AI Agents at Scale: 5 Key Considerations & 27 Agentic Actions You Can Take Today

2–3 minutes

AI agents don’t operate in a vacuum. To truly scale their impact, organizations need a strategic approach—one that ensures accessibility, data integration, security, and governance.

At a recent event, Glean unveiled Glean Agents: The Horizontal Platform for Scaling AI Agents Across the Enterprise. Arvind Jain, Glean’s CEO, highlighted the five critical factors every business must consider when adopting AI agents.

5 Key Considerations for Choosing an AI Vendor

1️⃣ AI Agents Are for Everyone—Simplicity Matters

AI adoption shouldn’t be limited to technical teams. The best AI platforms make it easy for everyone—from sales reps to engineers—to build and use agents seamlessly.

2️⃣ A Horizontal Strategy Beats Data Silos

A successful AI platform leverages data across the entire organization, not just within individual departments. This eliminates silos and ensures a cohesive, enterprise-wide AI strategy.

3️⃣ Agents Are Only as Good as the Data They Access

For AI agents to be truly effective, they need comprehensive data access—unifying web, structured, and unstructured data into a single intelligent system.

4️⃣ Openness Matters: Securely Share Data Across Platforms

Managing security once and enabling secure data sharing is critical. The best AI vendors support integration with leading platforms like AWS Bedrock, Google Vertex, NVIDIA, and Databricks, ensuring flexibility without compromising security.

5️⃣ AI Governance and Security Must Be Built-In

With AI adoption comes the need for robust governance. Open security frameworks and governance partner programs help businesses scale AI safely and responsibly.

What Can AI Agents Do? 27 Real-World Actions

Glean’s customers have already executed over 50 million AI agent actions in the past year. Here are 27 ways businesses are using AI agents today:

✅ Sales & Customer Success

• Summarize product insights from thousands of calls

• Analyze historical sales data to determine the Ideal Customer Profile (ICP)

• Evaluate a lead and determine deal likelihood

• Resolve a support ticket

• Identify product blockers for deals

✅ Marketing & Product Management

• Generate slide copy for a marketing launch

• Build personalized ad copy variations

• Provide feedback on product UI from the perspective of the CEO

• Enhance product features based on insights

• Tailor a pitch to the customer

✅ Operations & HR

• Train 100s of new or seasonal support members

• Personalize coaching for every manager

• Assess financial risks and opportunities

• Review legal contracts

• Track market penetration

✅ Engineering & Research

• Run a code review

• Debug an error

• Brainstorm research hypotheses

• Analyze survey results

• Check product documentation for consistency

✅ General Productivity

• Provide actionable feedback from a meeting

• Write a postmortem

• Create a to-do list

• Conduct a daily catch-up

Real-World AI in Action: How Zillow Uses AI Agents

Zillow has successfully integrated AI agents to increase employee productivity, enabling teams to work smarter and faster. (See the full video in the comments for insights.)

AI isn’t just about automating tasks—it’s about augmenting human intelligence and helping teams focus on high-impact work.

The Future of AI Agents in the Enterprise

Glean’s approach highlights a fundamental shift: AI agents are no longer just individual tools; they are enterprise-wide solutions that drive efficiency and innovation.

As businesses evaluate AI vendors, choosing the right platform—one that is open, secure, scalable, and data-driven—is essential for success.

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