OpenText는 수십 년간의 전문 지식을 통해 데이터를 활용하고, 사람과 프로세스를 연결하며, 신뢰할 수 있는 AI를 강화합니다
기업 전체의 데이터를 매끄럽게 통합하여 정보 단절을 없애고, 협업을 강화하며, 리스크를 최소화하세요
데이터를 AI가 활용 가능하고 구조화되고, 접근 가능한, 최적화된 정보로 변환하세요
규제 및 준수 요구 사항을 충족하고 정보의 수명 주기 전반에 걸쳐 보호하세요
OpenText는 사람들이 콘텐츠를 관리하고, 작업을 자동화하며, AI를 사용하고, 협업하여 생산성을 높일 수 있도록 지원합니다
전 세계 수천 개의 기업이 OpenText의 혁신적인 솔루션으로 성공을 거두고 있는 방법을 확인해 보세요
직원은 OpenText의 가장 큰 자산으로, OpenText 브랜드와 가치의 생명입니다.
OpenText가 사회적 목표를 발전시키고 긍정적인 변화를 가속화하기 위해 어떤 노력을 하고 있는지 알아보세요
디지털 혁신을 이루기 최적인 솔루션과 전문성을 갖춘 OpenText 파트너를 만나보세요
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
한 번만 연결하면 안전한 B2B 통합 플랫폼으로 모든 대상과 연결할 수 있습니다.
AI가 활용 가능한 콘텐츠 관리 솔루션으로 지식 재구성
기업 보호를 위한 통합 사이버 보안 솔루션
AI 기반 DevOps 자동화, 테스트 및 품질을 통해 더 나은 소프트웨어를 더 빠르게 제공
잊을 수 없는 고객 경험으로 대화 재창조
IT 운영의 비용과 복잡성을 줄이기 위해 필요한 명확성 확보
검증된 OpenText 정보 관리 기술을 사용하여 맞춤형 애플리케이션 구축
사용자 정의 애플리케이션 및 워크플로를 지원하는 실시간 정보 흐름을 제공하는 OpenText Cloud API를 사용하여 원하는 방식으로 구축
안전한 정보 관리가 신뢰할 수 있는 AI를 만나다
데이터와 AI의 신뢰를 높이는 통합 데이터 프레임워크
데이터 언어로 에이전트를 구축, 배포 및 반복할 수 있는 공간
AI를 강화하기 위해 데이터 수집 및 메타데이터 태그 지정 자동화를 지원하는 도구 세트
거버넌스를 사전 예방적이고 지속 가능하게 만드는 서비스 및 API 제품군
AI 여정을 도와주는 전문 서비스 전문가
새로운 방식으로 정보 보기
비즈니스, 데이터 및 목표를 파악하는 AI
더 빠른 의사 결정을 만나보세요. 안전한 개인 AI 비서가 업무를 시작할 준비가 되었습니다.
공급망을 위한 생성형 AI로 더 나은 인사이트를 얻어보세요.
AI 콘텐츠 관리 및 지능형 AI 콘텐츠 어시스턴트를 통해 효율적으로 작업하세요.
더 빠른 앱 제공, 개발 및 자동화된 소프트웨어 테스트를 만나보세요.
고객 성공을 위해 고객 커뮤니케이션과 경험을 개선해 보세요.
사용자, 서비스 상담원 및 IT 직원이 필요한 답을 찾을 수 있도록 권한을 부여하세요.
OpenText는 주요 클라우드 인프라 제공업체와 협력하여 어디서나 OpenText 솔루션을 실행할 수 있는 유연성을 제공합니다
OpenText는 최고의 엔터프라이즈 앱 제공업체와 협력하여 비정형 데이터를 활용함으로써 더 나은 비즈니스 인사이트를 제공합니다
OpenText banks on OpenTextInformation Management technology leader transforms project management with OpenText™ Project and Portfolio Management for CSO AI team


Usha Talasila, VP of AI PMO – Cloud Services PS, has spearheaded a transformative initiative to streamline project portfolio management across OpenText Engineering and Operations. Previously, the organization faced significant challenges due to fragmented project-tracking systems—projects being managed in disparate tools like JIRA, Microsoft Project, and Excel, making it difficult to consolidate statuses and maintain visibility across more than 180 active initiatives.
These projects were not routine quarterly releases, but high-impact, strategic efforts driven by the CEO, CPO, and Operations leadership. Without a centralized system, project data was scattered across individual desktops, and identifying the right project manager or accessing up-to-date status reports was a time-consuming and manual process.
Later, Usha was appointed to a new role in Professional Services, where projects form the backbone of operations and project and portfolio management is central to tracking performance. Afterwards, with the company’s strong strategic focus on AI, the need for a unified project management solution for coordinating initiatives has once again emerged as a critical priority.

We want everyone in professional services to adopt PPM for project management. And use it as a one source of truth for project statuses and things like that.‘
To address the challenges of fragmented project tracking and lack of visibility for Engineering and Operations teams, Usha Talasila and her team began exploring a centralized solution with OpenText Project and Portfolio Management.
Cut through the chaos and connect strategy to execution
To address the challenges of fragmented project tracking and limited visibility across engineering and operations teams, Usha Talasila and her team began exploring a centralized solution with OpenText Project and Portfolio Management (PPM).
This included managing project initiation requests (PIRs), which are critical for evaluating cross-functional demands—whether it's provisioning environments, logging defects, or initiating patch management. PPM helps distinguish between ad hoc requests and substantial projects requiring formal oversight.
PPM was also extended to support internal cross-functional programs such as FedRAMP, Protected B, and the OCP-to-GCP conversion—initiatives that span IT, engineering, support, and services.
A major advantage was the ability to generate automated, standardized weekly status reports—an immediate value-add for a global organization with frequent requests for updates.
Previously, status reporting was a manual, time-intensive process, with stakeholders relying heavily on Usha’s team for the latest insights. With PPM, the team could consolidate all project data in one place, enabling seamless reporting without disrupting existing formats. The transition was smooth for internal teams and stakeholders, who continued receiving familiar-looking reports with enhanced accuracy and consistency.
PPM was adopted for two primary purposes:
PPM offered a way to consolidate all project data in one place, streamlining reporting and making it easier to track progress across more than 180 active projects.
The initial rollout of PPM within engineering, operations, and IT was well received, with teams quickly adapting to the new system.
The journey to adopting PPM began when the PPM senior product manager introduced R&D resources that provided foundational training and guidance. Through these resources, Usha and her team learned how to use PPM effectively and collaborated with experts to define tailored workflows.
Today, a dedicated PPM senior consultant supports the team in expanding PPM usage for AI-related initiatives and broader adoption within professional services.
The deployment itself was swift and efficient—completed in under two months. The rollout was phased, based on project types: product-based initiatives, internal bridging or patching efforts, and operations-focused projects. Training was customized for each group of project managers, starting with operations, followed by engineering.
Adoption was rapid. The team made a decisive shift by announcing a cut-off date: starting Friday, no new data would be entered into legacy systems like JIRA. Since many project initiations had already been logged in JIRA, the development team was able to port that data into PPM quickly. JIRA, which lacked capabilities for managing project plans and milestones, was never designed as a true project management tool—making the transition to PPM both logical and necessary.
By the following Monday, the team had fully transitioned to PPM. JIRA access was disabled for project updates, and all project management activities were centralized. This marked a significant milestone in streamlining operations and improving visibility across teams.
In 2023, Usha transitioned into a new role within the Chief Strategy Office (CSO), led by Paul Duggan, to oversee CSO AI Initiatives. Once again, she encountered a lack of standardized tools—teams were using Planview, Excel, and other disconnected systems. This prompted a second wave of PPM adoption, this time within professional services and focused on supporting AI-related projects.
The AI landscape was rapidly evolving, with teams launching initiatives independently, often duplicating efforts due to limited visibility. To bring order to this innovation surge, PPM was introduced to:
OpenText Project and Portfolio Management now serves as the intake and tracking mechanism for internal AI adoption efforts, including:
All requests are now funneled through a business justification process, documented via a standardized slide deck, and tracked within OpenText Project and Portfolio Management —replacing scattered documentation across SharePoint and personal drives.

When we implemented PPM across engineering and operations, we saw massive efficiency gains—project managers went from spending nearly two hours per report to just a few minutes. With around 180 active projects, that translates to saving over 360 hours every week [...].
The rollout of OpenText Project and Portfolio Management within engineering and operations delivered significant efficiency gains across the organization.
Prior to implementation, each project manager spent approximately 1.5 to 2 hours per week manually preparing status reports. With around 70 project managers, each overseeing three to four projects, the cumulative time spent on reporting was substantial—especially with over 180 active projects.
After adopting OpenText Project and Portfolio Management, reporting time has been reduced dramatically. Instead of manually compiling updates, project managers can now input status information directly into OpenText Project and Portfolio Management during meetings or as part of their regular workflow. The system then automatically generates the weekly status reports, typically by Friday afternoon, requiring minimal effort from the team.
This automation has transformed a previously time-consuming task into a matter of minutes. The time savings are considerable—roughly 360 hours per week across all projects. Beyond time efficiency, the solution has improved consistency, reduced errors, and provided leadership with timely, reliable insights into project progress.
Our goal is to drive full adoption of OpenText Project and Portfolio Management across professional services (CSO), positioning it as the single source of truth for project management, status tracking, and reporting. By standardizing on OpenText Project and Portfolio Management, we aim to eliminate fragmented tools and processes, ensuring consistency and visibility across all teams.
In addition to broad adoption, we’re excited about the potential of OpenText Project and Portfolio Management AI—the integration of artificial intelligence capabilities within the platform. We want to be among the first users to explore and test these features, contributing real-world use cases that are meaningful for project managers and can enhance productivity.
When we began discussing the second phase of OpenText Project and Portfolio Management implementation focused on AI projects, we were particularly interested in how AI could help automate tasks and improve efficiency in tracking and managing those initiatives. Essentially, it’s a meta-layer: using AI within OpenText Project and Portfolio Management to manage AI-related projects. Our immediate priority is to introduce a structured intake process for AI innovation requests. Once AI capabilities within OpenText Project and Portfolio Management become available, we plan to leverage them to streamline prioritization, resource allocation, and reporting. We’re eager to be beta testers for these new features and are ready to provide feedback and help shape its development.
The long-term goal is to fully integrate AI capabilities into OpenText Project and Portfolio Management itself—enabling smart recommendations for project plans, risk assessments, and resource allocation based on similar past initiatives. This will further enhance efficiency and decision-making across the organization.
For project managers, the core focus remains:
OpenText Project and Portfolio Management is now positioned as a strategic enabler for both operational excellence and AI innovation within CSO.
