Glean:GO 2026

Name: Glean:GO 2026
Start: 2026-08-26
End: 2026-08-27

Fort Mason, SF, CA
August 26-27

Why attend

Elevate your AI expertise

The AI problems of yesterday are already behind you — the real challenges are just ahead. At Glean:GO, we'll give you an unfair advantage: the architecture, insights, strategies, and technical skills you need to power the next generation of AI in your enterprise. This isn't another AI conference — it's your blueprint for what comes next.

Keynote Presentations

Insights from Glean and industry experts shaping knowledge discovery and agentic productivity.

Deep-Dive Sessions

Dive into advanced strategies and tools transforming knowledge management and enterprise AI adoption.

Trainings

Professionals looking to uplevel their Glean expertise through live training for admins, builders and new users, launching at this event.

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Use this ready-to-send email to make the case for attending Glean:GO 2026.

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Speakers

Arvind Jain

CEO, Glean

Alex Elsayegh

Senior Innovation Engineer, McCarthy

Amelia Lerutte

Chief AI Officer, SaaStr

Anne Hoecker

Global Lead of Technology, Media and Telecom, Bain

Anne Wingate

Senior Product Manager, Enterprise Technology, Zillow

Anthony Gatto

Senior Application Engineer, Zillow

Ashish Verma

US Chief Data and Analytics Officer, Deloitte

Brandon Berg

Strategic Program Director, Infoblox

Brandon Sammut

CAIO, Zapier

Brian Elliott

CEO, Work Forward

Connor Bogin

Director of AI Product Deployment and Management, Dell

Etienne Grass

Global Chief AI Officer, CapGemini

Evan Spiegel Virtual

Co-Founder and CEO, Snap Inc.
‍

Jeetu Patel

President, Cisco

Joel Nygards

Chief Data Officer and Head of AI, Ericsson

Jonathan Goldberg

VP, Enterprise AI, Howard Hughes

Kari Briski

VP, Generative AI Software Products, NVIDIA

Kelly Waldher

CMO, Palo Alto Networks

Maciej Szymaszek

Head of Strategy and Innovation, AstraZeneca

Maddie Engelmeier

Senior Manager, Business Technology & AI Platforms, Motive

Madhu Narasimhan

CIO, DaVita

Manu Narayan

CIO, GitLab

Mark Cruz

Senior Technical Program Manager, LinkedIn

Nikhil Sandilya

Director, AI, GM
‍

Philip Luedtke

Executive Director, Core IT, GM

Phu Nguyen

Director of AI, Everpure

Prasad Setty

CEO/CHRO Advisor, Former VP, People Ops at Google

Steve Cahill

Head of Enterprise AI, Udemy

Tim Glomb

VP Content, Digital, and Operational AI Transformation, Wunderkind

Vladislav Tsapko

VP, Business AI & Operations, Insurity

Yuyan Sun

Head of People Analytics and Technology, Motive

Agenda

August 26

9:00 AM — 10:30 AM

Keynote

11:00 AM — 11:50 AM

12 sessions

Five AI agent security assumptions we're putting to the test

Admin

Permissions-aware means secure. Read-only agents are low risk. Audit logs are enough. Governance slows adoption. You've heard these takes in every meeting, every Slack thread, every vendor pitch. But are they true? In this fast-paced session, we'll take on the most common security assumptions about AI agents and put them to the test. For each myth, we'll walk through a real scenario, show you where the assumption holds up or falls apart, and land on the practical takeaway. This isn't about fear. It's about replacing gut feelings with evidence so your team can move fast without fooling itself about what's actually safe.

Support Spotlight: From pain point to blueprint

Builder

Bring your most painful Support workflow and leave with a plan to build. In this interactive session, attendees will hear from Glean customers & Support leaders as they share their experiences and lessons learned from tackling real-world challenges with Glean. After a demo, attendees will join a guided working session with Glean experts to surface their biggest pain points and anchor them in clear jobs-to-be-done. By the end of the session, attendees will have worked through a high-friction Support workflow and built a blueprint to address it.

Under the hood: Pushing agent development to its limits

Builder

Scaling trust: How Coinbase leverages Glean to work for their high net-worth customers

Outcomes

Join this session for a practical look at Coinbase's journey with Glean, from the pain points and early use cases that shaped the rollout to the philosophy, implementation approach, enablement strategy, and end-to-end architecture behind it. You’ll hear how their teams are driving value across the full employee base, building custom solutions on top of Glean, and improving stickiness and retention across their customer base.

How to define and tell the story of AI ROI

Outcomes

How do you turn AI value into an ROI story that executives actually trust? In this breakout session, you’ll learn how to define ROI in plain language for executives, finance, and business stakeholders, identify the KPIs that matter at every altitude—from employee to team, department, and company—and connect AI investments to clear baselines, realistic targets, and credible business narratives. We’ll also explore how to balance spend, time-to-value, and long-term strategic capability building so you can move beyond vague productivity claims and make a compelling, practical case for AI that resonates with leadership.

Inside AI Transformation: Infoblox - From experimentation to scaled adoption

Outcomes

Most companies do not have an AI problem. They have a sprawl problem. In this session, Brandon Berg will share how Infoblox used Glean as a common foundation for enterprise AI, giving teams one place to build instead of chasing disconnected tools and one-off solutions across the business. He’ll walk through Infoblox’s next challenge: moving from a tightly managed agent environment to a more open model that still preserves governance, visibility, and quality.

The session will cover what changes when leaders stop asking whether people are using AI and start asking whether teams are duplicating work, building the same thing in parallel, and wasting time and tokens reinventing agents that already exist. Brandon will also make the case for a more practical enablement model: less obsession with formal champions, more focus on “listeners” who can surface what is actually working across the organization and help operationalize it at scale.

Attendees will leave with a clearer view of what AI maturity looks like after the pilot phase, and how to balance openness, standardization, and token efficiency as adoption scales.

Inside AI Transformation: General Motors: Driving adoption from 0 to 80K users in 90 Days

Outcomes

When General Motors' CEO issued a company-wide mandate to reduce operating expenses by 30% through AI, the question wasn't whether to move — it was how to do it across 145,000 employees spanning corporate teams, engineering, and plant workers. In this session, you'll hear how GM approached one of the most ambitious enterprise AI deployments in the industry: starting with a rigorous 6-month proof of concept across 28 business functions, and selecting Glean as the core AI platform to make it happen. GM's story is a masterclass in how to build a business case, run a high-stakes evaluation, and execute at enterprise scale.

Understanding Glean Enterprise Context: Features and roadmap

Product

Glean's ability to deliver personalized, proactive experiences starts with understanding your organization, its people, content, and workflows. This session dives into the Enterprise Context layer, the foundation that includes Glean's enterprise and personal graphs and indexing capabilities. We'll walk through the latest advancements in how Glean captures and models organizational knowledge, workflow logic, and individual work patterns, and show you how that context enables Glean to surface the right information and actions at the right moment, often before users even have to ask.

Frontier vs. open source models: How market shifts impact enterprise model strategy

AI Strategy

Frontier models continue to raise the bar for what AI can do. At the same time, open source and specialized models are becoming more affordable and closing the quality gap faster than most enterprises realize. As the model landscape rapidly evolves and converges, enterprises need to build for both scale and adaptability. In this session, our panelists will share their perspectives on where the model landscape is headed and where durable advantage will actually lie.

Inside AI Transformation: How Canva is driving AI transformation in a human-centric way

Outcomes

Anyone can get employees access to AI tools. Far fewer know how to transform access into lasting habits, real workflow change, and better judgment over time. In this session, Canva shares how its AI strategy matured from early rollout and employee enablement into a more disciplined model for scaled adoption. You’ll hear how Canva expanded beyond a single-tool approach, built an internal adoption system around access and learning, supported different types of users as needs became more sophisticated, and began shifting from “AI everywhere” to using AI in the right places for the right reasons. The session will also explore a harder question many leaders are just beginning to face: how do you scale AI use without weakening critical thinking, work quality, or trust?

From Internal Glean success to joint AI outcomes with Databricks

Outcomes

When Databricks first brought on Glean, the goal was to help their 10,000+ employees spend less time searching across enterprise context and more time moving work forward. As teams worked across systems, tools, and internal knowledge, Glean became the front door for finding trusted answers, understanding context, and getting to the right information faster.In this session, Databricks will share how that internal success became the foundation for a broader partnership with Glean. Together, Databricks and Glean will show two ways joint customers can put that partnership to work: using Genie in Glean Assistant to ask questions of governed data in a familiar experience, and using Glean MCP in Agent Bricks to build agents that reason over enterprise knowledge with richer context. Attendees will leave with a practical view of real use cases, adoption lessons, and how connecting enterprise knowledge with governed data can drive better AI outcomes.

Glean Agents deep dive: Building, governing and deploying AI coworkers

Product

Learn about all of the new developments in Glean Agents that will unlock productivity across teams, including new features for agent builders and admins. Through real departmental examples, you’ll see how Glean is making agents more powerful, more practical, and more ready for enterprise-wide use.

12:00 PM — 12:50 PM

12 sessions

Five AI agent security assumptions we're putting to the test

Admin

Support Spotlight: From pain point to blueprint

Builder

Under the hood: Pushing agent development to its limits

Builder

Scaling Trust: How Coinbase leverages Glean to work for their high net-worth customers

Outcomes

How to define and tell the story of AI ROI

Outcomes

Inside AI Transformation: Infoblox - From experimentation to scaled adoption

Outcomes

How Zillow enabled builders to scale complex workflows with Glean

Outcomes

How do you move from AI experimentation to becoming a truly AI-first organization? In this presentation, Zillow's Anne Wingate and Anthony Gatto will share how the company has gone far beyond Glean out of the box by building custom solutions and connectors, enabling technical teams with MCP, and scaling adoption with the right governance. Attendees will hear practical use cases across support, HR, and IT, including how Zillow has made Glean a more technical front door for employees while reducing effort across internal teams. This session will offer a candid playbook for other technology organizations looking to deepen their AI strategy, empower technical audiences, and roll out AI at scale.

Understanding Glean Enterprise Context: Features and roadmap

Product

Frontier vs. open source models: How market shifts impact enterprise model strategy

AI Strategy

Inside AI Transformation: How Canva is driving aI transformation in a human-centric way

Outcomes

Customer strategies for AI deployment at scale

Outcomes

AI success doesn’t come from launching a pilot. It comes from deploying AI in ways employees actually trust, adopt, and use to drive measurable business outcomes. In this customer panel, leaders across industries will share how they moved from early experimentation to real-world deployment, including how they chose the right use cases, addressed governance and security requirements, drove change management, and proved value after launch. Attendees will leave with practical lessons for turning AI from a promising pilot into a scaled, repeatable part of how work gets done.

Glean Agents deep dive: Building, governing and deploying AI coworkers

Product

1:00 PM — 1:50 PM

11 sessions

Glean Admins: Shared lessons, better outcomes

Admin

We're getting out of the way for this one. There's a ton of shared knowledge in this room, and this session is designed to put it to use. After a quick round of introductions, you'll break into small group discussions around the topics that come up in every admin's life: getting new admins onboarded and up to speed, building a playbook for connector rollouts, monitoring platform health, tracking usage and adoption, figuring out which metrics actually matter, balancing AI enablement with governance, managing AI costs, and getting employees bought in. No slides, no demos, just honest conversation with the people doing the same work you are.

Engineering Spotlight: From pain point to blueprint

Builder

Bring your most painful Engineering workflow and leave with a plan to build. In this interactive session, attendees will hear from Glean customers & Engineering leaders as they share their experiences and lessons learned from tackling real-world challenges with Glean. After a demo, attendees will join a guided working session with Glean experts to surface their biggest pain points and anchor them in clear jobs-to-be-done. By the end of the session, attendees will have worked through a high-friction Engineering workflow and built a blueprint to address it.

Under the hood: Emerging open standards for the AI ecosystem

Builder

The AI ecosystem is converging on a shared set of open standards and primitives faster than most teams can keep up. MCP is becoming the interoperability layer, and tools, skills, and agent protocols like A2A are now shared across platforms. In this panel, ecosystem partners dig into the architectures emerging as a result. It's an engineering-level conversation about the technical foundations taking shape across the AI ecosystem.

Inside the Agent Development Lifecycle

Builder

Inside AI Transformation: Dell - Scaling change management

Outcomes

Rolling out AI is the easy part. Getting people to change how they work is the real challenge. In this session, Connor Bogin will share how Dell built a repeatable operating model for AI adoption: clear goals, leadership expectations, manager visibility, self-serve usage tracking, hands-on workshops, and a Black Belt champion network that made the rollout relevant at the team level. The result was not a one-time launch spike, but sustained usage and measurable behavior change, with Dell users leveraging AI dozens of times per week and the team tying adoption to outcomes like pipeline and attainment. You’ll leave with a practical model for turning AI access into accountability, adoption, and business value across a large, complex organization.

Inside AI transformation: Motive - From AI hype to AI habit

Outcomes

When Motive rolled out Glean to 4,000 employees in just six weeks, the hard part wasn't the launch — it was what came next. In this session, Motive's Maddie Engelmeier shares the real story of sustaining AI adoption after the initial excitement fades: how they made Glean the "first stop" for everything, rebuilt momentum with overlooked teams like engineering and product, and embedded AI into daily workflows as a core operational habit — not a novelty. You'll hear how Motive is measuring what matters, including KPI analysis comparing high vs. low Glean adopters against real business metrics like revenue growth and engineering velocity. From a monthly AI Lab and agent showcases to a multi-part enablement series with before/after sentiment surveys, this session offers a practical playbook for turning a platform rollout into lasting organizational change.

Escape pilot purgatory with Tim Glomb: A practical playbook for AI momentum

Outcomes

What does it actually take to turn an AI pilot into real business momentum without getting stuck in pilot purgatory? In this session, we’ll share a practical approach for moving from early experimentation to measurable impact, including how to choose the right use cases, assign clear owners, define proof of value, and build the internal credibility needed to scale. We’ll also cover how leaders should sequence the fundamentals like workflows, governance, literacy, and platform readiness, what to prioritize first, and how to set explicit kill-or-scale gates early so teams can make confident decisions and create a repeatable path to transformation. Learn from Tim Glomb, a 20+ year operator, marketer, and AI transformation leader who specializes in transforming how businesses work.

Inside AI Transformation: Howard Hughes - from pilot to process transformation

Outcomes

Howard Hughes Holdings is one of the nation's leading real estate development and management companies — and they've set an ambitious target: reduce G&A expenses by 50% by the end of 2026 through AI-driven efficiency. In this session, we share how Howard Hughes got there, starting with a focused 100-user pilot, building early wins around core knowledge management and workflow automation, and ultimately earning a CFO mandate to deploy Glean wall-to-wall across the entire company. You'll hear what use cases drove early credibility, how the team scaled from pilot to enterprise rollout, and what it took to build the internal conviction to go all in — including the agents, integrations, and operational changes that made the difference between a successful experiment and a real transformation.

Understanding Glean Enterprise Context: Features and roadmap

Product

When vendor security lags: How enterprises can adopt AI responsibly

AI Strategy

AI is a race for speed, and many vendors are prioritizing time to market above all else. In too many cases, security and governance come later—if they come at all. Meanwhile, enterprises are being pressured to adopt these tools without fully understanding the risks, or are knowingly accepting them in order to unlock AI across the organization. This is a conversation about how to manage risk without slowing innovation, and about where enterprise security is headed in a world where vendor security is too often an afterthought.

The borders of AI: The value of understanding where AI breaks

AI Strategy

Most AI talks are highlight reels. This one isn’t. We’re going to walk to the edge of what today’s AI can actually do and show you exactly where and why it breaks down. Writing that sounds competent but says nothing. Analysis that looks rigorous but is quietly wrong. Long tasks where small errors snowball into nonsense.

Understanding where AI fails isn’t pessimism. It’s one of the most valuable things you can know because it shows you where to keep a human in the loop, where to add verification, and where human judgment matters most.

You’ll leave with a clearer sense of AI’s edges so you can train your employees on how to look for them and apply additional judgement when needed and build systems that are honest about their limits instead of confidently wrong.

2:00 PM — 2:50 PM

11 sessions

Glean Admins: Shared Lessons, Better Outcomes

Admin

Engineering Spotlight: From pain point to blueprint

Builder

Under the hood: Emerging open standards for the AI ecosystem

Builder

Inside the Agent Development Lifecycle

Builder

Inside AI Transformation: Dell - Scaling change management

Outcomes

Inside AI transformation: Motive - From AI hype to AI habit

Outcomes

Escape pilot purgatory with Tim Glomb: A practical playbook for AI momentum

Outcomes

Inside AI Transformation: Howard Hughes - from pilot to process transformation

Outcomes

When vendor security lags: How enterprises can adopt AI responsibly

AI Strategy

The borders of AI: The value of understanding where AI breaks

AI Strategy

Customer strategies for AI deployment at scale

Outcomes

3:30 PM — 4:30 PM

Keynote

August 27

9:00 AM — 10:30 AM

Keynote

11:00 AM — 11:50 AM

11 sessions

Guardrails in action: A hands-on workshop with Glean Protect

Admin

AI security doesn't have to be hard. In this hands-on workshop, you'll design and implement guardrails from the ground up. We'll walk through scoping an agent, identifying its real risk surface, and writing policies that match. Along the way, you'll pick up the best practices that matter most: how to define your organization's risk boundaries, how to test before you deploy, and how to maintain guardrails as your agents evolve. If your team is building AI agents, this is the session that closes the loop on security.

Under the hood: How context powers proactive AI

Builder

The best AI experience isn't the one that answers your question. It's the one that knows what you need before you ask. In this session, we'll dig into how Glean uses context to deliver proactive, personalized AI experiences, surfacing the right information, the right action, or the right nudge at the right moment. We'll walk through the technical foundations that make this possible: how we model what you're working on, what signals we use, and how we determine what's relevant right now vs. what's noise. When the system already understands your context, it can anticipate, prepare, and act. We'll show where this is today, where it's going, and what it means for how your organization works with AI.

Under the hood: Customer developer stories building with the Glean platform

Builder

In this panel, customers who have built and deployed on Glean's APIs walk through what they shipped, the architecture behind it, and the technical decisions that shaped each build. Each panelist will show their working product live, then digs into the details: which APIs they used and why, how they handled auth and permissioning, how they structured calls to retrieval and actions, what they built themselves versus what the platform gave them, and where they ran into limits. It's an engineering-level conversation about what it actually takes to go from Glean's API docs to a production deployment.

How tokenomics ate the world

Outcomes

AI spend is rising fast, but most enterprises still cannot answer the most important question: is that spend actually producing better outcomes? As AI shifts from simple question answering to multi-step agentic work, costs balloon for reasons that go well beyond model pricing alone: too much context, too many tool calls, too many reasoning loops, and too little discipline around using the right model for the right task. This session explores why enterprise AI economics are breaking down, and what leaders need to change to regain control. We’ll unpack tokenomics as both a consumption problem and a yield problem: not just how many tokens you use, but how much business value you create per token. Attendees will learn how leading teams evaluate the tradeoff between model performance, cost, and business impact; decide when premium models are actually warranted; and design architectures that improve efficiency without compromising quality. The session will also show how to communicate these decisions to executives in the language that matters most: measurable outcomes, operational efficiency, and ROI.

Do more with Glean: You have the data. Now what?

Outcomes

Every organization is drowning in data. The problem isn't access — it's the gap between having findings and making them land with an audience that needs to act on them. In this hands-on workshop, you'll learn a repeatable workflow for using Glean to move from raw context to polished output: synthesizing findings across your enterprise systems, structuring a clear narrative, and generating the artifact — presentation, dashboard, infographic, or interactive report — that makes the story stick. You'll leave with a method you can use the next day, not just an idea. Because the analysis only matters if someone acts on it.

Understanding Glean's Intelligence layer: Features and roadmap

Product

What makes enterprise AI truly intelligent isn't just model quality. It's whether the system routes each task to the right model at the right reasoning level, avoids burning premium tokens for everyday tasks, and learns to repeat success without expensive re-exploration. This session explores how Glean is building that intelligence layer. We'll cover how a model-agnostic harness gives enterprises access to leading frontier models while using specialized, task-optimized models and intelligent routing to deliver frontier-level outcomes at a fraction of the token cost. From there, we'll show how enterprise intelligence compounds over time: skills that package your company's know-how into reusable playbooks, context that tailors AI to your work processes, and continuous learning that captures what works and makes it repeatable. The way you use Glean compounds, reflecting how your teams actually think and operate.

Understanding Glean Protect: Features and roadmap

Product

Glean for individual productivity: Features and roadmap

Product

See Glean’s newest innovations that turn individual productivity into consistent impact. With Glean, all work is grounded in employee and company data, helping your employees make better decisions, move faster, and produce higher-quality deliverables with less rework. In this session, we’ll highlight and demo the features that help users stay ahead of their work, create stronger output more efficiently, and move tasks forward across the tools they already use.

Glean as a company-wide AI platform: Features and roadmap

Product

Glean is more than an app you log into. It's a platform you can build your whole company's AI on. This session goes deep on the platform layer: the API, the SDKs, embedded experiences, the LLM gateway, and the MCP gateway that connects Glean to the wider AI ecosystem. We'll show what's available today, what's changed recently, and where each piece is headed, with more detail than the main stage has room for. If you're deciding how to standardize AI across your company, this is the session that connects the building blocks to the roadmap.

Choosing your AI front door: Where to standardize and where to stay flexible

AI Strategy

Every vendor wants to be the front door to AI for your employees, whether that’s the IDE, chat app, your legacy productivity suite, or the newest AI on the market. But in a market defined by constant innovation, the choices you make today may not be best-in-class tomorrow. At the same time, you need your systems to work together and your AI strategy to stay coherent, sustainable, and scalable.

This session maps the landscape, explores which tools are likely to win, and outlines how to build a scalable long-term approach. You’ll leave with a clearer understanding of the tradeoffs behind different AI front door approaches and a defensible point of view on where to standardize and where to stay flexible.

How AI is really reshaping work: Which jobs are changing and why

AI Strategy

Headlines about AI have swung between two extremes – it’s coming for your job, or it’s here to augment it. In this session, leading experts will bring data and research that examines which roles are being reshaped rather than eliminated, and why the companies seeing the greatest gains are redesigning work instead of simply layering on new tools. We’ll also address the harder truths directly, because credibility with your workforce disappears the moment you pretend the tradeoffs aren’t real.

12:00 PM — 12:50 PM

11 sessions

Guardrails in action: A hands-on workshop with Glean Protect

Admin

Under the hood: How context powers proactive AI

Builder

Under the hood: Customer developer stories building with the Glean platform

Builder

How tokenomics ate the world

Outcomes

Do more with Glean: Turn open items into finished work

Outcomes

Modern work is buried in email threads, chat messages, one-off meeting notes, and fragmented follow-ups. In this demo workshop, attendees will learn a repeatable pattern for using Glean to summarize conversations, pull out action items, create clear next-steps, and collaborate with Glean to get work started – without needing to ask. See how Glean reduces missed follow-ups, minimizes context switching, and helps knowledge workers move faster with more confidence. Attend this session to get more from your email and Slack threads to collaborate and drive action with AI, not just better organization.

Understanding Glean's Intelligence layer: Features and roadmap

Product

Understanding Glean Protect: Features and roadmap

Product

Glean for individual productivity: Features and roadmap

Product

Glean as a company-wide AI platform: Features and roadmap

Product

Choosing your AI front door: Where to standardize and where to stay flexible

AI Strategy

How AI is really reshaping work: which jobs are changing and why

AI Strategy

1:00 PM — 1:50 PM

8 sessions

Under the hood: How context powers proactive AI

Builder

Sales Spotlight: From pain point to blueprint

Builder

Bring your most painful Sales workflow and leave with a plan to build. In this interactive session, attendees will hear from Glean customers & Sales leaders as they share their experiences and lessons learned from tackling real-world challenges with Glean. After a demo, attendees will join a guided working session with Glean experts to surface their biggest pain points and anchor them in clear jobs-to-be-done. By the end of the session, attendees will have worked through a high-friction Sales workflow and built a blueprint to address it.

How tokenomics ate the world

Outcomes

Do more with Glean: The five-minute status update

Outcomes

Every knowledge worker has to report on their work. Weekly status updates, QBRs, team standups, executive snapshots — the format changes, but the grind is the same: digging through Jira tickets, Slack threads, meeting notes, and email to reconstruct what actually happened and turn it into something coherent before a deadline. Most people spend more time writing the update than it deserves. Others, just skip it. In this workshop, you'll learn how to use Glean to collapse that process from an hour to minutes. We'll show you a repeatable pattern for pulling context from across your calendar, project tools, and communications into a structured, accurate status update — one that reads like you spent real time on it, because Glean did. Whether you're preparing a weekly team snippet, a QBR, or a quick executive pulse, you'll leave with a workflow you can run the next time one is due — and get time back every week after.

Understanding Glean's Intelligence layer: Features and roadmap

Product

Understanding Glean Protect: Features and roadmap

Product

Glean for individual productivity: Features and roadmap

Product

Glean as a company-wide AI platform: Features and roadmap

Product

Virtual

10 sessions

Connecting data to Glean: New hybrid search capabilities and new connectors

Admin

We'll share what's coming to the connector and indexing pipeline that will dramatically shrink the gap between connecting an app and having searchable content available for your users. We'll preview new connector configurations designed to give you more control, walk through what the updated setup experience looks like, share new tools and connectors for you to enable, and show you the health metrics that will help you track freshness and coverage with confidence. We'll walk through how to audit your current coverage to spot data gaps, explore newly added connectors, and show off expanded read and write tool capabilities across some of our most popular ones.

Managing Glean using AI

Admin

We believe admins shouldn't have to wait for support or sift through logs to troubleshoot an issue. You should be able to ask, get an answer, and act on it. We're building toward an experience that's proactive, one that surfaces recommendations, flags things that need attention, and helps you figure out the right configuration for your specific organization. Attendees to this session will learn how to best utilize the latest in Glean administrative features and get a glimpse at the roadmap for features that make managing Glean faster and easier.

Building AI habits: How admins drive lasting adoption

Admin

We’ve all got them. The team that never logged in. The exec who “doesn’t need it.” The power user who tried Glean once and ghosted. The department that keeps asking for a feature they already have. This session looks at the real reasons adoption stalls after launch and how admins can turn early interest into lasting habits. Drawing on lessons from customer adoption efforts over time, it will unpack the human side of change, including quiet resistance, uneven engagement across teams, and the tendency to treat AI like a standard software deployment instead of a behavior shift. Attendees will leave with practical ways to diagnose what is slowing adoption in their organization and stronger frameworks for helping Glean become part of how people work every day.

From AI use case to AI solution on Glean

Builder

A strong AI use case is not yet a strong solution. Teams often know the pain point they want to solve, but get stuck translating that idea into the right combination of Glean primitives, agent patterns, actions, workflows, and implementation choices. In this session, we’ll walk through a practical methodology for moving from a customer or internal use case to a well-designed solution on Glean. We’ll show how Glean teams evaluate the job to be done, identify the real user workflow, decide what should be retrieval vs. reasoning vs. action, and choose the right build surface for the problem. Along the way, we’ll share the tools, design artifacts, and working practices that help teams move faster and avoid common dead ends. This session complements ADLC, but focuses on the first 3 phases in the process: before you are scaling agents, how do you frame the problem correctly and design a solution that is actually worth building?

Do more with Glean: The next generation of interactive dashboards

Builder

It started with a simple HTML artifact. Now it's becoming something else entirely. In this session, you’ll see how artifacts at Glean have evolved from static outputs into dynamic, interactive experiences that empower anyone to become a builder. We'll walk through how teams are using interactive artifacts to visualize metrics, create shareable content, build presentations, generate reports, and more, all from a conversation. Then you'll build them yourself. You'll get time to create your own artifacts live, experimenting with different use cases and seeing just how far you can push them.

Common agent problems, and how to fix them

Builder

Sometimes a use case sounds promising, the build starts, and then progress stalls. The agent is inconsistent. The workflow is too brittle. The action model is wrong. The retrieval is weak. Or the team realizes too late that the problem was framed incorrectly in the first place. In this session, we’ll break down what to do when a Glean solution is not working the way you expected. We’ll walk through the most common failure modes in solution design and implementation, then show the patterns that help teams get unstuck. Rather than treat every problem as a debugging exercise, this session helps builders recognize when they need to redesign the solution itself. Attendees will leave with a set of practical design patterns, anti-patterns, and troubleshooting approaches they can apply to real projects.

Under the hood: An introduction to platform primitives and use cases

Builder

Before you build, you need the map. This session lays out the core building blocks of the Glean platform and how they fit together, so you leave knowing what each one does and when to reach for it. We walk the full surface: getting data in through the indexing APIs and SDKs, semantic retrieval over search and chat, actions and tools to take action in your systems, identity and permissions, eval, and the access layer that exposes all of it to the outside world. Each primitive comes with a real use case, the request and response shapes, and the tradeoffs against rolling your own. MCP is the access path most builders ask about first, so we show it live: Glean exposed as an MCP server, with its retrieval and context available in tools like Claude Code and Cursor. We close with a decision tree for the most common question builders have, which is when to reach for a custom app, an agent, an MCP server, or a Glean action.

Understanding business processes for agent builders

Builder

How Glean learns: Continual learning for the self-improving enterprise

Builder

Every agent run leaves a trace. Which paths it took, where it spent tokens and got something useful back, what worked well enough to try again. Most teams treat that as log data — something you look at when things go wrong.

The more interesting question is what happens when you actually use it. Not to retrain a model, but to learn how work gets done in your organization: adjusting instructions, routing logic, and strategy as processes change, rather than reconfiguring everything by hand after the fact.

Attendees will understand a framework for continual learning and how it gets applied to models, harnesses, and context. The goal from learning is to make AI more efficient, smarter, and staying in sync with the evolution of the enterprise.

Real solutions to common AI deployments

Outcomes

Getting AI deployed is the easy part. What happens three months later — when adoption plateaus, search quality disappoints, governance questions pile up, and the original champions have moved on — is where most programs actually struggle. This session is for the people who own those problems. In a structured, practitioner-led format, we'll work through the most common failure modes that admins and AI program owners face after go-live: connector and data freshness issues, permission conflicts that break trust, low-quality results that drive users away, and the organizational friction that makes fixes harder than they should be. You'll hear directly from peers who've hit the same walls and found their way through. Leave with a concrete checklist of the most common problems and the fixes that actually work — not transformation theory, but the hands-on knowledge you can use the week you get back.

Customer Awards and Speaking Opportunities

Nominate an Award Winner

Nominate yourself, your peer, or your team for an AI transformation award

Nominate

Apply to Speak at Glean:GO

Have a powerful story about AI transformation at your company? Apply to speak at Glean:GO and share how your team is using Work AI to drive real business outcomes.

Apply to speak

Partner with Glean at Glean:GO

Glean:GO is Glean’s flagship conference for enterprise AI and the connected workplace, bringing together customers, prospects, and partners who are shaping how work gets done with AI. This is your opportunity to put your brand at the center of the conversation and showcase how you create value with Glean.

Reach a high-intent audience

of IT, digital workplace, AI, and business leaders actively investing in enterprise AI.

Showcase joint solutions

and integrations that help customers get more out of Glean and their broader stack.

Accelerate co-selling

with Glean through deeper GTM alignment and focused conversations with target accounts.

Sponsors can expect a strong mix of brand visibility, thought leadership, and pipeline-building moments across keynotes, breakouts, and networking.

Explore sponsorship

sponsorships@glean.com

Location

Fort Mason, San Francisco

Festival and Gateway Pavilion

Revisit the best of Glean:GO 2025

FAQs

What is Glean:GO?

Glean:GO 2026 is Glean’s flagship event for customers, prospects, partners, media, and analysts.

It is where leaders, builders, and operators come together to see what’s next in enterprise AI, learn from the teams already putting AI to work at scale, and get practical guidance they can bring back to their organizations.

From strategic keynotes and customer stories to technical deep dives, hands-on workshops, and certification-style learning, Glean:GO is designed to help attendees move from experimentation to real business impact.

Is Glean:GO a hybrid event?

Yes.

Glean:GO 2026 is planned as a hybrid event with both in-person and virtual experiences, so teams can join in the format that works best for them.

Where is the in-person Glean:GO event taking place?

Glean:GO 2026 is planned for San Francisco, with Fort Mason as the working venue for the in-person experience.

We’ll share final venue details, logistics, and arrival information with registered attendees as details are finalized.

When is Glean:GO happening?

Glean:GO 2026 is planned as a multi-day event happening on August 26th to 27th, 2026.

Who should attend Glean:GO?

Glean:GO is built for a broad enterprise AI audience, including customers, prospective customers, admins, developers, IT and security leaders, functional business leaders, and executives shaping how AI gets adopted across their organizations. Whether you want strategic guidance, practical implementation advice, product depth, or hands-on learning, there will be programming designed for your role.

What kinds of sessions can I expect?

Glean:GO 2026 is shaping up to include:

Keynote moments focused on Glean’s product vision and the future of enterprise AI
Customer stories and practical transformation sessions centered on adoption, ROI, governance, and change management
Technical builder sessions on agents, MCP, APIs, platform primitives, continual learning, and proactive context
Admin-focused sessions on deployment, connectors, adoption, governance, security, and AI cost management
Roadmap and product sessions that go deeper on the platform areas announced on the main stage
Invitation-led executive programming for senior leaders
Partner programming and showcase moments
Hands-on onboarding and workshop-style learning for users who want to build skill quickly

Will there be hands-on workshops or training?

Yes.

In addition to breakout sessions, the 2026 program is expected to include hands-on workshops, guided build sessions, and onboarding experiences designed to help attendees learn by doing.

That includes working sessions for builders and admins, as well as a user onboarding bootcamp experience for attendees who want practical, step-by-step enablement.

Will sessions be available on-demand?

Yes.

Keynotes and many sessions are expected to be recorded and made available after the event so attendees can catch up on the programming they missed and share relevant content with their teams.

Will there be networking opportunities?

Absolutely. Glean:GO is being designed to create meaningful opportunities for attendees to connect with peers, customers, builders, admins, executives, and partners through curated discussions, breakout conversations, and community moments across the event.

How do I register for Glean:GO?

Simply fill out the registration form on this page.

Once you register, you’ll receive a confirmation email along with event updates, including agenda announcements, speaker news, and logistics details as they become available.

How can I participate as a sponsor or partner?

We’d love to hear from you.

If you’re interested in sponsorship, partnership, or showcase opportunities tied to Glean:GO 2026, email sponsorships@glean.com and our team will follow up with next steps.

Where can I find the event agenda?

We’ll publish the agenda on this page as the event approaches. Once you’re registered, you’ll also receive updates as tracks, sessions, speakers, and scheduling details are released.

Who do I contact for more information?

If you have questions, email events@glean.com.

Our team is here to help you get the most out of your Glean:GO experience.