AI-Powered Revenue Growth for Startups: Embracing AI to Delight Customers and Drive Success

AI-Powered Revenue Growth for Startups

Regardless of industry or what you’re selling, delighting your customers is key to your success — where trust, personalization, and seamless interactions intersect. But pleasing your customers isn’t just about meeting their needs — you need to be one step ahead. In fact, expect businesses to anticipate their needs. But making customers happy is often easier said than done. The sheer volume of data and the fact it’s often scattered across different systems within an organization can make this challenging to achieve. Inefficient systems, disconnected data, manual processes, plus a shortage of talent and resources all stand in the way of an organization becoming a customer company.

The Power of IT in Customer Delight

So how will your business meet the growing expectations of customers? They’ll rely on IT. Unlike ever before, organizations have the power to place customers at the center of everything they do. From enabling personalized touchpoints to curated buying experiences, IT makes all this possible. With a single platform that connects your data and systems, creates a complete and harmonized customer profile, and securely automates processes at scale, IT empowers organizations to drive success, deliver impact, and delight customers.

To become an intelligent customer company, your employee and customer experiences must be powered by AI. IT leaders agree: AI will help them better serve customers, and organizations are thus accelerating their AI adoption. But this isn’t just a flashy trend. AI has proven to have a strong ROI. AI solutions have boosted revenue growth and improved operational efficiency for 67% and 79% of organizations, respectively. Today, AI has become a priority for startup companies. Through the power of the right AI technology, like machine learning and natural language processing, organizations can make smarter predictions, serve up better recommendations, and generate more personalized interactions for customers — all without needing a data analyst.

AI-Powered Interactions

Customers expect consistency across their interactions with an organization. With the power of AI, you can build the seamless interactions they’re craving. Here’s where AI-powered chatbots, apps, and self-service portals can come in. In recent years, chatbot usage has exploded. With this technology, companies can generate personalized responses to customer inquiries and streamline the creation of self-service knowledge articles. This means fewer manual tasks, better customer experiences, and more time to concentrate on innovation. Hello, improved buying experiences and increased productivity!

But AI has emerged in ways that not only support customer interactions but help other parts of the organization perform their jobs better and faster. Consider how AI can help automate sales operations or optimize supply chain forecasting. To unlock the power of AI, you need:

1. Reliable and trusted customer data to build a harmonized customer profile
2. Pre-built, custom, or public AI models — ideally a combination of these — to feed your data into so insights can be leveraged into automated actions
3. A single platform with security and governance built-in to enable both innovations and increased customer trust.

The Challenge of Data Integration

But for years, the promise has been that with more data, we’d know exactly what we needed at the right moment to deliver amazing customer experiences. It’s a critical component of becoming a customer company. But this reality is still far out of reach for many organizations. The amount of data generated each day continues increasing. By 2025, there will be 463 exabytes of data created daily, with the amount forecasted to reach 175 zettabytes by 2025. An organization’s data is often siloed in a host of different systems. To connect and harmonize it can require specific, costly, technical expertise, and there are also security and compliance concerns to consider. It’s no wonder that 85% of data leaders say that their struggle to integrate siloed data is hindering their digital transformation efforts. Right now, data is being generated faster than IT’s ability to integrate it, let alone harmonize it and derive meaningful insights. Today, 88% of organizations say they struggle to generate insights from all their data. What is data when you aren’t able to translate it into value?

To tackle the task, you have to connect to data from any system quickly and securely. But this shouldn’t be done with custom code — that will only increase technical debt. Rather, create, use, and reuse data integration assets, like APIs and connectors, on a platform with DevOps and security built in. Since modern enterprises on average use more than 1,200 applications, a uniform API strategy will help you manage and secure all of your previous integration efforts and easily help you create and reuse new ones. Similarly, having the means to govern data helps minimize potential errors by establishing processes and policies for usage and building trust in the data being used to make decisions across your organization.

Leveraging Data for Action

To realize the full value of your data, you need to go from data collection to data that drives action by:

1. Harmonizing and transforming your data into a consistent format to create a unified customer profile
2. Connecting your customer profile to the engagement layer your customers care about
3. Using your data to enable your organization to deliver great experiences

Simply having lots of data won’t allow you to get any value from AI. But with a single platform to manage data, integration, reuse, security, and DevOps, you can harmonize and transform your data into something that triggers action and helps you delight your customers.

Prioritizing Projects and Customer Experience

The number of projects IT is asked to deliver continues to increase — currently at a rate of roughly 1.9x the IT team’s capacity since 2021. With ever-growing project lists, IT leaders often struggle to prioritize when demand outpaces time, budget, or both. But it’s not just about the number of projects. Customer expectations are on the rise. 80% of customers say that the experience a company provides is as important as the product or service it’s delivering. So how do you deliver exceptional customer experiences more efficiently? By leveraging the insights from AI and taking a data-driven approach to automation. In fact, 56% of IT leaders have identified automation as their strategic priority, with 41% specifically prioritizing process automation. With data-driven automation, data insights can be transformed into action that will grow revenue, improve collaboration, and boost productivity. Today, 82% of organizations use AI to coordinate across business units resulting in better integration of customer data and improved customer experiences. Tools like Robotic Process Automation (RPA) are helping teams not just build shortcuts, but streamline processes to alleviate pressure on IT and relieve them of manual tasks. Further, 56% of organizations have seen an increase in productivity after enacting data-driven automation initiatives. By reducing manual processes through automation, organizations can save time and resources that can be better spent on delighting customers.

Startups that are combining automation with valuable customer insights to deliver workflows and better customer experiences are seeing significant revenue growth. To deliver this type of impact through automation, you need to:

1. Activate RPA to extract data from legacy systems and assets, like docs and images, that would otherwise require manual work to access
2. Make it possible to reuse existing data and integration components, such as APIs and connectors
3. Enable the use of low- and no-code across your organization so even non-developers can participate in self-serve automation projects
4. Have a space for your developers to work effectively without affecting production or inviting security risks, making it easy to track changes, seamlessly integrate with version control, and effectively handle release management
5. Mask data and leverage security best practices like end-to-end data encryption to secure sensitive information (like de-identifying PII) giving your developers realistic datasets to test, without compromising security
6. Employ tools like universal API management to enable consistent data governance across systems and users

Securing Customer Data

Security concerns hinder customer delight. Successful customer relationships are built on trust. Therefore, securing customer data and satisfying regulatory compliance must be top of mind for IT as part of laying the foundation for building a customer company. The role of IT in securing customer data is vital. A breach of data can often damage a customer relationship beyond repair. But like ripples on the surface of the water, the effect grows. The average cost of a data breach is $3.86 million. When there are security concerns, how can you identify them and resolve them quickly? Most importantly, organizations must enable secure and controlled access to data. Only then can teams begin to deliver better customer experiences. But with growing access to data, there are increased security risks. IT teams must be able to manage and monitor all of the tools being deployed as part of the AI strategy.

With real-time visibility into the health of your application network, you can holistically monitor all your APIs, integrations, and microservices in real time, enabling data governance across the enterprise — even across self-serve and automation tools. As a result, organizations accelerate issue identification and root-cause analysis to ensure resilient infrastructure and high performance. Developers need the right data and environment where they can test effectively, iterate rapidly, and deploy safely.

To establish oversight and ensure complete visibility into data governance across the enterprise, you must:

1. Control who has access to which data and affirm that person’s identity
2. Enable secure access to data in sandbox environments or when monitoring events
3. Implement security best practices like end-to-end data encryption to protect sensitive information
4. Establish processes and policies for usage to build trust in the data being used to make decisions
5. Use tools like API management to enable consistent data governance across systems and users

A proactive data strategy keeps security and privacy top of mind. And, with a platform where security and central governance are built-in, you can accelerate development and release cycles while ensuring customer data is protected.

AI Empowering the Intelligent Customer Company

AI empowers organizations to deliver powerful customer experiences by driving efficiency through automation and building trust by securing customer data. All of this contributes to building an intelligent customer company — and it’s up to IT to deliver. From product design to marketing to customer support, AI will transform the customer experience at every touchpoint. Armed with the right tools, IT can lead the organization to become an intelligent customer company.

Conclusion

In conclusion, AI-powered revenue growth for startups is not just a flashy trend; it’s a proven strategy. By leveraging AI technology, organizations can anticipate customer needs, deliver personalized experiences, and automate processes to drive success and delight customers. However, organizations must address the challenge of data integration and prioritize projects that enhance the customer experience. With data-driven automation and a focus on security and governance, startups can unlock the full potential of AI and become intelligent customer companies. It’s time for IT leaders to embrace AI and lead the way in building a customer-centric organization.