize productivity.

The business benefits of AI are vast, and the impact varies by industry. For example, McKinsey predicts that cognitive technologies may replace about 16% of current job functions, while creating about 9% of new ones. However, there’s an important caveat: the pace of adoption largely depends on whether companies can find a way to leverage these technologies without sacrificing quality or relying solely on labor substitution to lower costs.

In the case of data entry and extraction, AI is a natural fit because it can process large datasets at a much quicker rate than human labor. This is why businesses are deploying AI tools to simplify work processes and enable greater productivity across the board. For instance, a company with a lot of raw data can use an AI solution like ThoughtSpot to identify patterns and trends that would be difficult or time-consuming to spot manually.

Another example of this is the pymetrics assessment platform, which uses an artificial intelligence engine to evaluate talent and identify candidates with potential for success in any role. This technology can help to reduce the time and resources spent on evaluating candidates, while also improving the overall candidate experience.

The value business leaders seek from AI differs depending on the organization’s maturity in this space, according to Deloitte’s latest “State of AI in the Enterprise” report. While AI “starters” rank lowering costs second on their list of benefits, seasoned users prioritize business process efficiency and product/service creation.
2. Automated Call Management

Automating workflow operations can help businesses reduce error-prone tasks that can slow down productivity. AI tools such as data entry software, speech recognition and image/video processing are increasingly used for business process automation and simplifying work processes. These technologies can help organizations streamline their operations and focus on strategic growth.

One way that AI can help accelerate your call management is through the use of an automated calling system. This software can automatically make a large number of calls for you, helping to speed up your call center and improve customer service. This is particularly useful for companies that have to contact a large number of customers at once, or who need to send out follow-up messages to ensure the quality of their service.

Another AI tool that can improve your call management is a unified communications platform. These platforms are designed to integrate with your CRM and enable you to manage multiple communication channels from a single dashboard. With this, you can route calls to the best agent or virtual system for each interaction based on a range of factors including caller history and their current status.

With this technology, you can also empower your customers to self-service their queries without waiting on hold by letting them choose a callback option instead. You can even route calls to agents who are most qualified to handle specific issues based on your company’s KPIs and the type of customer you serve. For AI Automation , if you notice that most callers ask about prices and pricing, you can create RTA cards with relevant information that will display to your agents when they receive a call with this query.
3. Real-Time Monitoring of Manufacturing Processes

AI tools can make business processes more efficient, saving valuable time. This is due to the fact that they can operate at a scale and pace that humans can’t match, allowing them to handle large amounts of work with minimal effort. Furthermore, this technology is able to analyze massive data sets and identify patterns that can help to optimize workflows. This translates into improved decision-making, task automation, and predictive analytics.

Another way that AI improves productivity is through the use of real-time monitoring of manufacturing processes. By integrating AI into these functions, companies can quickly spot issues that affect production and take immediate action to rectify them. This helps to prevent costly product recalls and production delays. Furthermore, it ensures that all products produced adhere to the required specifications. This is possible through the use of sophisticated production tracking systems that allow supervisors to monitor multiple points of operation in real-time.

Traditionally, production monitoring has relied on manual, human-based data collection. This often leads to a significant delay between when an issue occurs and when the supervisor is able to take action. However, by leveraging AI-enabled applications such as Tulip, manufacturers can automate the process of collecting and visualizing real-time data from all workers, machines, and devices across their operations. This enables supervisors to identify sources of inefficiency, product defects, and bottlenecks in production and take corrective actions in real-time.

The impact of AI on businesses is significant and transforming the way we work. According to Gartner, in 2021 alone, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. In a Forbes Insights study commissioned by Microsoft, 80 percent of knowledge workers acknowledged that their organizations need to start mastering AI to remain competitive.
4. Automated Recruitment

Recruiting automation tools enable your team to speed up the process and find top talent in less time. By automating sourcing, resume screening, and interview scheduling, you can free up valuable recruiter time so they can spend more energy building relationships with candidates and delivering an excellent candidate experience.

A common misconception is that AI replaces recruiters, but it actually complements their work by eliminating repetitive tasks. Recruiters have full plates when it comes to reading applications, updating applicant tracking systems (ATS), coordinating with other teams on hiring decisions, and more. Automating these tasks allows them to spend more time on high-value activities such as interacting with candidates and nurturing the company brand.

In addition to saving time and accelerating the recruitment process, automated recruiting tools can also improve the quality of hires. For example, using a candidate assessment tool that evaluates a job candidate’s words, tone of voice, and facial expressions can help identify whether they are likely to be a good fit for your organization. This can make the difference between finding a talented and engaged employee and a candidate that may leave after only a few months.

Automated recruitment tools can also help eliminate bias in the hiring process. Unlike manual processes, which can be susceptible to human bias, AI solutions can provide objective results that are free from emotional factors. This can be particularly helpful when determining how to rank applicants, as it avoids skewing the process by giving more weight to certain traits such as gender or age. Nonetheless, it’s still important to be transparent about how your AI solution is making its decisions and explain why Candidate A receives a higher rating than Candidate B. This will give candidates peace of mind and reduce the risk that they will feel unfairly treated.
5. Seamless Workflow

Using AI tools to optimize your workflow is a smart move for anyone seeking a competitive advantage. Whether you need to speed up an aging process or simply want to free up time and resources for growth and expansion, the right AI solution can help. There are many different AI productivity tools available, but deciding which one is best for your needs depends on your specific business goals and objectives. Here are some examples of how AI can accelerate your work process:

For example, if you have a team that produces a lot of content, it might be beneficial to use generative AI tools to automate the creation of first drafts. This can save hours of time for your team, and the resulting content is likely to be more accurate than manual efforts.

Other types of content that can be optimized by AI include sales contracts, offer letters, and vendor agreements. These processes often involve a lot of repetitive manual steps that can be automated with an e-signature tool. With a natively integrated e-signature tool like Box Sign, you can eliminate the need for paper documents, streamlining workflows and increasing productivity.

The best way to determine how much of your workflow can be optimized by leveraging AI is to create a content workflow map. This will show how each individual task fits into the overall project and will highlight any areas that might be causing bottlenecks. For example, if one person is struggling to stay on top of their work, it could be an indicator that they aren’t collaborating well with the rest of the team.

With advances in hardware and software, it has never been easier to create a seamless workflow. The key is choosing a quality graphical user interface (GUI) that everyone in your company will be comfortable using.