Gen AI and Automation: 7 Processes to Automate Before Gen AI Comes In


Gen AI and automation are top priorities for every business leader today. They’re under constant pressure to keep up with the latest technological trends!

There is no doubt generative AI or Gen AI is transforming enterprise workflows. But the transition and adoption are not devoid of challenges! So, before bringing in tools like ChatGPT, Gemini, or Copilot, it’s wiser to automate first.

It’s not a question of AI vs Automation — it’s about choosing a more pragmatic pathway to AI success.  

In this blog, we’ll tell you: 

  • Why automation is the bedrock you need to layer Gen AI on for greater benefits and value. 
  • Some key high-impact pre-AI automations you can launch to set the stage. 
  • How this approach saves you from sub-par outcomes and despair, especially if you’re an organization with little or no AI experience. 

Gen AI and Automation: Different Yet Complementary 

Traditional automation and generative AI are distinct concepts, not competing against each other. In fact, they’re synergistic. But before going ahead, let’s brush up on the concepts: 

  • Generative AI unlocks new possibilities for creativity, innovation, and hyper-personalization. Business applications include content creation, design, audio & video generation, and coding/development. It’s characterized by its ability to think, self-learn, and adapt.
  • Automation excels at optimizing repetitive, mundane tasks. A pre-defined set of rules ensures better control over the process. It frees teams from routine manual work to take up high-value activities. 

Both technologies help you drive better efficiency and resource optimization. Human judgment and supervision add more reliability, nonetheless. 

Well, Gen AI maturity, performance, and reliability are still a work in progress. But as said earlier, businesses can’t afford to miss riding the wave either.

Hence, it makes even more sense to start by automating tasks you want Gen AI-enabled. 

Layer Up to Maximize Value: Automate First, AI Next

Let’s understand how automation clears the decks, ensures best practices, and creates a solid AI foundation: 

  • Data hygiene for Gen AI models: Automation ensures clean, consistent, and structured data. It provides Gen AI with accurate, reliable inputs to work with. 
  • Workflow standardization: Automated, rule-based processes create predictable workflows. This makes it easier to integrate Gen AI without chaos. 
  • Customize AI as per brand needs: Automation lays down clear process frameworks, which allows customizing Gen AI to fit brand voice, tone, and operational rules. 
  • Responsible AI/Gen AI: Automation ensures compliance checks and data governance, allowing safe scaling of Gen AI within ethical and regulatory boundaries. 

7 Processes to Automate Before You Bring ChatGPT or Gemini

So, you see it’s a win-win: automate simple stuff first and scale up to AI/Gen AI when you’re ready. Here’re the top workflows you should consider automating for Generative AI to truly shine. 

  • Customer Service & Support 
  • Data Analysis & Reporting 
  • Finance & Accounting
  • Human Resource Management 
  • Legal, Compliance, Contract Documentation 
  • Marketing, Sales, and CRM 
  • Supply Chain & Logistics

Don’t Fall for Gen AI vs Automation; Leverage the Power Duo 

Automating repetitive, high-volume, rule-based processes helps businesses eliminate inefficiencies, overcome compliance hurdles, and create a reliable launchpad for Gen AI success. This approach also reduces the time to implement more complex intelligent automations in the future.  

And do not forget the cost factor. Freemiums might suffice for individuals and small firms, but enterprise-grade paid generative AI tools are the way to go if you’re a medium or large-sized company.  

Layering AI on automation ensures the AI model can be trained as per your exact operational needs. Importantly, it serves as your AI investment safety net, streamlining costs overall. 

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Location: Dubai - United Arab Emirates

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