AI 搭載のグローバルクリエイティブオペレーションズエンジンで年間 30 万ドルを節約する Indeed

Highlights

Challenges

• System rigidity: A legacy, developer-dependent environment made it impossible for creative teams to iterate on workflows in real time.

• Administrative friction: Managing 1,500+ requests across 28 languages created a massive manual triage burden for senior producers and analysts.

• Reporting lag: Leadership lacked real-time visibility into global capacity, with producers spending 13 hours per month manually mining data for status updates.

Solutions

• Automated project discovery: AI Studio parses unstructured intake data to auto-draft technical project charters and requirements documents.

• Intelligent triage engine: Smart rules automatically route global requests to 80 specific portfolios and assign job codes based on region and asset type.

• Autonomous brand auditing: Asana AI Teammates act as global content strategists, matching localized assets to brand guidelines across 28 languages in seconds.

Outcomes

• $300,000 saved in time savings and unlocked capacity across globalization and analytics functions.

• 1,400+ high-level hours reclaimed annually by automating project charters and discovery.

• 42% reduction in manual ticket management for the global creative agency.

• 60% faster lead time from raw request to active project by eliminating manual scoping.

Asana のおかげで、広範囲にわたるクリエイティブオペレーションの管理方法が根本的に変わりました。 個々のキャンペーンからプログラム全体のポートフォリオまで、すべてのクリエイティブワークストリームをリアルタイムで確認できるようになりました。これは初めてのことです。 この透明性により、パターンを特定し、ボトルネックを早期に解消し、より迅速かつ情報に基づいた意思決定を行えるようになりました。”

Winner: 2026 Global AI Innovation Partner Award

This award recognizes Indeed for moving beyond simple task automation to a cognitive delegation model. By using AI Studio to handle the most mentally taxing parts of project management—discovery and triage—Indeed has created a global blueprint for AI maturity.

Use case 1: Automated project discovery and technical scoping

For Indeed’s Analytics teams, the discovery phase of a project was previously a high-touch administrative bottleneck. Senior analysts spent hours interviewing stakeholders and drafting charters before actual work could begin. Indeed solved this by using AI Studio to act as a first responder, automating the cognitive load of project kickoff.

• AI-powered intake: When a stakeholder submits a data request via Asana forms, rules instantly parse the text to extract data sources and urgency levels.

• Automatic charter drafting: As the project moves to discovery, AI Studio checks the request and creates a project charter and technical requirements document in the comments.

• Predictive prioritization: The AI extracts business value and technical complexity during intake, allowing the team to prioritize the backlog by projected ROI.

• Role shift from author to editor: Senior technical program managers now start with a 70% complete scope and a suggested level of effort, shifting their focus to strategic validation.

最も大きな変化をもたらした要素は、ディスカバリー段階の自動化です。 プロジェクトの立ち上げに必要な検討時間を基本的に自動化しました。 これにより、リードタイムが 60% 削減され、シニア人材はデータ収集者ではなく、戦略的な編集可能ユーザーとして機能できるようになりました。”

Use case 2: Autonomous brand alignment with AI Teammates

Maintaining brand consistency across 60+ countries and 28 languages is a significant challenge for a global creative team. Indeed piloted a Content Strategist AI Teammate to act as an autonomous brand auditor, ensuring localized content aligns with global standards without manual review cycles.

• Global brand auditing: The Asana AI Teammate functions as an always-on brand auditor, matching localized content to global guidelines across dozens of languages.

• Instant brief generation: The teammate analyzes market-specific needs to generate creative briefs in seconds, maintaining the Indeed voice globally.

• Cognitive delegation: By feeding the AI teammate deep institutional memory, Indeed has moved from manual brand-to-market alignment to an automated system of strategic auditing.

• Reclaimed producer time: This autonomous oversight allows creative leads to focus on innovation rather than checking translations and asset compliance.

AI チームメイトのセットアップは、ルールをコーディングするというよりも、同僚をコーチングするようなものです。 AI が下書きを生成し、コンテンツを即座に監査することで、チームはデータ入力から戦略的な監査に焦点を移し、仕事の管理から成果の構築に移行しました。”

Use case 3: The global creative operations engine

Managing a 70+ person in-house agency across 60 countries and 28 languages created significant coordination overhead. Indeed replaced its rigid legacy system with an automated Asana ecosystem that is now the number one AI-adopting team at the company.

• Dynamic intake and triage: A single form captures requirements for 61 different job codes. 18+ custom rules then route the work to one of 80 specific portfolios based on region and asset type.

• Automated reporting: Producers use Smart status to pull real-time data from custom fields and milestones, generating executive updates in seconds instead of hours of manual data mining.

• Instant institutional memory: The team uses Asana AI chat to query the entire domain for historical context, finding specs for past global campaigns in seconds.

• Global localization management: Multi-homing allows a single asset to live in a global production project while simultaneously appearing in regional portfolios for stakeholder visibility.

私たちは単に仕事を Asana に移行しただけでなく、Asana を使って仕事のための仕事を削減しました。 スマートステータスを活用して、クリエイティブオペレーションで最も時間のかかる作業であるデータマイニングを自動化することで、月 13 時間を節約し、その時間をクリエイティブ戦略に再投資できるようになりました。”

Conclusion

Before Asana, Indeed’s global teams faced a scaling wall of manual triage and administrative friction. By building an AI-powered operating system, the company has successfully decoupled its organizational output from its administrative headcount. This unified architecture ensures that as Indeed scales its reach to 60+ countries, its creative and analytics teams remain focused on the mission-critical strategy of helping people find better work. For Indeed, AI is the partner that handles the coordination so humans can handle the mission.