solita

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1. 11/2/2026

   Updated: best for, features, integrations, limitations, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Organizations in regulated markets and industries with complex system integrations such as mobility, financial, retail, health, industrial, defence & security, and public sector."]

   After: ["Organizations in regulated markets and industries with critical systems and complex integrations","Companies seeking to leverage AI and data for digital transformation and productivity improvements"]

   features

   Before: ["AI and data services including artificial intelligence, generative AI, structural AI, and visual analytics.","Cloud services including cloud migration, platform engineering, managed cloud services, and lifecycle services."]

   After: ["Data and AI strategy development","Agile coaching and change management","Modern software development","Cloud services including migration, transformation, and managed services","Integration services and API management"]

   integrations

   Before: ["Partners include Microsoft Azure, Google Cloud, Amazon Web Services, Semarchy, Snowflake, MuleSoft API & integration solutions, Databricks, and dbt."]

   After: ["Partners include Microsoft Azure, Google Cloud, Amazon Web Services, Semarchy, Snowflake, MuleSoft, Databricks, and dbt"]

   limitations

   Before: []

   After: ["AI initiatives may exist but value creation does not scale without proper strategy and integration","Systems may not be wired for AI agents, requiring modernization and integration"]

   summary

   Before: "Solita is a technology and consulting company specializing in digital solutions through expertise in design, strategy, data, AI, and software development. It operates in multiple countries with over 2200 experts and focuses on regulated markets and complex integrations."

   After: "Solita is a technology and consulting company specializing in digital solutions through expertise in design, strategy, data, AI, and software development. It operates in multiple countries with over 2200 experts and focuses on regulated markets, critical systems, and complex integrations."

   useCases

   Before: ["Developing data and AI strategies aligned with business objectives to boost productivity and efficiency in industries such as construction.","Enhancing predictive maintenance capabilities and streamlining adverse drug reaction reporting using AI applications."]

   After: ["Developing data and AI strategies aligned with business objectives to boost productivity","Enhancing predictive maintenance capabilities using AI"]

   walkthrough

   Before: ["Engage employees through surveys and workshops to increase AI literacy and foster a data-driven culture as part of AI strategy development.","Use a structured data and AI strategy framework to create scenarios, define target positions, identify opportunities, and formulate visions and actions."]

   After: ["Engage organization widely to increase AI literacy and foster a data-driven culture through surveys, workshops, and leadership involvement","Develop a clear and inspiring data and AI vision aligned with business strategy and objectives","Define concrete next-step actions integrated with business OKRs and annual planning to ensure measurable outcomes"]

2. 9/14/2026

   Updated: best for, features, integrations, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Organizations in regulated markets and critical systems requiring complex integrations and AI-driven digital transformation."]

   After: ["Organizations in regulated markets and industries with complex system integrations such as mobility, financial, retail, health, industrial, defence & security, and public sector."]

   features

   Before: ["Data and AI strategy development including vision creation, prioritization of business value opportunities, and actionable roadmaps.","AI and data services including artificial intelligence, generative AI, structural AI, and sustainable AI.","Software development services including service design, UX design, modern software development, mobile services, low-code development, and quality assurance.","Cloud services including cloud migration, managed cloud services, platform engineering, and DevOps.","Integration services including API management and business process management."]

   After: ["AI and data services including artificial intelligence, generative AI, structural AI, and visual analytics.","Cloud services including cloud migration, platform engineering, managed cloud services, and lifecycle services."]

   integrations

   Before: []

   After: ["Partners include Microsoft Azure, Google Cloud, Amazon Web Services, Semarchy, Snowflake, MuleSoft API & integration solutions, Databricks, and dbt."]

   summary

   Before: "Developing data and AI strategies aligned with business objectives to boost productivity and efficiency. Data and AI strategy development including vision creation, prioritization of business value opportunities, and actionable roadmaps. AI and data services including artificial intelligence, generative AI, structural AI, and sustainable AI."

   After: "Solita is a technology and consulting company specializing in digital solutions through expertise in design, strategy, data, AI, and software development. It operates in multiple countries with over 2200 experts and focuses on regulated markets and complex integrations."

   useCases

   Before: ["Developing data and AI strategies aligned with business objectives to boost productivity and efficiency."]

   After: ["Developing data and AI strategies aligned with business objectives to boost productivity and efficiency in industries such as construction.","Enhancing predictive maintenance capabilities and streamlining adverse drug reaction reporting using AI applications."]

   walkthrough

   Before: ["Engage organization-wide through surveys, workshops, and interviews to increase AI literacy and foster a data-driven culture.","Develop multiple future scenarios and define target positions in the AI ecosystem to identify and prioritize business value opportunities.","Formulate a clear data and AI vision and define concrete next-step actions integrated with business OKRs and annual planning."]

   After: ["Engage employees through surveys and workshops to increase AI literacy and foster a data-driven culture as part of AI strategy development.","Use a structured data and AI strategy framework to create scenarios, define target positions, identify opportunities, and formulate visions and actions."]