Staff manually gathered specs across scattered systems. Now, 1,400 custom GPTs fetch data via APIs and automate quality compliance.
A life sciences leader providing biological reagents to over 60,000 accounts globally, managing a complex catalog of 4,000 products with custom manufacturing specifications.
Researchers and quality assurance staff faced time-consuming manual tasks, from gathering protein specifications across scattered databases to...
“Innovation is something that is our lifeblood, and our future is based on developing solutions from the talent and ideas that our people have. AI works perfectly with this vision, helping people to see more of what they can do.”
Promega's Enterprise workflow automation is part of this use case:
Reagents and instrumentation for life science research, forensics, and diagnostics.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Scientists lost 25% of their time to manual transcription. AI agents now automate entry and checks, freeing teams for discovery.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Staff manually gathered specs across scattered systems. Now, 1,400 custom GPTs fetch data via APIs and automate quality compliance.
A life sciences leader providing biological reagents to over 60,000 accounts globally, managing a complex catalog of 4,000 products with custom manufacturing specifications.
Researchers and quality assurance staff faced time-consuming manual tasks, from gathering protein specifications across scattered databases to...
“Innovation is something that is our lifeblood, and our future is based on developing solutions from the talent and ideas that our people have. AI works perfectly with this vision, helping people to see more of what they can do.”
Promega's Enterprise workflow automation is part of this use case:
Reagents and instrumentation for life science research, forensics, and diagnostics.
AI research and deployment company developing generative models and tools.
Related implementations across industries and use cases
Scientists lost 25% of their time to manual transcription. AI agents now automate entry and checks, freeing teams for discovery.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Agency fees bottlenecked operations. Now, 50+ custom GPTs handle tasks from turf analysis to invoicing, saving six figures annually.
Manual scheduling trapped recruiters in logistics. AI now automates interview coordination, freeing teams for strategic work.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.