Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Norway's largest communications group employs over 400 creative professionals across a diverse portfolio of advertising, design, and digital agencies.
Clients increasingly demanded faster turnarounds, but manual research processes often took days and consumed valuable creative time. The organization...
“We were already experimenting with AI tools across the organization, but recognized the need for a more structured, enterprise-wide approach.”
TRY's Creative operations is part of this use case:
Creative agency for advertising, digital strategy, and technology solutions.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Spec ads took three weeks across separate systems. Gen-2 now generates full video from text, bypassing physical production.
Coding took weeks, limiting testing volume. Now, agents orchestrate the build, leaving humans to focus on final polish.
Processing 100k+ words manually left no time for advocacy. Claude synthesizes insights, enabling unprecedented policy impact.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Norway's largest communications group employs over 400 creative professionals across a diverse portfolio of advertising, design, and digital agencies.
Clients increasingly demanded faster turnarounds, but manual research processes often took days and consumed valuable creative time. The organization...
“We were already experimenting with AI tools across the organization, but recognized the need for a more structured, enterprise-wide approach.”
TRY's Creative operations is part of this use case:
Creative agency for advertising, digital strategy, and technology solutions.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Spec ads took three weeks across separate systems. Gen-2 now generates full video from text, bypassing physical production.
Coding took weeks, limiting testing volume. Now, agents orchestrate the build, leaving humans to focus on final polish.
Processing 100k+ words manually left no time for advocacy. Claude synthesizes insights, enabling unprecedented policy impact.
Isolated AI tools fragmented engineering workflows. Now, embedded agents run dozens of concurrent tasks, routing outputs for human review.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.