Enterprise AI content hub: guides & studies

Introducing Databricks in Glean Assistant: Make data-driven decisions right from where you work

Kelly Huang

Product Marketing Manager

Agent identity: Agents that act and appear as themselves

Enterprise knowledge graph cases: 7 applications that deliver ROI

Sales AI works better when it works with your stack

Building an efficient harness for advanced enterprise work

The enterprise AI copilot playbook for business leaders

What are the best AI tools for enterprises in 2026?

Stephanie Baladi

Content Marketing Manager

Glean AI Gateway: One control plane beneath every AI front door

What are digital assistants and how to choose the right one

Email automation: automated email campaigns, tools, and workflows

Introducing independent agents: AI coworkers securely built for autonomous, multiplayer work

Buyer’s guide: what to look for in an enterprise AI platform for token-efficient deployment

Your AI coworker in Slack with context across every system

AI has arrived at work. The organizational impact hasn't

Stephanie Baladi

Content Marketing Manager

Read now

Why we think Glean’s Market Shapers placement matters for the future of no-code agents

What Is No-Code Automation? Examples & Benefits

Trevor Gile

Agentic systems solutions architect

Beyond prompt engineering: the real drivers of token efficiency in enterprise AI

Glean named 2026 ISV AI Visionary Partner of the Year by Databricks

Leena Kamath

Head of Partner Marketing

How to get your CISO’s green light on AI agents

Sandy Tang

Product Marketing

Sunil Agrawal

Chief Security Officer

The new standard of enterprise content creation: Spreadsheets and refreshable interactive artifacts, grounded in enterprise context

The collaborative enterprise AI coworker with full meeting context and deep data analysis expertise

Glean meeting notes places AI in the room where work happens

Product Marketing Manager

Read now

AI Agents

Agent Orchestration

AI assistants vs AI agents: What works better?

How to build AI chatbots for enterprise teams with Glean

Stephanie Baladi

Content Marketing Manager

Glean MCP Gateway: The context AI needs to get to work

Technical Marketing Engineer

Generative AI for software engineers is more than code completion

Trevor Gile

Agentic systems solutions architect

Introducing Snowflake in Glean Assistant — and Why Glean Was Named 2026 AMER Snowflake Product Innovation Partner of the Year

Kelly Huang

Product Marketing Manager

Generative AI for software engineers: How to build the right AI stack

Trevor Gile

Agentic systems solutions architect

The 10 best AI voice assistants in 2026: A comprehensive guide

Trevor Gile

Agentic systems solutions architect

Health Agents: Designing a multi-agent platform for proactive health monitoring

Why Glean is the enterprise AI coworker for getting work done

Kelly Huang

Product Marketing Manager

AI tooling stack report for software engineers

Peter Kim

Content Marketing Manager

Read now

All Teams

Professional Services

AI Assistant

Knowledge Graphs

How AI is reshaping consulting firms, from proposal to post-delivery value

Jitendra Kavathekar

Global Head of Consulting Partnerships

Read now

APIs

Evaluations

Context makes the Coworker: Glean preferred ~2.5x as often as off-the-shelf MCP tools, which consumed 30% more tokens in Claude Cowork

Enable every agent to drive ROI with a robust agent development lifecycle

Connected AI for sales teams improves sales workflows

Beth Cananzi

Solutions Marketing Manager

Best AI tools for software engineers: how to build the right AI stack

Glean Skills know how your business works

Miribel Wu

Product Manager, Glean Agents

The enterprise AI coworker: Proactively manage tasks, execute multiple workstreams, and collaborate on your terms

Zane Homsi

Product Manager

Read now

Best AI copilot for the enterprise

The harness as the context manager

Glean Waldo: An agentic search model that pairs with LLMs to deliver frontier intelligence with ~50% lower latency and ~25% fewer tokens

Google Cloud Next 2026 recap: What matters now for enterprise AI

What are webhooks?

Why the AI stack for modern engineering teams requires both coding and context

Melissa Albanes

Product Marketing Manager

Execute work in Glean with MCP Apps in Assistant

Mira Khanna

Senior Product Marketing

Glean Assistant’s new slide and interactive page generation feature turns ideas into results

Charlie Boyden

Product Marketing Manager

Zane Homsi

Product Manager

Read now

Unlock faster insights by merging generative and predictive AI

Glean

Read now

7 essential guardrail decisions for deploying enterprise AI agents successfully

How to overcome unstructured data chaos with scalable governance

Glean

Read now

7 Core Components of an AI Agent Architecture Explained

Trace learning for self-improving agents

Technical Product Marketing Manager

Read now

All Teams

Financial Services

How private equity can turn AI pilots into portfolio value

Jay Philip

Partnerships and GTM Leader

Is MCP dead? When to use MCP for enterprise AI

Daniel Martinho

Technical Marketing Engineer

Read now

Enterprise Search

Knowledge Graphs

Knowledge graph vs vector database: how to choose your AI foundation

Top 5 no‑code automation tools in 2026 (and why you also need AI agents with context)

LLM choice in Assistant: A better agentic coworker sourcing deep proficiencies from your models of choice

Mira Khanna

Senior Product Marketing

How AI turns insights into action for today’s era of energy & utilities

Ameya Ganpule

Product Marketing Manager

How to Deploy AI Agents With Confidence: Introducing AWARE and New Glean Protect Capabilities

Sandy Tang

Product Marketing

Sunil Agrawal

Chief Security Officer

Allan Livingston

Product Lead, Enterprise

Sarika Mohapatra

Software Engineer

Read now

Introducing MCP in Glean: From connectivity to enterprise-ready actions

Context engineering AI: The foundation of reliable, high-performing models

Glean

Read now

8 AI agents to help software engineering teams ship and fix faster

Using AI to Administer AI: Meet Glean’s New Insights and Admin Chats

Why agents need sandboxes, not larger context windows

Technical Product Marketing Manager

Read now

Over 85 new actions enable you to get more done with better Agents

Glean Assistant closes the adoption gap with contextual AI, enabling true workforce transformation

Not all enterprise context is created equal: Glean results are preferred ~2× more than ChatGPT and 1.6× more than Claude

Glean skills: A new way to package and reuse enterprise expertise

Abhilash Samantapudi

Product Manager

Matt Ding

Technical Product Marketing Manager

The emerging agent architecture

How do you build a context graph?

The human side of Work AI: building a learning loop at Nextdoor

Shweta Puri

Marketing Technology and AI Operations Lead @ Nextdoor

Designing Glean for accessibility – design system and compliance

7 AI agents for marketing teams

Matt Kixmoeller

Chief Marketing Officer

Spend less time searching and more time building with Glean code search and code writer

Introducing Assistant updates: Search in Chat, autocomplete, and image generation

Mira Khanna

Senior Product Marketing

How to prepare for sales calls in 2026

Stephanie Baladi

Content Marketing Manager

Context is the next data platform—and why context graphs are key to understanding processes

Glean and Vercel: Supercharging v0 with enterprise context

10 Predictions That Will Set the Enterprise AI Agenda in 2026

Learning, building, and growing together in the Gleaniverse

Trevor Gile

Agentic systems solutions architect

The enterprise CIO's definitive guide to selecting AI‑driven collaboration software

The new playbook for sales productivity starts with agents

Glean Autonomous Agents: Self-evaluating with the context and security you need to automate at scale

Shifting the work of context engineering to the AI platform

Glean surpasses $200M ARR as enterprises operationalize AI

10 AI‑powered collaboration platforms every enterprise should evaluate

2025 search tool benchmark: key metrics to evaluate accuracy and speed

The definitive guide to enterprise search solutions for modern HR departments

5 metrics to measure AI-generated answers' decision-making impact

How to choose best AI agent builder in 2025

Glean

Read now

There are no blog posts for this combination of filters, Try a broader search!

Content Hub

Browse all resources.

Blog

The intelligence era is here: 5 reasons to attend Glean:GO 2026

Australia moved fast on AI. The systems around it haven’t kept pace.

The UK’s AI policies are stronger than its verification habits

Agent orchestration platforms compared

What organizations closing the AI impact gap do differently

Best Coveo alternatives for workplace enterprise search

The hidden work of making AI usable

Enterprise context starts with indexing, but it doesn’t end there

What enterprise voice demands of your tool stack

How to optimize token efficiency in agentic systems

Introducing Databricks in Glean Assistant: Make data-driven decisions right from where you work

Agent identity: Agents that act and appear as themselves

Enterprise knowledge graph cases: 7 applications that deliver ROI

Sales AI works better when it works with your stack

Building an efficient harness for advanced enterprise work

The enterprise AI copilot playbook for business leaders

What are the best AI tools for enterprises in 2026?

Glean AI Gateway: One control plane beneath every AI front door

What are digital assistants and how to choose the right one

Email automation: automated email campaigns, tools, and workflows

Introducing independent agents: AI coworkers securely built for autonomous, multiplayer work

Buyer’s guide: what to look for in an enterprise AI platform for token-efficient deployment

Your AI coworker in Slack with context across every system

AI has arrived at work. The organizational impact hasn't

Why we think Glean’s Market Shapers placement matters for the future of no-code agents

What Is No-Code Automation? Examples & Benefits

Beyond prompt engineering: the real drivers of token efficiency in enterprise AI

Glean named 2026 ISV AI Visionary Partner of the Year by Databricks

How to get your CISO’s green light on AI agents

The new standard of enterprise content creation: Spreadsheets and refreshable interactive artifacts, grounded in enterprise context

The collaborative enterprise AI coworker with full meeting context and deep data analysis expertise

Glean meeting notes places AI in the room where work happens

AI assistants vs AI agents: What works better?

How to build AI chatbots for enterprise teams with Glean

Glean MCP Gateway: The context AI needs to get to work

Generative AI for software engineers is more than code completion

Introducing Snowflake in Glean Assistant — and Why Glean Was Named 2026 AMER Snowflake Product Innovation Partner of the Year

Generative AI for software engineers: How to build the right AI stack

The 10 best AI voice assistants in 2026: A comprehensive guide

Health Agents: Designing a multi-agent platform for proactive health monitoring

Why Glean is the enterprise AI coworker for getting work done

AI tooling stack report for software engineers

How AI is reshaping consulting firms, from proposal to post-delivery value

Context makes the Coworker: Glean preferred ~2.5x as often as off-the-shelf MCP tools, which consumed 30% more tokens in Claude Cowork

Enable every agent to drive ROI with a robust agent development lifecycle

Connected AI for sales teams improves sales workflows

Best AI tools for software engineers: how to build the right AI stack

Glean Skills know how your business works

The enterprise AI coworker: Proactively manage tasks, execute multiple workstreams, and collaborate on your terms

Best AI copilot for the enterprise

The harness as the context manager

Glean Waldo: An agentic search model that pairs with LLMs to deliver frontier intelligence with ~50% lower latency and ~25% fewer tokens

Google Cloud Next 2026 recap: What matters now for enterprise AI

What are webhooks?

Why the AI stack for modern engineering teams requires both coding and context

Execute work in Glean with MCP Apps in Assistant

Glean Assistant’s new slide and interactive page generation feature turns ideas into results

Unlock faster insights by merging generative and predictive AI

7 essential guardrail decisions for deploying enterprise AI agents successfully

How to overcome unstructured data chaos with scalable governance

7 Core Components of an AI Agent Architecture Explained

Trace learning for self-improving agents

How private equity can turn AI pilots into portfolio value

Is MCP dead? When to use MCP for enterprise AI

Knowledge graph vs vector database: how to choose your AI foundation

Top 5 no‑code automation tools in 2026 (and why you also need AI agents with context)

LLM choice in Assistant: A better agentic coworker sourcing deep proficiencies from your models of choice

How AI turns insights into action for today’s era of energy & utilities

How to Deploy AI Agents With Confidence: Introducing AWARE and New Glean Protect Capabilities

Introducing MCP in Glean: From connectivity to enterprise-ready actions

Context engineering AI: The foundation of reliable, high-performing models

8 AI agents to help software engineering teams ship and fix faster

Using AI to Administer AI: Meet Glean’s New Insights and Admin Chats

Why agents need sandboxes, not larger context windows

Over 85 new actions enable you to get more done with better Agents

Glean Assistant closes the adoption gap with contextual AI, enabling true workforce transformation

Not all enterprise context is created equal: Glean results are preferred ~2× more than ChatGPT and 1.6× more than Claude