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<\/span>Estudo de caso<\/em><\/h3><\/div>\n\n\n\nTransforma\u00e7\u00e3o de GenAI em toda a empresa<\/h1><\/div>\n<\/div><\/div>\n\n\n\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n\n\n\nHow a German research and engineering company in salt technology \u2014 around 150 employees \u2014 went from a first AI workshop to company-wide use of generative AI: individual AI assistant accounts for a large part of the workforce, shared usage guidelines, and a newly created internal role dedicated to AI.<\/strong><\/p>\n\n\n\nO cliente<\/h4>\n\n\n\n
O nosso cliente \u00e9 uma empresa alem\u00e3 de m\u00e9dia dimens\u00e3o de investiga\u00e7\u00e3o e engenharia em tecnologia do sal, com cerca de 150 colaboradores a trabalhar nas \u00e1reas de engenharia de processos, an\u00e1lise laboratorial e conce\u00e7\u00e3o de instala\u00e7\u00f5es. Tal como a maioria das empresas de engenharia desta dimens\u00e3o, o seu trabalho di\u00e1rio \u00e9 fortemente baseado em documentos: relat\u00f3rios t\u00e9cnicos, propostas, resumos de investiga\u00e7\u00e3o e documenta\u00e7\u00e3o de projetos.<\/p>\n\n\n\n
O desafio<\/h4>\n\n\n\n
Quando a colabora\u00e7\u00e3o come\u00e7ou em 2024, a IA generativa era mais uma promessa do que uma pr\u00e1tica. As quest\u00f5es em aberto eram aquelas que todas as empresas do Mittelstand enfrentam: onde \u00e9 que a IA generativa ajuda verdadeiramente no trabalho t\u00e9cnico especializado, como se utiliza de forma respons\u00e1vel e como se constr\u00f3i compet\u00eancia em toda a for\u00e7a de trabalho em vez de a deixar apenas para alguns entusiastas?<\/p>\n\n\n\n
A abordagem<\/h4>\n\n\n\n
lyfX.ai has accompanied the company continuously for over two years \u2014 deliberately not as a one-off training, but as a long-term enablement partnership. It started with practical, hands-on workshops on working with AI assistants: understanding what language models can and cannot do, and applying them directly to the participants’ own tasks. From there, the focus moved to concrete use cases in daily work \u2014 research, drafting reports and proposals, and working with technical documents \u2014 supported by guidance on tool selection and usage guidelines.<\/p>\n\n\n\n
Onde a empresa se encontra hoje<\/h4>\n\n\n\n\n- A maioria dos trabalhadores utiliza assistentes de IA generativa no seu trabalho di\u00e1rio de uma forma ou de outra.<\/li>\n\n\n\n
- Contas individuais de assistentes de IA est\u00e3o a ser implementadas numa parte substancial da for\u00e7a de trabalho, com diretrizes de integra\u00e7\u00e3o e utiliza\u00e7\u00e3o apoiadas por lyfX.ai.<\/li>\n\n\n\n
- The company has created an internal role dedicated 50% to AI \u2014 a significant organizational commitment for a company of 150 people.<\/li>\n<\/ul>\n\n\n\n
Impacto<\/h4>\n\n\n\n
AI transformation is about building lasting competence: people who know when and how to use AI assistants, guidelines that make usage safe and consistent, and an organization that owns the topic itself. Two years in, this company no longer depends on external impulses to use AI \u2014 it has made AI part of how it works.<\/p>\n\n\n\n
Transforma\u00e7\u00e3o de GenAI em toda a empresa<\/h1><\/div>\n<\/div><\/div>\n\n\n\n<\/div>\n\n\n\n<\/div>\n<\/div>\n\n\n\n\nHow a German research and engineering company in salt technology \u2014 around 150 employees \u2014 went from a first AI workshop to company-wide use of generative AI: individual AI assistant accounts for a large part of the workforce, shared usage guidelines, and a newly created internal role dedicated to AI.<\/strong><\/p>\n\n\n\nO cliente<\/h4>\n\n\n\n
O nosso cliente \u00e9 uma empresa alem\u00e3 de m\u00e9dia dimens\u00e3o de investiga\u00e7\u00e3o e engenharia em tecnologia do sal, com cerca de 150 colaboradores a trabalhar nas \u00e1reas de engenharia de processos, an\u00e1lise laboratorial e conce\u00e7\u00e3o de instala\u00e7\u00f5es. Tal como a maioria das empresas de engenharia desta dimens\u00e3o, o seu trabalho di\u00e1rio \u00e9 fortemente baseado em documentos: relat\u00f3rios t\u00e9cnicos, propostas, resumos de investiga\u00e7\u00e3o e documenta\u00e7\u00e3o de projetos.<\/p>\n\n\n\n
O desafio<\/h4>\n\n\n\n
Quando a colabora\u00e7\u00e3o come\u00e7ou em 2024, a IA generativa era mais uma promessa do que uma pr\u00e1tica. As quest\u00f5es em aberto eram aquelas que todas as empresas do Mittelstand enfrentam: onde \u00e9 que a IA generativa ajuda verdadeiramente no trabalho t\u00e9cnico especializado, como se utiliza de forma respons\u00e1vel e como se constr\u00f3i compet\u00eancia em toda a for\u00e7a de trabalho em vez de a deixar apenas para alguns entusiastas?<\/p>\n\n\n\n
A abordagem<\/h4>\n\n\n\n
lyfX.ai has accompanied the company continuously for over two years \u2014 deliberately not as a one-off training, but as a long-term enablement partnership. It started with practical, hands-on workshops on working with AI assistants: understanding what language models can and cannot do, and applying them directly to the participants’ own tasks. From there, the focus moved to concrete use cases in daily work \u2014 research, drafting reports and proposals, and working with technical documents \u2014 supported by guidance on tool selection and usage guidelines.<\/p>\n\n\n\n
Onde a empresa se encontra hoje<\/h4>\n\n\n\n\n- A maioria dos trabalhadores utiliza assistentes de IA generativa no seu trabalho di\u00e1rio de uma forma ou de outra.<\/li>\n\n\n\n
- Contas individuais de assistentes de IA est\u00e3o a ser implementadas numa parte substancial da for\u00e7a de trabalho, com diretrizes de integra\u00e7\u00e3o e utiliza\u00e7\u00e3o apoiadas por lyfX.ai.<\/li>\n\n\n\n
- The company has created an internal role dedicated 50% to AI \u2014 a significant organizational commitment for a company of 150 people.<\/li>\n<\/ul>\n\n\n\n
Impacto<\/h4>\n\n\n\n
AI transformation is about building lasting competence: people who know when and how to use AI assistants, guidelines that make usage safe and consistent, and an organization that owns the topic itself. Two years in, this company no longer depends on external impulses to use AI \u2014 it has made AI part of how it works.<\/p>\n\n\n\n
How a German research and engineering company in salt technology \u2014 around 150 employees \u2014 went from a first AI workshop to company-wide use of generative AI: individual AI assistant accounts for a large part of the workforce, shared usage guidelines, and a newly created internal role dedicated to AI.<\/strong><\/p>\n\n\n\n O nosso cliente \u00e9 uma empresa alem\u00e3 de m\u00e9dia dimens\u00e3o de investiga\u00e7\u00e3o e engenharia em tecnologia do sal, com cerca de 150 colaboradores a trabalhar nas \u00e1reas de engenharia de processos, an\u00e1lise laboratorial e conce\u00e7\u00e3o de instala\u00e7\u00f5es. Tal como a maioria das empresas de engenharia desta dimens\u00e3o, o seu trabalho di\u00e1rio \u00e9 fortemente baseado em documentos: relat\u00f3rios t\u00e9cnicos, propostas, resumos de investiga\u00e7\u00e3o e documenta\u00e7\u00e3o de projetos.<\/p>\n\n\n\n Quando a colabora\u00e7\u00e3o come\u00e7ou em 2024, a IA generativa era mais uma promessa do que uma pr\u00e1tica. As quest\u00f5es em aberto eram aquelas que todas as empresas do Mittelstand enfrentam: onde \u00e9 que a IA generativa ajuda verdadeiramente no trabalho t\u00e9cnico especializado, como se utiliza de forma respons\u00e1vel e como se constr\u00f3i compet\u00eancia em toda a for\u00e7a de trabalho em vez de a deixar apenas para alguns entusiastas?<\/p>\n\n\n\n lyfX.ai has accompanied the company continuously for over two years \u2014 deliberately not as a one-off training, but as a long-term enablement partnership. It started with practical, hands-on workshops on working with AI assistants: understanding what language models can and cannot do, and applying them directly to the participants’ own tasks. From there, the focus moved to concrete use cases in daily work \u2014 research, drafting reports and proposals, and working with technical documents \u2014 supported by guidance on tool selection and usage guidelines.<\/p>\n\n\n\n AI transformation is about building lasting competence: people who know when and how to use AI assistants, guidelines that make usage safe and consistent, and an organization that owns the topic itself. Two years in, this company no longer depends on external impulses to use AI \u2014 it has made AI part of how it works.<\/p>\n\n\n\nO cliente<\/h4>\n\n\n\n
O desafio<\/h4>\n\n\n\n
A abordagem<\/h4>\n\n\n\n
Onde a empresa se encontra hoje<\/h4>\n\n\n\n
\n
Impacto<\/h4>\n\n\n\n