Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
A European leader in IT solutions with 5,000 specialists across 30 countries, delivering highly customized software for tens of thousands of enterprise clients, including Allianz, BNP Paribas, Orange, and T-Mobile, across six continents.
Complex delivery projects involving migration, re-platforming, and custom builds routinely stretched over months or years. With a leadership goal of...
“Humans work with joy throughout the day. Factory finishes the work, which is then picked up by the human the next morning.”
Enterprise software and IT services provider for telecom, finance, and retail.
AI software development agents for automating engineering workflows.
Comarch's Software delivery is part of this use case:
Related implementations across industries and use cases
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Builds dragged for months, stopping each night when teams logged off. Now agents run the night shift, leaving finished code by morning.
A European leader in IT solutions with 5,000 specialists across 30 countries, delivering highly customized software for tens of thousands of enterprise clients, including Allianz, BNP Paribas, Orange, and T-Mobile, across six continents.
Complex delivery projects involving migration, re-platforming, and custom builds routinely stretched over months or years. With a leadership goal of...
“Humans work with joy throughout the day. Factory finishes the work, which is then picked up by the human the next morning.”
Enterprise software and IT services provider for telecom, finance, and retail.
AI software development agents for automating engineering workflows.
Comarch's Software delivery is part of this use case:
Related implementations across industries and use cases
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Technical debt in large codebases hindered velocity. Now, AI handles execution-heavy updates while engineers retain merge approval.
Refactoring hundreds of decentralized codebases took days. Now, an AI agent writes and submits code in minutes for human review.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.