Planners spent half their week pulling data from 12 systems. Now, AI agents propose strategic actions for human review and execution.
A global data and analytics consultancy with over 3,600 employees across 30 countries manages complex media and campaign delivery for enterprise clients in highly regulated industries.
Senior planners on multi-market accounts spent 40 to 60 percent of their week manually assembling data and building reports across 8 to 12 different...
“The bottleneck was not model availability. It was model trustworthiness inside multi-step agentic workflows at enterprise scale.”
AI-powered, data-driven marketing, sales, and CX solutions provider.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
JAKALA's Campaign optimization is part of this use case:
Related implementations across industries and use cases
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Staffing lived in spreadsheets. Now, internal agents automate onboarding and match teams by skill, targeting 30% productivity gains.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Planners spent half their week pulling data from 12 systems. Now, AI agents propose strategic actions for human review and execution.
A global data and analytics consultancy with over 3,600 employees across 30 countries manages complex media and campaign delivery for enterprise clients in highly regulated industries.
Senior planners on multi-market accounts spent 40 to 60 percent of their week manually assembling data and building reports across 8 to 12 different...
“The bottleneck was not model availability. It was model trustworthiness inside multi-step agentic workflows at enterprise scale.”
AI-powered, data-driven marketing, sales, and CX solutions provider.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
JAKALA's Campaign optimization is part of this use case:
Related implementations across industries and use cases
Strategists lost hours rebuilding workflows by hand. Now, a shared AI library shifts focus from mechanical assembly to client strategy.
Consultants spent weeks interviewing staff to map undocumented mainframes. Now, they use Claude to analyze code and generate specs.
Staffing lived in spreadsheets. Now, internal agents automate onboarding and match teams by skill, targeting 30% productivity gains.
Generic energy tips ignored smart meter data. Now, AI analyzes 48 daily readings per customer to write personalized savings advice.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Massive discovery bottlenecked a lean legal team. AI surfaced key issue patterns, freeing attorneys to shape early case strategy.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.