Traditional automation and basic chatbots are no longer enough to keep up with enterprise speed. By 2028, 33% of enterprise software applications will include agentic AI—enabling 15% of day-to-day business decisions to be made autonomously.
Unlike static tools, AI agents understand institutional knowledge, connect across disparate systems, and execute complex workflows independently under human guidance.
This practical guide by Google Cloud and Brilyant breaks down 10 actionable ways to deploy AI agents across your organization to save time, eliminate friction, and drive value.
10 Practical AI Agent Use Cases Explored Inside:
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Multimodal Enterprise Search: Instantly query files across Google Drive, Gmail, Salesforce, and HR systems using Google Agentspace.
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Document-to-Audio Summaries: Turn dense financial reports, research papers, and market data into audio podcasts using NotebookLM.
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Rapid Multi-Agent Ideation: Generate, score, and rank 1,000+ strategic product concepts in minutes.
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Deep Market Research: Execute complex web and enterprise research plans with single-prompt intelligence.
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Personalized Customer Care: Scale multi-agent support across channels while empowering live reps with real-time coaching.
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Targeted Marketing Campaigns: Analyze customer behavior data to plan, draft, and optimize personalized campaign content.
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Accelerated Sales Cycles: Monitor prospect queries and eliminate CRM admin tasks to keep reps focused on closing deals.
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Code Debugging & Optimization: Automatically analyze logs, detect bottlenecks, and synthesize bug reports directly in developer IDEs.
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Streamlined HR Onboarding: Automate contract routing, tax documentation, and IT provisioning for new hires.
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No-Code Custom Agent Building: Empower every employee to build bespoke workflow agents using simple chat-based interfaces.
Stop letting routine admin work bottleneck your workforce. Download the handbook and start building your AI agent strategy with Brilyant today.
Download the AI Agent Handbook today!
