Julie Mills

PMM

, Glean

About

Julie Mills

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Julie Mills

July 23, 2026

How to optimize token efficiency in agentic systems

Learn how to reduce token usage in agentic systems with better retrieval, structured memory, routing, and loop control without hurting answer quality.

Julie Mills

PMM

July 8, 2026

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

Glean AI Gateway gives enterprises one governed layer beneath every AI front door, centralizing model access, MCP tool execution, observability, and policy so teams can control spend, enforce consistent security, and give every AI surface shared enterprise context.

Rahul Dey

Product Manager

Kiran Bondalapati

Software Engineer

Julie Mills

PMM

June 30, 2026

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

What to look for in an enterprise AI platform for token-efficient deployment — retrieval precision, model routing, orchestration, governance, and cost control.

Julie Mills

PMM

June 19, 2026

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

Prompt trimming helps, but retrieval drives real token efficiency. Learn how better context selection and orchestration improve cost, speed, and quality.

Julie Mills

PMM

February 18, 2026

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

With 85+ new actions across key applications, Agents are ready to take on and automate more tasks than ever.

Julie Mills

PMM

Roshan Dheram

Product Manager

February 9, 2026

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

Glean supports skills, an open standard, so that you can create personal skills or share them company-wide, turning your expertise into reusable standards for getting work done.

Abhilash Samantapudi

Product Manager

Matt Ding

Technical Product Marketing Manager

Julie Mills

PMM

February 5, 2026

How do you build a context graph?

Technical guide to building context graphs with connectors, knowledge graphs, personal graphs, anonymized traces, and agent feedback loops.

David Huynh

Software Engineer

Pradeep Vaghela

Software Engineer

Julie Mills

PMM

November 17, 2025

Glean integrates with Microsoft Agent 365, bringing enterprise context to Microsoft Word, Outlook, and Teams

Glean is deepening its integrations with the Microsoft ecosystem, enabling you to access enterprise context within the Microsoft applications you love most and action workflows right from everywhere you work.

Harshi Murthy

Product Manager

Travis Hoover

Software Engineer

Julie Mills

PMM

October 1, 2025

Glean joins the Slack Marketplace, making it easy to get all your enterprise context in Slack—and bring your Slack data into Glean

Glean is excited to be an official application in the Slack Marketplace so enterprises can access trusted, permission‑aware data right where they chat - in Slack.

Rahul Dey

Product Manager

Julie Mills

PMM

Mira Khanna

Senior Product Marketing

September 5, 2025

AI is its own best safeguard: Glean uses AI to detect jailbreak attempts at 97.8% accuracy

Glean’s industry-leading detection models and multi-layered approach to AI security keep enterprises safe amidst evolving threats.

Sarika Mohapatra

Software Engineer

Sunil Agrawal

Chief Security Officer

Julie Mills

PMM

September 4, 2025

Glean's MCP servers bring full company context to where your AI runs

Glean’s MCP servers ground any AI tool with the full context of your enterprise, along with your permissions and security guidelines.

Steve Calvert

Software Engineer

Julie Mills

PMM

June 27, 2025

How knowledge graphs work and why they are the key to context for enterprise AI

Knowledge graphs excel at multi-hop reasoning, enterprise-specific language, and understanding process or usage patterns, laying the foundation for agentic reasoning engines.

Rob Stets

Software Engineer

Pradeep Vaghela

Software Engineer

Julie Mills

PMM

June 12, 2025

Is MCP + federated search killing the index?

New connectors from OpenAI, Google Agentspace, and open protocols like MCP, federated search is having a resurgence. Do LLMs still need indexes—or has federated search made them obsolete?

James Simonsen

Engineering

Julie Mills

PMM

March 20, 2025

So, your AI vendor is building enterprise connectors — here are 9 questions to differentiate real enterprise AI systems

Data connectors are essential to the quality and security of enterprise AI, but they're not all built the same. Here are 9 questions you should consider before selecting the right AI vendor.

James Simonsen

Engineering

Julie Mills

PMM

Julie Mills

About

Julie Mills

Connect with

Julie Mills

Recent posts from

Julie Mills

How to optimize token efficiency in agentic systems

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

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

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

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

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

How do you build a context graph?

Glean integrates with Microsoft Agent 365, bringing enterprise context to Microsoft Word, Outlook, and Teams

Glean joins the Slack Marketplace, making it easy to get all your enterprise context in Slack—and bring your Slack data into Glean

AI is its own best safeguard: Glean uses AI to detect jailbreak attempts at 97.8% accuracy

Glean's MCP servers bring full company context to where your AI runs

How knowledge graphs work and why they are the key to context for enterprise AI

Is MCP + federated search killing the index?

So, your AI vendor is building enterprise connectors — here are 9 questions to differentiate real enterprise AI systems