How to use Google’s new AI agents to go beyond your standard searches

Executive Summary

Google's recent advancements in AI-powered search agents represent a significant shift in how information is accessed and utilised. For private equity-backed companies, these developments offer tangible opportunities for operational efficiency, improved decision-making, and a strengthened competitive advantage, but only if the underlying data infrastructure is ready.

Introduction

The pace of innovation in artificial intelligence continues unabated, demanding that businesses stay ahead of the curve to maintain a competitive edge. The traditional "search and react" model of information gathering is evolving into a more proactive, agent-driven approach. Google's latest advancements in AI search agents highlight this transition, moving beyond simple keyword queries to a world of continuous, personalised information monitoring and synthesis. For PE-backed companies striving for margin expansion and operational efficiency, this shift presents both an opportunity and a challenge. The opportunity lies in harnessing these new tools to drive better, faster decisions. The challenge lies in ensuring the organisation has the skills and data infrastructure to leverage these AI capabilities effectively. Without a robust modern data stack and workforce AI training, these powerful new tools risk becoming expensive shelfware.

Key Developments

At its recent I/O conference, Google unveiled agentic capabilities within its Search platform, enabling users to create and customise AI agents to proactively track and summarise information across various topics. Here's a breakdown of the key advancements:

Continuous Information Monitoring

Unlike traditional search engines that respond only to explicit queries, these new AI agents operate continuously in the background, 24/7, providing real-time updates and insights on pre-defined areas of interest. This proactive approach can significantly reduce the time spent manually searching for and aggregating information, freeing up valuable employee time for more strategic tasks. The impact is particularly relevant for teams focused on competitive intelligence or tracking market trends.

Intelligent Information Synthesis

These agents go beyond simply delivering a list of links. They are designed to synthesise information from multiple sources, explain the significance of developments, compare different perspectives, and provide actionable insights. For example, an agent tracking a competitor could aggregate news articles, financial reports, and social media mentions to provide a concise overview of the competitor's strategic moves and potential vulnerabilities.

Personalised Alerts and Summaries

Users can specify the criteria for triggering alerts and customise the frequency of summaries, ensuring they receive only the most relevant information. This level of personalisation helps to cut through the noise and focus on the data that truly matters for decision-making.

Enhanced Search Interface

Google has also redesigned its Search interface to support longer, more conversational queries, allowing users to express their information needs in a more natural and intuitive way. This is complemented by an AI-powered query suggestion system that helps users refine their searches and discover relevant information they might not have otherwise found.

What This Means for PE-Backed Companies

These AI-powered search agents offer several concrete benefits for PE-backed companies:

• • Increased Workforce Productivity: By automating information gathering and synthesis, these agents can free up employees from repetitive tasks, allowing them to focus on higher-value activities. This translates to direct cost savings through increased workforce productivity and a reduced need for additional headcount. Consider a sales team that previously spent hours researching leads. With an AI agent monitoring industry news and identifying potential prospects, their efficiency could increase dramatically, accelerating revenue growth and improving deal conversion rates. This requires AI enablement programmes to teach staff how to use the new tools effectively.
• • Improved Decision-Making: Access to timely and synthesised information enables better-informed and faster decision-making. This can lead to improved operational efficiency, more effective resource allocation, and a stronger competitive advantage.
• • Reduced Risk: By proactively monitoring compliance requirements, regulatory changes, and industry trends, these agents can help companies mitigate risks and avoid costly penalties. Furthermore, reducing key-person dependency on a few subject matter experts by democratising access to information can significantly de-risk the business.
• • Enhanced Deal Value: For companies preparing for a sale, demonstrating the ability to leverage AI for operational efficiency and improved decision-making can significantly enhance their attractiveness to potential buyers, ultimately leading to a higher valuation.
• • Accelerated Time-to-Value: By automating information gathering and analysis, companies can quickly identify opportunities for improvement and implement changes, accelerating the time-to-value for new initiatives.

However, unlocking these benefits requires a solid foundation in data infrastructure and AI literacy. Companies need to invest in data transformation initiatives to ensure their data is clean, accessible, and properly structured for AI consumption. They also need to provide workforce AI training to equip their employees with the skills to effectively use and interpret the insights generated by these AI agents.

The Epoch AI Perspective

At Epoch AI Consulting, we understand that successful AI adoption requires a holistic approach that encompasses people, processes, and technology. The potential of Google's new AI agents will be fully realised only when built on a foundation of robust data architecture.

Our Data Transformation offering helps PE-backed companies modernise their data infrastructure, ensuring data quality, accessibility, and scalability. This includes AI engineering to build pipelines that ensure data is ready to be consumed by AI tools, analytics consultancy to ensure the business is asking the right questions, and data visualisation to present the insights in a clear and actionable way. It also includes ensuring a modern data stack.

Furthermore, our AI Enablement programme provides custom AI training material tailored to the specific needs of each business, including AI training for executives and AI upskilling for portfolio companies, with a focus on practical applications and measurable ROI. This ensures that employees at all levels are equipped with the AI skills development needed to effectively leverage these new tools. We create a custom AI training portal that delivers tailored training material across the AI services and tools a business actually uses.

Finally, our Bespoke Software Development team can build internal tools development that leverages AI agents to solve specific operational problems, such as AI sales tools that integrate with existing CRMs or project management tools that automatically summarise progress and identify potential risks.

The decision for PE-backed companies is this: are you going to build the modern data infrastructure and provide the custom AI training programme UK-wide to enable your workforce to extract every drop of value from these new AI tools? Or are you going to leave that value on the table for a more forward-thinking competitor to capture?

Conclusion

Google's advancements in AI-powered search agents represent a significant step forward in the evolution of information access and utilisation. For PE-backed companies, these developments offer a compelling opportunity to enhance operational efficiency, improve decision-making, and drive value creation. However, capitalising on this opportunity requires a strategic investment in data transformation, AI enablement, and potentially bespoke software development. As you prepare your portfolio companies for future success, ensuring they are equipped to leverage these new AI capabilities should be a top priority.

Source: How to use Google’s new AI agents to go beyond your standard searches