Explore the insight of thirteen industry leaders and professionals as they share their experiences of harnessing the power of AI to streamline repetitive tasks. From CEOs to Operations Managers, their insights range from automating resume screening to adding pricing decision support. Dive in to discover the transformative power of AI in various business processes.
- Automating Resume Screening
- Enhancing Video Descriptions
- Driving AWS Client Onboarding
- Drafting Company Announcements
- Optimizing Invoice Processing
- Empowering Book Editing
- Assisting Email Response Drafting
- Supporting Customers via Chatbots
- Personalizing Rejection Letters
- Streamlining Ticket Resolution
- Writing SEO Meta Descriptions
- Adding Pricing Decision Support
- Ideation, Research and Planning
Automating Resume Screening with AI
A great example of harnessing the power of AI in our agency is the way we handle initial resume screening. We used to manually sift through hundreds of resumes, which was incredibly time-consuming. But now, we use an AI-powered tool that automatically scans resumes and shortlists candidates based on job requirements. It’s not only saved us a ton of time, but it’s also helped reduce bias in our hiring process.
Enhancing Video Descriptions
Making video tutorials for our software is a big part of the game because customers need to be trained to use it. Generative AI helps us create video descriptions that accurately reflect the content, the main idea, and serve to better rank our videos.
Before we get to work on the video production, we make a script of what we are going to show and tell. Once the video is ready, we ask ChatGPT to create a captivating description based on the script. Then we weigh two options: our own and the AI-produced one. Usually, it improves our video descriptions by far.
Driving AWS Client Onboarding
As an AWS Managed Services provider, numerous clients are onboarded onto the platform, requiring extensive data migration, account setup, and resource allocation.
Initially, this process was handled manually, which took significant time and had the potential for human errors. Recognizing the need for efficiency, an AI-driven customer-onboarding platform was developed that scans incoming data, maps it to the appropriate fields, and migrates it seamlessly, eliminating manual intervention.
It also dynamically allocates resources based on predefined criteria, ensuring optimal utilization and cost efficiency. Clients now experience a smooth and expedited onboarding process, with minimal involvement required from the team, due to the AI-powered platform.
Drafting Company Announcements
At QBench, I have started using AI to announce HR and administrative changes to the company. None of these are emails that I couldn’t write myself, but it’s intriguing to work with the AI using prompts like, “Explain to our company why we are moving from a bi-weekly to semi-monthly payroll schedule.”
As is often the case, the bones of the message are strong. I add a bit of flavor and humanity, but then it’s ready to go. If there are any clarity issues, they are more than welcome to schedule a meeting to talk through it.
Optimizing Invoice Processing
AI has enabled businesses to operate more efficiently and in a smarter manner. For instance, a business I work with recently rolled out an AI platform that was able to automate data entry for incoming invoices.
This eliminated the need for manual entry from multiple employees and significantly reduced errors in data processing, while increasing accuracy and timeliness of each invoice managed within the system. The result was improved customer satisfaction due to faster order-to-cash cycles.
With this AI tool, we were able to streamline a repetitive process, allowing our team to focus more on business-critical tasks and improving our overall operational efficiency.
Empowering Book Editing
At Authors On Mission, we’ve harnessed the power of AI to optimize our book editing process, traditionally one of the most time-consuming and repetitive tasks. By integrating AI-powered grammar and style checking tools, like Grammarly and Hemingway Editor, into our workflow, we’ve managed to streamline the initial editing phase significantly.
These tools help highlight errors, suggest improvements, and refine writing style, providing a solid foundation for our human editors. They can then focus on more nuanced aspects like storyline continuity, voice consistency, and overall narrative structure.
By leveraging AI, we’ve not only increased our editing efficiency but also improved the quality of our output. This optimization has led to quicker turnaround times, enhancing client satisfaction, while upholding our commitment to delivering the highest quality.
Assisting Email Response Drafting
Managing my inbox used to consume more of my workday than I’d like to admit. Dealing with repetitive queries felt like a never-ending cycle. When I discovered AI-powered email tools, I started to feel like I had more time in a day. These tools help draft responses to common inquiries, cutting down my email management time considerably.
My favorite thing is that AI tools can match the tone of the email, or learn my unique voice and respond or draft new emails like I would. I still maintain control, however, as I always review and customize each message before sending it out. This AI-enabled process not only saves time but also ensures my replies are timely and accurately reflect my business’s voice and values.
Supporting Customers via Chatbot
Our tech company had an exciting opportunity to develop and implement an AI chatbot for one of our clients. The client sought a solution to streamline their customer support process and handle repetitive inquiries more efficiently. We harnessed the power of AI to create a sophisticated chatbot capable of understanding natural language and responding to common questions about the client’s product, its features, and usage.
The AI chatbot significantly reduced the workload of their customer support team. By handling routine queries and providing instant responses, the chatbot allowed the human agents to focus on more complex and personalized interactions with customers, improving overall customer satisfaction.
Moreover, the chatbot was programmed to recognize specific keywords that indicated a need for human intervention. When such instances were detected, the bot seamlessly transferred the conversation to a live agent, ensuring a seamless transition and a human touch when necessary.
Personalizing Rejection Letters
As the founder and managing partner at Vetted, a recruiting firm serving growth-stage tech companies in Boston and beyond, personalizing rejection letters is a priority. This approach shows that every candidate is valued.
However, it’s also a time-consuming process.
In the digital age, hundreds of applicants might apply for a single position, some of whom are decidedly unqualified for the role. Manually rejecting all these applicants would be ideal, but it’s simply not feasible.
This is where AI comes into play. Simple personalization techniques, like addressing an opening line, can easily be batch-programmed. Set parameters take it a step further by ensuring that wrongly formatted applications are an automatic rejection, saving wasted time. As the technology improves, the use of AI to respond to a majority of emails is likely. It’s just the reality of our communication-heavy age.
Streamlining Ticket Resolution
One specific instance where our team harnessed the power of AI to streamline a repetitive process was in automating customer support ticket resolution. Instead of manually assigning and categorizing tickets, we developed an AI-powered system that analyzed the content and context of each ticket using natural language processing techniques.
This allowed us to automatically route tickets to the appropriate teams or individuals based on their expertise. The AI system not only saved considerable time and effort previously spent on manual ticket assignment, but also improved the accuracy and speed of response by ensuring relevant experts were handling each case.
By integrating AI into our customer support workflow, we were able to handle a larger volume of tickets more efficiently, resulting in higher customer satisfaction levels and lower response times.
Writing SEO Meta Descriptions
One repetitive process we deal with as SEOs is updating meta descriptions across an entire website.
They have no ranking value, and Google rewrites them 70% of the time. Because of this, this task always falls to the bottom of the priority list and is quite repetitive.
To combat this, we use the premium version of ChatGPT to crawl our spreadsheets and generate meta descriptions for us. Using the “Chat With Your Data” and “Scraper” plugins, we can create meta descriptions at scale with no involvement.
Once that’s done, we can bulk upload these meta descriptions with no human involvement. This saves us hours of time while automating an incredibly repetitive task.
Adding Pricing Decision Support
In an instance where I harnessed AI to streamline a repetitive process, my team implemented a decision-support system powered by AI algorithms. This system analyzed historical sales data, market trends, and customer preferences to provide valuable insights and recommendations for pricing strategies.
By leveraging machine-learning techniques, we could optimize pricing decisions and increase profitability. The AI-assisted decision-making system not only reduced the time and effort required for manual analysis but also improved the accuracy and quality of our pricing decisions.
Ideation, Research and Project Planning
In terms of project and creative planning, I’ve utilized AI in ideation, brainstorming, research, developing prioritization frameworks, and removing rote sub-task processes. Additionally, integrated plug-ins make written communication and setting up reminders so much easier. Using these tools to assist in milestone setting also allows me to focus on more strategic planning.
Providing some level of context and the desired format for language model prompts ensures the production of higher quality, consistent content. Then, revising the output and performing quality testing is, and will likely always be a necessary step to ensure there is still a human in the loop.