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  • Writer's pictureSteffan Willis

Amplifying B2B Business Productivity: Harnessing the Power of Code and AI Automation

Updated: Mar 29, 2023


Welcome to the world of automation, where artificial intelligence (AI) and custom code are joining forces to revolutionize how businesses operate. By automating specific tasks, B2B companies can unleash unprecedented productivity gains that not only save time but also enhance performance. But there's a catch – many organizations lack the basic coding skills necessary to harness this power. In this article, we'll explore how generative AI, like ChatGPT, can help bridge the gap and enable even non-technical employees to create effective automation solutions. Let's dive in!

The Rising Importance of AI in Task Automation

The generative AI revolution

AI technology has come a long way, and the recent advancements in generative AI are nothing short of awe-inspiring. These intelligent systems can create content, analyze data, and perform complex tasks with minimal human intervention. The impact of generative AI on the business landscape is immense, as it opens the door to automating a wide array of tasks that previously required human input. We have talked previously about how it is transforming the world of content marketing, but the applications across the business world are immense.

Expanding the range of tasks that can be automated

As AI capabilities continue to advance, the scope of automation is broadening. What once seemed impossible, like creating personalized content or drafting complex reports, is now within reach. This means businesses can automate more tasks than ever, freeing up valuable time and resources for strategic decision-making and innovation.

Benefits of automating non-recurring and highly specific tasks

While large-scale repetitive tasks have long been the focus of automation efforts, the real goldmine lies in automating non-recurring or highly specific tasks. These tasks may not seem significant at first glance, but automating them can yield substantial efficiency gains. By customizing the automation process to fit a company's unique needs, businesses can unlock previously untapped productivity potential.

The Barrier: Lack of Basic Coding Skills

The disconnect between business functions and coding ability

Unfortunately, many organizations struggle to capitalize on the power of AI and automation due to a lack of basic coding skills among their staff. This knowledge gap prevents businesses from automating tasks that could save time, money, and effort. As a result, countless opportunities for growth and improvement are missed.

The value of investing in coding skills for non-technical staff

It's crucial for businesses to recognize the importance of coding skills and invest in training their staff. This investment not only empowers employees to automate tasks but also fosters a culture of innovation and continuous improvement. In turn, companies can stay ahead of the competition and adapt to the ever-changing business landscape.

A recent study by ADP Singapore found that almost half of employees believe their jobs are at risk in the next 5-10 years from technology with many planning to change careers. Workers want to acquire new skills but there is a significant gap between their expectations and reality. Two thirds of workers in Singapore have invested in acquiring new skills. This is an opportunity to both future-proof your business and your workforce.

67 percent of Singaporean workers have personally invested in acquiring new skills.

Source: ADP Singapore

The role of no-code solutions for large-scale repetitive tasks

No-code software solutions have become increasingly popular for automating large-scale repetitive tasks. These platforms allow users to create automation workflows without writing a single line of code. While no-code solutions can be valuable for certain tasks, they often fall short when it comes to automating non-recurring or highly specific tasks that are unique to a particular business. This is where custom code and AI automation shine.

Bridging the Gap: ChatGPT as a Coding Partner

How ChatGPT simplifies the learning curve

Enter ChatGPT, a powerful AI language model that can dramatically reduce the learning curve associated with coding. By guiding users through the process of writing and debugging code, ChatGPT makes it feasible to build relatively complex programs with minimal prior experience. This means even non-technical staff can contribute to automation efforts and drive productivity gains.

Building complex programs with minimal experience

With ChatGPT as a coding partner, users can leverage AI-generated code snippets, suggestions, and debugging assistance to create custom automation solutions. This streamlined process empowers employees to tackle complex programming tasks that once seemed daunting, all without extensive prior coding knowledge. It also allows tactical, or short-term automation of non-recurring tasks.

The importance of understanding task logic and sequencing

Despite the assistance provided by AI tools like ChatGPT, it's still crucial for those automating tasks to have a clear understanding of the logic and sequencing involved. By grasping the intricacies of a specific task, employees are better equipped to develop effective automation solutions that meet the unique needs of their organization.

Case Study: Automating Personalized Sales and Marketing Emails

Step 1 - Identifying potential companies and decision makers

Let's consider a real-world example: automating the creation of personalized sales and marketing emails. First, we need to identify potential target companies and relevant decision makers within those businesses. Using web scraping tools, we can extract a list of companies and individuals from sources like LinkedIn Sales Navigator and structure the data in a table.

Step 2 - Researching individuals and companies

Autogenerated client profile created by feeding ChatGPT a scrape from LinkedIn
Autogenerated client profile created by feeding ChatGPT a scrape from LinkedIn. The results are generated using the ChatGPT API.

Next, we must research the individuals and companies to create personalized content. By scraping the contents of LinkedIn profiles, we can use ChatGPT to generate summaries of each person's experience and interests. Similarly, we can research companies by scraping their websites and social media profiles, then using ChatGPT to analyze the text and identify specific topics or information, such as the types of content they produce or the services they offer.

Step 3 - Synthesizing information into a structured email

Once we've gathered the necessary data, we can pass it to ChatGPT to auto-generate personalized emails. Although this process may not be entirely automated – as some context or information might need manual input – it significantly reduces the effort required to create customized, engaging emails for business development purposes.

Applying the Same Approach to Other Data Synthesis Tasks

Identifying tasks suitable for automation

The process outlined in the case study can be adapted to automate various tasks that involve data synthesis. By examining their workflows and identifying tasks that require data collection, analysis, or interpretation, businesses can uncover countless opportunities for automation.

Adapting the process to fit specific business needs

Each business has unique requirements, and the automation process must be tailored accordingly. By carefully considering the specific needs of an organization, employees can create custom automation solutions that maximize efficiency and productivity gains.

The role of human intervention in automated processes

While AI and automation can handle many aspects of a task, it's essential to recognize that human input is still valuable. By striking a balance between automation and human intervention, businesses can ensure their automated processes are accurate, effective, and maintain a personal touch.


The combination of code and AI automation offers immense potential for unlocking productivity gains in B2B businesses. By investing in coding skills and leveraging powerful AI tools like ChatGPT, companies can automate a wide range of tasks, from personalized content creation to complex data analysis. Embracing the future of work through automation and AI integration not only leads to efficiency improvements but also fosters a culture of innovation and adaptability that will help businesses thrive in an ever-evolving landscape.

Why Choose Interpretive Economics

At Interpretive Economics, we pride ourselves on delivering cutting-edge AI-enabled content generation services, alongside comprehensive consulting and training solutions. Our expertise in tactical automation spans from process design and code development to Python training courses tailored for data analysis. We equip our clients with the knowledge and skills needed to master prompt design, data structuring, and API deployment, ensuring they can confidently harness the full potential of AI and automation in their businesses. Trust Interpretive Economics to guide your organization towards greater efficiency and success through our professional and innovative services.

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