Generative AI (GenAI) is more than just a buzzword—it’s a transformative force that’s reshaping how businesses operate, innovate, and engage with customers. But with all the noise around AI, many business leaders are left wondering: How do you actually implement generative AI in a way that delivers real value?
In this article, we break down practical, actionable steps businesses can take to integrate GenAI strategy—without falling for the hype. Whether you're a startup or an enterprise, this guide will help you move from AI-curious to AI-capable.
What Is Generative AI—and Why Should Businesses Care?
Generative AI refers to artificial intelligence systems that can create content—text, images, code, music, and more—based on training data. Unlike traditional automation, GenAI doesn’t just follow instructions; it generates new, often innovative output.
Learn more: What is GenAI?
Why it matters for businesses:
From automating customer support to creating marketing content, Generative AI for business can cut costs, speed up workflows, and unlock creativity. But tapping into these benefits requires more than downloading an AI tool—it calls for a clear strategy.
A Guide to Use Generative AI for Business
Step 1: Define the Problem You Want to Solve
The biggest mistake businesses make? Jumping into AI without a clear use case.
Ask yourself:
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Where are your current bottlenecks?
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Which teams are overwhelmed with repetitive tasks?
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Are there areas where personalization or content generation could boost performance?
For example, if you’re an e-commerce company, you might use GenAI to generate product descriptions at scale, freeing up marketers for strategic work.
Step 2: Choose High-Impact Use Cases First
Start small, but think big. Focus on use cases where AI can make an immediate, measurable impact. Some proven examples:
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Marketing: Ad copy, blogs, social captions, SEO content
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Customer service: AI-powered chatbots, ticket summaries
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Sales: Personalized outreach emails, lead scoring
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Product: Prototyping features, UI design suggestions
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HR: Resume screening, job description generation
Not sure where to begin? Try one pilot project in a low-risk area and measure its success.
Step 3: Build or Buy? Select the Right Tools
There are two main ways to implement generative AI for business:
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Build custom models (if you have in-house data science teams and privacy concerns).
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Use off-the-shelf platforms like OpenAI’s GPT, Google Gemini, or industry-specific tools.
You can also explore solutions from ecosystem partners like Glance that are bringing GenAI applications right on mobile, and smart TV platforms.
Tip: Prioritize tools that are:
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Easy to integrate into your workflow
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Transparent in how they handle data
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Scalable as your needs grow
Step 4: Create a Responsible AI Strategy
With great power comes great responsibility. Any AI strategy rollout needs governance and ethics baked in from the start.
Key pillars of an AI strategy:
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Transparency: Can users understand and trust AI-generated content?
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Privacy: Are you safeguarding user and customer data?
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Bias mitigation: Are your outputs fair and inclusive?
Educate your teams on responsible AI use and review your outputs regularly.
Step 5: Train Your Teams (Not Just the Tech)
AI isn’t plug-and-play. To succeed, your people need to evolve with the tech.
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Offer training sessions on using AI tools
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Encourage experimentation in a sandbox environment
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Celebrate small wins and AI-powered improvements
Change management is just as important as tech adoption. If your teams don’t understand the benefit of Generative AI for business and AI strategy , they won’t use it effectively.
Step 6: Measure and Iterate
What gets measured gets improved. Define clear success metrics:
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Time saved
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Output volume
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Engagement or conversion improvements
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Cost reduction
Track these over time and iterate based on what works. The Generative AI for business is still evolving, and your implementation should be too.
Why Practicality Wins in the AI Race?
The companies seeing real ROI from generative AI aren’t chasing trends. They’re doing the quiet, consistent work of identifying real problems, testing solutions, and building responsible processes.
That’s where Glance comes in. As a platform that’s actively developing real-world GenAI applications—from AI-powered content discovery on lock screens to smart TV experiences—Glance helps users and businesses alike experience the benefits of GenAI without the buzzwords.
Final Thoughts
Implementing generative AI doesn’t have to be overwhelming. With the right mindset and strategy, any business—big or small—can move beyond the hype and start creating real value today.
So, where will you begin?
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