Gleanの効率的な検索機能は、Grammarlyのヘルプデスクの時間を節約し、カスタマーサポートを簡素化します。

<span class="body-weight-bold-new">課題:</span>Grammarly のカスタマーサポートチームは、複数のツールに散在するトラブルシューティング情報をすばやく見つけるのに苦労していました。

See the full customer story

Industry
Software and technology
Headquarters

チャレンジ

Grammarlyのカスタマーサポートチームは、複雑な文章や製品関連の質問についてユーザーを支援します。しかし、適切なトラブルシューティング情報を見つけるには、時間がかかる手動のプロセスでした。回答は Slack、Confluence、Zendesk、Google ドライブに分散していたため、エージェントは 1 つの回答を追跡するためだけに複数のアプリを切り替える必要がありました。この絶え間ないやり取りにより、応答時間が長くなり、作業が重複していました。

解決策

Glean を使用すると、Grammarlyのサポートエージェントはすべてのツールを1か所ですぐに検索できます。アプリを飛び回ったり、古いメッセージを調べたりする必要はもうありません。過去のSlackでの会話、Confluenceのトラブルシューティングガイド、Zendeskのチケットなど、必要なものが何であれ、Glean は最も関連性の高い情報を瞬時に表示します。

  • すべてを 1 回の検索で: エージェントは、集中力を損なうことなく、複数のプラットフォームから回答をすばやく見つけることができます。
  • 時間を無駄にしない: Glean そうでなければ埋もれてしまうかもしれないSlackの関連ディスカッションやドキュメントを再浮き彫りにしました。
  • 既存のツールと連携: コンテンツを移行したり複製したりする必要はありません。Glean はGrammarlyのナレッジソースを自動的に同期させます。

インパクト

Glean、Grammarlyのサポートチームは検索に費やす時間を減らし、顧客への対応により多くの時間を費やせるようになりました。エージェントは自信を持って迅速かつ正確な回答を提供できるため、応答時間が短縮され、顧客満足度が向上します。

Explore more customer stories

Wealthsimple

Wealthsimpleの従業員の98%がGleanを活用して時間を節約し、年間100万ドルのコスト削減を実現しています。

Wealthsimple
Financial services
Enterprise
Databricks

Databricksは、急成長する企業のニーズに対応するためにナレッジの壁を取り除きました。

Databricks
Software and technology
Enterprise
TIME

TIME revives a century of archives—and boosts sales and research—with Glean.

TIME

Work AI for All.

デモに申し込む
CTA BG

Booking.com、人工知能を従業員14,000人に拡大—Glean と共同で、仕事を再定義しましょう

Booking.com scales AI to 14,000 employees—and redefines work—with Glean

Download pdf
概要

何百万人もの人々を世界に、そして従業員をよりスマートな仕事につなげる

Booking.comは、何百万人もの旅行者を思い出に残る体験、交通手段、宿泊施設につなげることで、誰もが世界をより簡単に体験できるようにする、大手デジタル旅行会社です。
Booking.comは、ホテル、場所、航空会社と提携して、世界中の宿泊施設が世界中のオーディエンスにリーチし、ビジネスを成長させることを可能にします。
PDF をダウンロードする
Glean 前

ついにうまくいった検索

Gleanを導入する前は、Booking.comは多数のワークプレースアプリケーションを調整し、非効率的な情報アクセスに対処していました。その結果、データが古くなり、コラボレーションが非効率になり、生産性が低下していました。
同社が必要としていたのは、厳しいセキュリティ要件と GDPR 要件を順守しながらこれらの問題を解決できる、スケーラブルな検索と AI ソリューションでした。彼らは他にもいくつかの検索ソリューションを試しましたが、どれもうまくいきませんでした。
それが彼らがGlean 選んだ理由です。
Glean

AI が仕事と出会う場所 — すべてのチームがより迅速に行動できるよう支援

より速いコンテンツ、より高いインパクト

Booking.comは多くのパートナー向けにプロモーション動画を作成していますが、必要な動画の量が原因でバックログや遅延が発生していました。彼らはGlean を使用して、コンテンツやコンテキストを失うことなく、ビデオスクリプトの作成プロセスを加速しました。
GleanのAIと検索プラットフォームは、ビジネスのペース、重要な収益イベント、制作期限に遅れずについていくのに役立ち、動画1本あたりの制作時間を8週間から2週間に短縮し、制作時間を1か月あたり2本から5本に増やしました。

一瞬で答えます

これまで、Booking.comのIT技術者は、問い合わせ1件につき、回答に必要な適切な情報を見つけるのに最大10分を費やしていました。
技術者が自然言語でニーズを照会し、即座に答えを見つけることができるようになったため、Glean によるチケットの解決にはほとんどまたはまったく時間がかかりません。

全社で活用できる AI

Booking.comは、自社の戦略やワークフローにAIをさらに統合したいと考えていました。Glean は完璧なゲートウェイを提供しました。セットアップが簡単で使いやすいGlean、Booking.comで全社的に採用された最初のAIプラットフォームとなりました。
従業員には、自然言語を使ってタスクの自動化、プロンプトの作成、エージェントのカスタマイズが紹介され、初期のAIリテラシーが実践的で身近なものになりました。
PDF をダウンロードする
... 私たちの文化をAIに慣れさせるのが早ければ早いほど、将来に向けてより良い立場に立つことができます。」
未来

ブッキングドットコムの今後の予定は?

Booking.comのような顧客重視の組織にとって、顧客からのフィードバックと調査は成功に不可欠です。そこで、Glean を通じて Research Craft インサイトボットを作成し、チームが顧客インサイトへの迅速で精選されたアクセスを提供したのです。将来的には、
Booking.comは、このエージェントの機能を拡張して、毎月受信される50万件を超えるオープンアンケート回答のインデックス作成などの機能を追加する予定です。これにより、複数のソースにわたるインサイトが統合され、パーソナライズされた強力でスケーラブルなツールを通じてすべてにアクセスできるようになります。
PDF をダウンロードする
Booking.com Testimonial
Watch video

Work AI for All.

デモに申し込む

How GCash uses Glean to improve financial security for 100 million users

GCash BG Image

How GCash uses Glean to improve financial security for 100 million users

Download pdf
Overview

GCash is the leading finance app in the Phillippines. With over 20 years of commitment to digital financial inclusion, GCash empowers its nearly 100 million users to safely manage their finances and achieve financial security anywhere in the world.

Before Glean

Searching for discoverability

Like every fast-paced company undergoing growth, GCash had an information discoverability problem. Without a centralized intranet, finding information was a tedious, manual process that couldn’t keep up with GCash's business needs.
Furthermore, repeatedly toggling between applications and tasks took workers out of flow, impacting focus and productivity. They needed a centralized, searchable intranet to consolidate data currently isolated across various applications and provide context for everyday work.

That’s why they chose Glean.
Download pdf
With Glean

The context and capabilities to move at the speed of business

Unified context across sources

Glean delivered GCash a comprehensive, unified view of all its knowledge, stitching together information and perspectives from its many data sources.
This proved invaluable for teams like those in the compliance department, which can now index and always stay up-to-date with the sensitive compliance standards set by the many regulatory bodies they work with.

Prioritizing focus and flow

Before Glean, workers regularly had to interrupt their workflows and those of others to ask about the information they needed. This method of information discovery wasn’t just inefficient—it was actively detrimental to organizational productivity.
Now, with a centralized index of all their enterprise information, workers can search and instantly find what they need, staying better informed and focused throughout the day.
gcash-Glean logo

Enabling citizen-developers

Glean enabled GCash to extend its citizen developer program to include AI—empowering employees to build their own applications through Glean Agent Builder.
Now capable of developing personalized business agents through just natural language, teams across GCash are increasingly integrating tailored agents into their workflows.
Download pdf
In five to ten years, the way we work will radically change—all our teams will have their own Glean AI agents assisting them.”
Benson Tan
Benson Tan
Senior Manager for Automation Solutions, GCash
Future

What’s next for GCash

Currently, Glean saves GCash employees 2-3 hours a week, leading to strong word-of-mouth support and over 90% adoption rates in some departments. Moving forward, they’re looking to expand Glean to tackle additional projects, like improving turnaround times for IT support tickets.
With a mission to stay at the forefront of AI integration and innovation in finance, GCash aims to leverage Glean to build at least one customized AI agent for every business unit. Automating administrative work and focusing on higher-value tasks requiring judgment-based expertise sets them up to stay well ahead of the competition.
Download pdf

Work AI for all.

Get a demo

TIME revives a century of archives—and boosts sales and research—with Glean.

Background Image

TIME revives a century of archives—and boosts sales and research—with Glean.

Overview

Bridging 100 years of journalism with tomorrow’s work AI

TIME magazine has been a pillar of American journalism since it was first published in 1923. For over a century, it has chronicled earth-shaping events, becoming an authoritative source for current affairs and in-depth analysis.
With now a website, a magazine, a social media footprint of over 51 million, live events, along with a television and video studio, TIME continues to provide trusted coverage across various media—making it an indispensable resource for understanding human history.
Man looking down image
Typewriter image
Before Glean

Historical data into working knowledge

With over a century of historical articles stored across everything from typewritten pages to scattered digital systems, finding the right information—whether for research or a sales pitch—had become increasingly complex. TIME needed a centralized way to index, understand, and surface all of their content —making it searchable and useful for today’s work.
That’s why they chose Glean.
With Glean

Accelerating sales. Supercharging research. Simplifying work.

Only Time

Closing faster through search

TIME implemented Glean to support its critically busy sales teams by centralizing its wealth of historical data. Integrating apps like Google Workspace and Salesforce, Glean helped TIME streamline workflows, simplify reporting, and establish quick access to information.
With Glean helping prepare for meetings and automating drafting for initial client pitches, sales cycles were accelerated and increasingly successful.
Glean fetching Time's data and indexing

Up and running in weeks

TIME swiftly implemented Glean in 2-3 weeks thanks to out-of-the-box integrations with over 100 platforms and custom training.
Five months later, Glean was effortlessly integrated with TIME’s core systems, user satisfaction was high, and all initial desired use cases were successfully implemented.
Time with Glean

A century of data, fully indexed

TIME leveraged Glean to index over 100 years of historical articles, providing the editorial team with quick and easy access to information.
This significantly enhanced research efficiency by enabling fast retrieval of articles, summaries, and direct links, thereby speeding up story development.
We're up and running in three weeks. I don't think I've ever been able to integrate something quicker and faster than that.”
CIO image
Future

What’s next for TIME

With Glean centralizing and indexing data from over 100 years of articles, TIME ushered in a new era of insight, context, and efficiency across its organization. From revitalizing sales cycles to empowering comprehensive editorial research, Glean powers teams to make better-informed decisions and focus more on high-value endeavors.
Moving forward, TIME is looking to use AI to improve research processes for the TIME 100 or Person of the Year—potentially leveraging Glean to better discover the world's most influential and important people. 
Video ThumbnailTablet video Thumbnail
TIME Testimonial
Watch video

Work AI that works

Get a demo

How Zillow’s adoption of Glean formed an AI-forward culture that powers engineering acceleration and customer focus

How Zillow’s adoption of Glean formed an AI-forward culture that powers engineering acceleration and customer focus

1.5+ hours search time saved per employee, weekly
Over 80% adoption across 7,000 employees
500 Glean agents created within 6 weeks of launch—over 3,400 created in total
Overview
Zillow is the leading residential real estate app in the U.S., providing millions of daily users with services that streamline end-to-end transactions for renters, shoppers, buyers, sellers, and real estate professionals.
By modernizing the real estate experience for everyone for over 20 years, Zillow has provided seamless solutions integrated within a centralized ecosystem—creating a better experience for renters, buyers, and sellers alike.
Watch video
Before Glean
During Zillow's permanent shift to remote work early in the pandemic, working digitally through video conferencing, online authoring, and cloud data sharing created significant discoverability challenges. With information constantly scattered across multiple applications and workers, and without the informal office connections that previously facilitated knowledge sharing, employees struggled to find what they needed.
Zillow needed a platform to unify its fragmented data landscape through better discoverability. They required a solution that provided a connected, single source of information that cut across silos and delivered relevant answers—for both search and AI—all across their vast, fast-moving real estate platform.
That’s why they chose Glean.
With Glean

Search powered by context

Glean connects over 30 data sources and 138 million documents, serving as a single source of truth that streamlines onboarding and helps Zillow employees quickly understand people, projects, and company operations. 
Internal survey data found that Glean saves each employee 1.5 hours per week on information searching. With 80% of employees regularly using Glean, Zillow teams across HR, Engineering, UX Research, and more are able to prioritize higher value activities in their day to day workflows.

Agent deployment across Zillow

Glean enabled Zillow teams to deploy specialized agents across critical workflows within months, with over 3,400 agents created.

  • Leveraging Glean's Databricks Genie integration, Zillow’s People team developed Slack support agents that automatically handle employee questions by accessing existing documentation, employee insights, and people analytics.
  • Ask Z Agent: Zillow’s UX Research Team created an agent that indexes and democratizes access to customer research and insights. Now, employees across Zillow can easily utilize data-driven insights as they make decisions.
  • Platform Support Q&A Agents: Built by platform owners with teams that answer a high volume of questions, these agents have been attached to Slack channels to auto-answer questions and deflect recurring inquiries, saving time across teams.
  • Self Review and Peer Feedback Agents: Self reviews and peer feedback are critical components to annual review cycles, but can take significant time. Zillow created an agent that helped employees synthesize impact, and in doing so, drove a 7% increase in employee review participation in its first review cycle, run almost 10,000 times.
  • Generating Incident Timeline Documentation: This Glean agent creates a first-pass of a postmortem document, organizing all communications and troubleshooting across multiple platforms into a single timeline, and even proposing action items. This has sped up the Engineering team’s ability to take action and drive the business forward.

Accelerating engineering with Glean MCP

Glean enables every engineer at Zillow to integrate company-specific context into their AI coding workflows through Glean’s MCP server. Within their development environment, engineers connect Glean to AI coding assistants like Cursor and Claude Code, allowing them to pull context from design documents, JIRA tickets, and existing GitHub code patterns.
Engineers can rapidly accelerate project initiation by accessing relevant internal documentation whenever and wherever needed, while simultaneously raising coding standards directly within their development tools.

From onboarding to immediate impact

Glean enables onboarding employees at Zillow to easily navigate new environments and situations by breaking down information barriers. New employees can instantly access essential people, projects, and company knowledge for successful remote onboarding.
New hires at Zillow are able to quickly deliver great customer experiences by leveraging Glean to research meeting participants, understand project context, and prepare for scheduled interactions—processes that previously required meetings, hallway conversations, and hours of search. 
Glean plays a critical role in uniting a distributed workforce here at Zillow. Best of all, it goes beyond just enterprise search—it’s a solution that fully lets us leverage all our data through the latest AI models. With an 80% adoption rate of Glean, it’s helping everyone work closer together than ever before.
Toby Roberts
Senior VP of Engineering, Zillow

How Zillow is driving adoption

“We’ve found that the easiest way for folks to learn how to use AI is through peer sharing and experimentation,” says Anne Wingate, Senior Product Manager, Enterprise Technology. Zillow has run a series of AI Days across the organization, virtual learning experiences where teams come together, break into pods, and experiment with building out Glean agents.
Zillow has also set up an AI productivity Slack channel, where people post daily tips and tricks highlighting ways that AI is working for them. With an emphasis on sharing use cases and best practices company-wide, they are driving enthusiasm and awareness of how AI can positively impact day-to-day workflows.
Future

What’s next for Zillow

With nearly the entire company leveraging Glean’s search and work AI platform to accelerate their work, Zillow has built an AI-forward culture capable of driving better decision making, automating repetitive tasks, and spending less time than ever on manual search and question answering.
Moving forward, they’re better positioned than ever to focus on delivering exceptional customer experiences for their millions of everyday users.
I love Glean’s ability to help us navigate Zillow. We have so many exciting things happening and Glean helps cut across silos and be a single source of information across multiple people, teams, and projects.
Anne Wingate
Senior Product Manager, Enterprise Technology
Glean is like the teammate that’s been at the company for many years.
Anthony Gatto
Applications Engineer
A diverse range of Glean agents have been built across Zillow. We love that departments can have a structured approach to building an agent on Glean, but individuals can also go in and build something that's customized to their unique workflows.
Anne Wingate
Senior Product Manager, Enterprise Technology

Work AI for all.

Get a demo

Gleanの効率的な検索機能は、Grammarlyのヘルプデスクの時間を節約し、カスタマーサポートを簡素化します。

Industry
Software and technology
Headquarters
Overview

Motive is an AI platform for physical operations that empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Serving nearly 100,000 customers across industries including transportation and logistics, construction, energy, field service, agriculture, manufacturing, food and beverage, retail, waste services, and the public sector, Motive provides a unified platform where safety, operations, and finance teams can manage their workers, vehicles, equipment, and fleet-related spend in a single system for the first time.

Before Glean
As Motive scaled, they identified an opportunity to accelerate productivity by improving how employees access knowledge across the organization. With an ambitious goal of boosting productivity by 50%, Motive prioritized enterprise search as a foundational capability. Beyond search, Motive was focused on equipping teams with more secure, company-contextual AI that could meaningfully improve day-to-day workflows — ensuring employees had fast, trusted access to the information they need while maintaining the highest standards of security.
They needed a solution that would democratize employee access to powerful AI capabilities, allow employees to experiment with various models, and unlock agentic workflows, while maintaining strict security standards. Furthermore, repeatedly toggling between applications and tasks took workers out of flow, impacting focus and productivity. They needed a centralized, searchable intranet to consolidate data currently isolated across various applications and provide context for everyday work.

That’s why they turned to Glean.
Launching Glean
Deployment made easy & secure

Glean's out-of-the-box data connections and rapid deployment capabilities, paired with Motive’s phased launch approach and grassroots enablement efforts, made implementation quick.
Once Motive configured the key data source connections and identified AI champions to act as Glean leads across departments, they began turning on access. Their phased launch approach enabled them to address initial questions, begin experimenting with use cases, and continue rolling out priority data connectors before expanding organization-wide.
With Glean

Search, swiftly solved

Glean provided Motive employees with quick and relevant answers sourced from a comprehensive knowledge graph of their entire enterprise.
The launch of Glean Assistant further elevated the efficiency of knowledge discovery at the company, enabling users to prompt and leverage powerful new models securely when searching for information and solutions.

Agents at work

Motive rolled out agents with the intent of getting AI into employees’ hands. Requiring only natural language to get started, Glean's Agent Builder platform provided a solution. With over 2,000 agents already in their library, Motive is experimenting, iterating, and successfully implementing agents at scale. 
  • HR: Self-Assessment Agent: Built by the HR team, this agent accelerates self-review processes with advanced looping. It reviews employee job architecture matrices, past performance reviews, project documents, and Slack and meeting transcripts. It then provides suggested areas of improvement and critical thinking questions for an employee to consider. The HR team estimates 60-90 minutes saved per run, and saw 1100 runs in just the first self-review cycle.

  • GTM: Sales Prospecting Assistant: Drawing from nearly 80 pieces of Motive’s sales content, this agent helps sellers quickly tailor high-quality emails, discovery questions, and talk tracks that align with Motive’s sales methodology and best practice frameworks. Estimated to save 60 minutes per run, this one agent has unlocked valuable time savings for sellers to focus more time on customer conversations — enabling more consistent engagement, stronger buyer experiences, and increased meeting volume.
  • GTM: Account Plan Creation Agent: One of Motive's most valued GTM agents, it accelerates account planning for strategic customers by synthesizing external signals (such as recent news), structured CRM data from Salesforce, and unstructured inputs from tools like Slack, Fellow, and Google. What once took three days now requires just two hours to reach a strong first draft. Doing so, the agent allows sellers to spend more time refining strategy and execution rather than starting from a blank page. The impact can compound up the management chain: deal reviews are more focused, leaders surface risks and opportunities earlier, and teams align faster around critical insights. Motive plans to further tailor the agent to meet the specific needs of each customer segment.
Driving Success with AI Tools 
Motive’s approach to AI reflects the same philosophy that underpins its products: an AI-first platform built for scale, trust, and real-world impact. The company’s strategy for success is rooted in decentralized innovation: putting powerful AI tools in everyone’s hands, with centralized guardrails around data, security, and quality.

As an AI-first company, Motive leverages the power of AI across countless workflows. The belief is simple: adoption accelerates when AI feels accessible and immediately useful. To encourage exploration, Motive invests heavily in enablement, including dedicated Slack channels, open office hours, and hands-on learning forums.
One of the most impactful initiatives is AI Labs, where employees across functions propose and prototype AI agents tied to real business outcomes. Participants estimate expected impact, then collaborate live with subject-matter experts to refine performance and applicability. These sessions are intentionally open, allowing others to observe, learn, and contribute, reinforcing a culture of shared innovation rather than siloed experimentation.

Over the past six months, these sessions have driven over 55 quantified outcomes, boosted cross-functional collaboration, and fostered a culture of learning, with team members reporting thousands of hours saved per week across multiple AI tools. “Glean has done a lot for our culture - we are empowering and trusting people to use AI to elevate their work,” says Maddie Engelmeier, Product Management Leader at Motive.
Glean has put advanced AI that’s easy to use into the hands of every single person at Motive. It's helped make AI less of a mystery, and more a part of how everyone works.
Maddie Engelmeier
Product Management Leader for Employee Experience & Productivity, Motive
Future

What’s next for Motive

Motive continues to push the boundaries of AI adoption by analyzing how AI usage trends correlate with existing team KPIs, revealing promising early links between high adoption and stronger performance outcomes. A recent internal survey also showed growing, positive sentiment toward AI across the organization, with momentum building since Q2 2025. With democratized AI for all employees, agentic workflows automating processes, and AI that fundamentally changes how work gets done, Motive is moving forward with Glean as its foundation for AI workflow transformation.
They're focused on quantifying not just efficiency gains but effectiveness improvements and innovation investments—whether that's getting the time back to focus more on upskilling, tackling higher-value work, or simply taking a walk outside to become a happier, better employee. When it comes to AI, Maddie believes that everyone should feel empowered. “This type of technology for the enterprise is still somewhat new, which makes AI a fairly even playing field. It’s allowing everyone to have a seat at the table. While this can be daunting, it also makes right now the perfect time to experiment.”

Work AI for all.

Get a demo