Planning the migration of 1000+ apps meant hours of manual discovery each. Now, AI reads 17,000+ docs to generate reports in minutes.
A global biotechnology company with 29,000 employees was modernizing a complex IT estate spanning 5,000 VMware servers and over 1,000 applications across 29 data centers.
The traditional, manual process for planning the server migration was too inefficient for the project's scale. Initial efforts required one to two...
“We took a step back and decided how we wanted to reinvent CSL. Our goal was to create a robust environment that fosters innovation while keeping things simple, cost-effective, and productive. We set out to build a technology foundation that’s agile and resilient—one that makes it easier for our people to do their best work and make CSL an even better place to work focusing on efficiency. We created our Technology Modernization Program (TMP) to invest in the skills our people need for the future. We’re embracing emerging technologies, including AI, to drive innovation and stay competitive. We want no one left behind in this transition – we’re upskilling and supporting our people to confidently play their role.”
Biotech developer of plasma therapies, vaccines, and treatments for rare diseases.
Cloud computing platform and on-demand infrastructure services.
CSL's Cloud migration planning is part of this use case:
Related implementations across industries and use cases
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Writers spent weeks sifting through data to draft reports. AI now generates a 14-section first draft in minutes for review.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Planning the migration of 1000+ apps meant hours of manual discovery each. Now, AI reads 17,000+ docs to generate reports in minutes.
A global biotechnology company with 29,000 employees was modernizing a complex IT estate spanning 5,000 VMware servers and over 1,000 applications across 29 data centers.
The traditional, manual process for planning the server migration was too inefficient for the project's scale. Initial efforts required one to two...
“We took a step back and decided how we wanted to reinvent CSL. Our goal was to create a robust environment that fosters innovation while keeping things simple, cost-effective, and productive. We set out to build a technology foundation that’s agile and resilient—one that makes it easier for our people to do their best work and make CSL an even better place to work focusing on efficiency. We created our Technology Modernization Program (TMP) to invest in the skills our people need for the future. We’re embracing emerging technologies, including AI, to drive innovation and stay competitive. We want no one left behind in this transition – we’re upskilling and supporting our people to confidently play their role.”
Biotech developer of plasma therapies, vaccines, and treatments for rare diseases.
Cloud computing platform and on-demand infrastructure services.
CSL's Cloud migration planning is part of this use case:
Related implementations across industries and use cases
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Writers spent weeks sifting through data to draft reports. AI now generates a 14-section first draft in minutes for review.
QA teams manually searched vast incident logs to assess deviations. Now, multi-agent AI synthesizes past cases into verified summaries.
Insurance bottlenecks delayed critical therapies for months. Now, AI verifies coverage, freeing care teams to guide patients to treatment.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.