What is Enterprise AI Search?

In today's complex business landscape, the promise of artificial intelligence (AI) to revolutionize operations is undeniable. Yet, many enterprises struggle to translate that promise into tangible results. Why? The answer lies in the very nature of modern business—a sprawling web of disconnected applications and siloed data.

Imagine this: your organization boasts hundreds, even thousands of applications. A Salesforce report reveals the average enterprise juggles over 1,000, but only 29% are integrated. This fragmentation leads to a chaotic information landscape, where employees spend an exorbitant amount of time searching for critical data. In fact, the above report indicates salespeople alone spend 71% of their time on non-selling tasks, like administrative duties and manual data entry. These statistics aren't just numbers; they represent a fundamental problem—enterprises have become overly complex and siloed, hindering productivity and impacting customer service.

The disconnected data problem 

In the modern enterprise, many are experiencing a productivity crisis. Employees are drowning in a sea of data, trapped between information overload, siloed systems, and inconsistent user experiences. This fractured landscape, characterized by generic search results, an inability to act on discovered insights, and fragmented AI tools, not only wastes valuable time but also introduces significant security risks. 

The result is a workforce struggling to navigate a complex digital environment, hindering innovation, and impacting overall business efficiency. These issues translate to wasted time, lost productivity and ultimately, a diminished ability to serve customers effectively. 

This complexity manifests in several key challenges:

• Information overload: With too many applications, employees struggle to pinpoint where information resides.
• Data silos: Unintegrated applications force employees to search multiple locations for the same data, leading to duplication and wasted time.
• Inconsistent user experiences: Each application boasts a unique interface and search algorithm, creating a frustrating and inefficient experience.
• Generic search results: Search results lack personalization, making it time-consuming to find relevant information.
• Actionable insights gap: Even when information is found, employees often lack the ability to take immediate action.
• Siloed AI and agent experiences: Every team has their own tools and experiences, which does not allow for a company-wide approach.
• Security concerns: Privacy and data leakage risks arise from inadequate access control.

Employee's enterprise search challenge: Finding and using information

At the heart of this challenge lies the employee's inability to efficiently find and utilize information. Employees grapple with:

• Lack of centralized search: No single point of access to information across the enterprise.
• Inconsistent search experiences: Varying search functionalities across applications.
• Inability to act: Difficulty performing actions within the search interface.

This leads to a significant cost. Employee time is spent searching instead of producing. The problem spans across the organization, affecting both broad, enterprise-wide searches (e.g., HR policies) and specific, function-related searches (e.g., marketing campaign data). Moreover, enterprise search results often pale in comparison to the user-friendly experience of a Google search.

The solution to disconnected data is enterprise AI search

With tools like Google Cloud Agentspace, businesses can enable AI adoption across the entire organization. With Agentspace, businesses solve their immediate disconnected data problem by empowering enterprise search and AI agents.

• Integrate applications and data stores: Break down silos and create a unified information landscape.
• Provide a single interface: Simplify access and interaction with data.
• Automate repetitive tasks: Free employees from mundane work.
• Enable complex task automation: Streamline processes and improve efficiency.

Agentspace unifies employees’ enterprise search experience using AI

Google Cloud Agentspace leverages advanced machine learning algorithms to deliver intelligent and contextualized experiences.

Agentspace provides a single, integrated interface that connects to both first-party and third-party applications. Employees can search across multiple knowledge stores, enjoy a Google-like search experience, ask questions, receive relevant responses, and gain valuable insights. Agentspace addresses the core challenges of discoverability, usability, and search result quality.

Mitigate risk, embrace change management 

Businesses fear unknown changes, rather than embracing AI adoption and partnering for change management success 

While AI holds the potential to solve these problems, many companies hesitate, fearing unknown changes and struggling to achieve a positive return on investment (ROI).

Pythian's role in enterprise AI search

Pythian, leveraging its partnership with Google and the Agentspace platform, can provide tailored solutions to help organizations navigate the complexities of enterprise AI. We aim to help businesses unlock the true potential of AI, transforming operations to drive immediate impact with measurable results. 

By addressing the challenges of siloed data and disconnected applications, we can help enterprises move from the promise of AI to its practical reality. Draw on Pythian’s Google Cloud Agentspace QuickStart to get the guidance you need.