Practical AI: Integrating Automation into Everyday Processes

Artificial intelligence (AI) is revolutionizing industries worldwide, yet many companies outside the AI sector struggle to integrate it effectively into their everyday operations. While tools like ChatGPT are widely adopted, most businesses have yet to implement AI-driven solutions tailored to their specific needs. At Glitzi, a platform for at-home beauty and wellness services, we took a structured approach to integrating AI into our internal processes. By leveraging expert guidance, mapping our most time-consuming manual processes, and fostering a company-wide AI culture, we have significantly improved efficiency and decision-making. This article outlines Glitzi's AI journey, providing practical insights for companies seeking to implement AI successfully.

Despite the rapid advancements in AI, practical implementations within non-AI businesses remain scattered. Many AI solutions are still in development, and best practices for adoption are shared across online forums rather than formalized business frameworks. Companies that do not develop AI-powered products often lack a clear roadmap to integrate AI into their operations. At Glitzi, we identified this gap as an opportunity.

We embarked on an AI adoption journey guided by a structured methodology:

1. Partnering with a knowledgeable AI adviser who had successfully implemented AI in business processes.

2. Designating an internal AI leader responsible for AI implementation across the company.

3. Mapping manual and time-consuming processes to identify areas for automation.

4. Testing and implementing AI tools to improve operational efficiency.

5. Providing company-wide AI training and democratizing access to AI tools for employees at all levels.

6. Showcasing success stories to encourage AI adoption internally.

7. Building a continuous learning culture that keeps employees proactive in exploring new AI tools.

This article provides a practical guide to how Glitzi has automated key processes using AI and the lessons we learned along the way.

AI in the Selection and Onboarding of Beauty and Spa Professionals

One of the most impactful applications of AI at Glitzi has been in automating the onboarding process for beauty and wellness professionals. Previously, our team manually reached out to potential candidates on different platforms, conducted outbound calls, and explained our business model.

By leveraging AI-driven automation, we:

• Automated outreach on different platforms, expanding our reach to more independent professionals.

• Implemented an AI voice agent that handles outbound calls, filters candidates, and provides an initial explanation of what Glitzi is about.

• Saved significant time and resources, allowing our team to focus on final-stage verifications and quality assurance.

This innovation has increased the speed of onboarding, improved the experience for independent professionals, and allowed us to affiliate high-quality service providers at scale.

AI for Developer Productivity: Supercharging a Small Team

As a growing startup, Glitzi operates with a small but highly efficient development team. To maximize their output, we implemented AI-powered coding assistants such as Cursor, an AI tool designed to enhance productivity.

These AI-powered development tools help by:

• Automating code suggestions and optimizations, reducing development time.

• Debugging and detecting potential issues early, minimizing errors in production.

• Speeding up the deployment of new features, ensuring a better experience for our users.

By using AI-driven tools, our developers have gained superpowers, allowing them to work faster and more effectively, ensuring that Glitzi can continuously improve and scale its platform.

AI-Powered Automation for Administrative and Operations Processes

Managing a fast-growing platform involves numerous manual administrative and operational tasks that consume valuable time. To address this, we have implemented AI agents dedicated to specific tasks that help automate and streamline repetitive processes.

Some of the key areas where AI has optimized our operations include:

• Automating appointment confirmations and reminders to reduce no-shows and improve scheduling efficiency.

• Generating reports and handling data entry tasks that previously required hours of manual work.

• Optimizing inventory and logistics for our professional network, ensuring seamless service delivery.

By automating these processes, we have significantly reduced operational inefficiencies, allowing our team to focus on higher-value activities that drive growth.

AI for 24/7 Customer and Professional Support

To enhance the customer experience and provide better support to our professionals, we are developing AI-driven customer support agents that will be available 24/7.

These AI agents will:

• Provide instant responses to common customer inquiries, reducing wait times.

• Offer personalized recommendations based on customer preferences and booking history.

• Assist professionals with their scheduling, earnings tracking, and service optimization.

This initiative will ensure that both our customers and professionals receive faster, more efficient, and personalized support, improving overall satisfaction and engagement with our platform.

AI in Product Development: The Reverse Engineering Methodology

At Glitzi, we believe in iterative product development, and AI plays a crucial role in helping us test new ideas efficiently. We have implemented a reverse engineering methodology that allows us to build and test new features or products before committing significant engineering resources.

Our process includes:

• Creating MVPs (Minimum Viable Products) using no-code tools like Replit and Lovable.

• Testing these MVPs in real-world scenarios to gather user feedback and validate demand.

• Only after proving the concept through an MVP does the project move to our engineering team for full-scale development.

This AI-driven approach reduces development risks, allows us to innovate faster, and ensures that every new feature or product has a validated market need before investing in full development.

Glitzi’s AI integration journey demonstrates that AI is not reserved for tech giants or AI-driven startups — any company can implement AI effectively with the right approach. By identifying bottlenecks, testing AI solutions, and fostering a company-wide AI culture, we have streamlined operations, improved efficiency, and enhanced customer satisfaction.

For businesses looking to embrace AI, our experience highlights a clear methodology:

1. Seek expert guidance.

2. Assign a dedicated AI leader.

3. Identify key processes for automation.

4. Test and refine AI tools.

5. Empower employees through AI training.

6. Promote continuous learning and adaptation.

However, this is just the beginning. Every week, we explore new ways AI can enhance our operations, optimize our processes, and create new opportunities for innovation. The potential is vast, and we are eager to continue discovering how AI can push Glitzi to the next level.