[{"data":1,"prerenderedAt":634},["ShallowReactive",2],{"page:\u002Fen\u002Fcase-studies":3,"site-config:en":17,"articles:\u002Fen\u002Fcase-studies":97},{"id":4,"title":5,"body":6,"capabilities":6,"claims":6,"contact":6,"coreAnimation":6,"coreGraph":6,"coreTeaser":6,"description":7,"extension":8,"faq":6,"featureRow":6,"focusStage":6,"form":6,"header":9,"industryPackage":6,"industryTeaser":6,"meta":11,"name":6,"navigation":12,"note":6,"path":13,"sections":6,"seo":14,"stem":15,"summary":6,"__hash__":16},"pages\u002Fen\u002F03.case-studies.yml","Case Studies",null,"Our case studies show how companies have worked with evoliq to turn complex challenges into working AI solutions.","yml",{"eyebrow":10,"title":5,"description":7},"Insights",{},true,"\u002Fen\u002Fcase-studies",{"title":5,"description":7},"en\u002F03.case-studies","BR1xW647OEiBTn3nwxR1jss1y_RUcd8vGbhyFxPkx44",{"id":18,"title":19,"cta":20,"description":27,"error":28,"extension":8,"footer":34,"labels":58,"locale":85,"logo":86,"meta":88,"navigation":89,"stem":95,"__hash__":96},"site\u002Fen\u002F00.site.yml","evoliq",{"eyebrow":21,"title":22,"description":23,"link":24},"Your next idea","What would you like\nto achieve with AI?","Get to know evoliq. Talk to us about your field and the tasks you would like to tackle with evoliq.",{"label":25,"to":26},"Get in touch","\u002Fen\u002Fcontact","evoliq. Your company AI.",{"title":29,"description":30,"link":31},"This page is unavailable.","Return to evoliq via the homepage.",{"label":32,"to":33},"Back to home","\u002Fen",{"navigation":35,"legal":51},[36,39,42,44,47],{"label":37,"to":38},"Core","\u002Fen\u002Fcore",{"label":40,"to":41},"Industries","\u002Fen\u002Findustries",{"label":43,"to":26},"Contact",{"label":45,"to":46},"Blog","\u002Fen\u002Fcompass",{"label":48,"to":49,"target":50},"LinkedIn","https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fphilippbettinger","_blank",[52,55],{"label":53,"to":54},"Privacy","\u002Fen\u002Fpolicies\u002Fprivacy",{"label":56,"to":57},"Legal notice","\u002Fen\u002Fpolicies\u002Fimprint",{"toc":59,"share":60,"shareNetworks":61,"skip":71,"home":72,"navigation":73,"mobileNavigation":74,"openNavigation":75,"closeNavigation":76,"footer":77,"industries":78,"industrySelection":79,"pageContents":80,"readArticle":81,"backBlog":82,"backCases":83,"readingTime":84},"In this article","Share article",[62,65,68],{"label":48,"url":63,"icon":64},"https:\u002F\u002Fwww.linkedin.com\u002Fsharing\u002Fshare-offsite\u002F?url=","i-lucide-arrow-up-right",{"label":66,"url":67,"icon":64},"Facebook","https:\u002F\u002Fwww.facebook.com\u002Fsharer\u002Fsharer.php?u=",{"label":69,"url":70,"icon":64},"X","https:\u002F\u002Ftwitter.com\u002Fintent\u002Ftweet?url=","Skip to content","evoliq – Home","Main navigation","Mobile main navigation","Open menu","Close menu","Further information","Industries at a glance","Choose an industry","Jump to","Read article","All articles","All case studies","min read","en",{"src":87,"alt":19},"\u002Fimg\u002Flogo\u002Fevoliq-logo-text-q-black.svg",{},[90,92,93,94],{"label":91,"to":33},"Home",{"label":37,"to":38},{"label":40,"to":41},{"label":43,"to":26},"en\u002F00.site","ez4KORo7VvsdIYBA0TnUVvAgGEYE4ZA7nOohurtFidE",[98,432],{"id":99,"title":100,"author":101,"badge":107,"body":110,"date":411,"description":412,"extension":393,"image":413,"meta":415,"navigation":12,"path":423,"readingTime":424,"seo":429,"stem":430,"__hash__":431},"articles\u002Fen\u002Fcase-studies\u002F01.how-ai-redefines-contract-work-in-property-management.md","How AI redefines contract work in property management",[102],{"name":103,"linkedIn":49,"description":104,"avatar":105},"Philipp Bettinger","I believe in AI solutions that solve specific challenges and work in everyday practice. If you would like to explore what that could mean for your company, I would be happy to talk.",{"src":106},"\u002Fimg\u002Fevoliq-philipp-bettinger.png",{"label":108,"color":109},"Case Study","neutral",{"type":111,"value":112,"toc":395},"minimark",[113,118,122,125,128,137,141,144,150,166,171,174,177,181,214,221,225,229,255,259,262,265,269,277,281,284,287,290,294,297,301,305,331,335,342,368,371],[114,115,117],"h2",{"id":116},"starting-point","Starting point",[119,120,121],"p",{},"Large property management companies often manage hundreds or even thousands of complex lease agreements. These agreements, including annexes and amendments, form the basis for property management work and communication with tenants.",[119,123,124],{},"Yet these documents are often available only on paper or as unstructured scans. This makes efficient use much harder, leading to substantial time expenditure, low tenant satisfaction, errors and increased operating costs.",[119,126,127],{},"A property management company operating across Europe faced exactly this challenge. Its central question was:",[129,130,131],"blockquote",{},[119,132,133],{},[134,135,136],"strong",{},"Can the AI solutions available today significantly improve the efficiency of our property managers, without a structured data foundation and without compromising privacy or security?",[114,138,140],{"id":139},"from-the-challenge-to-a-tailored-solution","From the challenge to a tailored solution",[119,142,143],{},"The market offered no suitable standard solution to efficiently digitise and make use of the many individual, complex lease agreements, often available only as scans.",[119,145,146,149],{},[134,147,148],{},"evoliq's role was to make a tailored solution possible and implement it as a strategic and technical partner."," From the initial idea to a production application, we supported the company through all the decisive steps:",[151,152,153,157,160,163],"ol",{},[154,155,156],"li",{},"Analysis of processes, available data and organisational conditions",[154,158,159],{},"Identification of specific, immediately achievable use cases with high value",[154,161,162],{},"Development of a functional prototype (MVP)",[154,164,165],{},"Agile development following the “Build – Measure – Learn” principle",[167,168,170],"h3",{"id":169},"implementation-focused-on-users-and-partnership","Implementation: focused on users and partnership",[119,172,173],{},"Close collaboration with the business team and the company's openness to innovative approaches were key success factors.",[119,175,176],{},"Future users, particularly property managers, were actively involved from the start. Prototype testing phases, short feedback cycles and a consistent focus on real everyday work produced a solution with broad acceptance and high value in production.",[167,178,180],{"id":179},"key-functions-of-ai-supported-contract-management","Key functions of AI-supported contract management",[182,183,184,190,196,202,208],"ul",{},[154,185,186,189],{},[134,187,188],{},"Hierarchical data organisation:"," Management by administrative units, buildings and tenants, including straightforward navigation and search.",[154,191,192,195],{},[134,193,194],{},"Generative AI for automated interactions:"," Employees can work with contracts through chat, request relevant information and generate automated summaries.",[154,197,198,201],{},[134,199,200],{},"Optimised OCR technology:"," Documents are automatically digitised, made machine-readable and provided to subsequent workflows through a database.",[154,203,204,207],{},[134,205,206],{},"Mobile access from any location:"," A responsive, user-friendly interface supports the mobile ways of working of property managers.",[154,209,210,213],{},[134,211,212],{},"Private cloud infrastructure:"," Sensitive contract data remains protected within the customer's own private cloud in compliance with privacy requirements.",[215,216],"content-screenshot",{"alt":217,"height":218,"src":219,"width":220},"Original German application screenshot: AI functions and document chat",461,"\u002Fimg\u002Fcase-studies\u002F2025\u002F04\u002F09-evoliq-agentic-PM-tenant-copilot-start.png",800,[215,222],{"alt":223,"height":218,"src":224,"width":220},"Original German application screenshot: property management copilot","\u002Fimg\u002Fcase-studies\u002F2025\u002F04\u002F10-evoliq-agentic-PM-tenant-copilot.png",[114,226,228],{"id":227},"results-and-benefits-at-a-glance","Results and benefits at a glance",[182,230,231,237,243,249],{},[154,232,233,236],{},[134,234,235],{},"Up to 70% less effort"," in key work processes and routine tasks, particularly information searches and contract analysis.",[154,238,239,242],{},[134,240,241],{},"Contracts are actively used:"," Contract information is available on mobile devices at any time, whether at an on-site appointment or on the phone, and immediately usable in the current context.",[154,244,245,248],{},[134,246,247],{},"Better decisions, higher quality:"," All contract data is accessible at any time, improving tenant communication, increasing service quality and reducing errors.",[154,250,251,254],{},[134,252,253],{},"More focus, less overload in everyday work:"," Employees experience tangible relief, reducing chronic overload and increasing satisfaction.",[114,256,258],{"id":257},"transferability-to-other-industries","Transferability to other industries",[119,260,261],{},"The evoliq solution was developed specifically for real estate, but its underlying principle applies across industries: wherever complex, often unstructured contracts or documents need to be made efficiently usable.",[119,263,264],{},"Successful tests with industry-specific document types show strong potential for further applications:",[266,267],"content-accordion",{":items":268},"[{\"label\": \"Insurance\", \"content\": \"Policies, amendments and claims files are often available as unstructured PDFs or scanned documents. \u003Cspan class='mt-3 block font-bold'>Potential:\u003C\u002Fspan> Automated structuring, contract summaries, more efficient claims handling and faster access to answers.\"}, {\"label\": \"Energy and infrastructure companies\", \"content\": \"Long-term supply contracts, concession agreements and investment documents often remain relevant for years and are difficult to search. \u003Cspan class='mt-3 block font-bold'>Potential:\u003C\u002Fspan> Deadline management, audit-compliant archiving and AI-supported queries for regulatory and compliance processes.\"}, {\"label\": \"Public administration\", \"content\": \"Local and regional authorities face the challenge of making paper archives digitally usable. \u003Cspan class='mt-3 block font-bold'>Potential:\u003C\u002Fspan> Faster research in historical construction and property records, structured capture for e-government processes and lower archive transformation costs.\"}]",[129,270,271],{},[119,272,273,276],{},[134,274,275],{},"Conclusion:"," evoliq's approach can be applied across industries wherever document-based processes are held back by manual work, lengthy searches or a lack of transparency.",[114,278,280],{"id":279},"privacy-and-integration-with-existing-infrastructure","Privacy and integration with existing infrastructure",[119,282,283],{},"A central project requirement was full integration into the customer's existing Microsoft Azure-based private cloud infrastructure.",[119,285,286],{},"This approach met demanding privacy and compliance requirements, making it substantially easier to implement contract management supported by generative AI models (LLMs).",[119,288,289],{},"It also enabled a high degree of flexibility in adapting to internal processes and an optimal mobile user experience.",[114,291,293],{"id":292},"technology-modular-scalable-and-controlled","Technology: modular, scalable and controlled",[119,295,296],{},"The technological foundation combines modern web technologies with tailored AI components developed specifically for contract management in property management.",[298,299],"content-techstack-logos",{":items":300},"[{\"label\": \"Microsoft Azure\", \"src\": \"\u002Fimg\u002Ftechstack\u002Fmicrosoft-azure-logo-blue.png\"}, {\"label\": \"Azure OpenAI\", \"src\": \"\u002Fimg\u002Ftechstack\u002Fopenai-logo-black.png\"}, {\"label\": \"FastAPI\", \"src\": \"\u002Fimg\u002Ftechstack\u002Ffastapi-logo-teal.png\"}, {\"label\": \"MongoDB\", \"src\": \"\u002Fimg\u002Ftechstack\u002Fmongodb-logo-green.png\"}, {\"label\": \"Elasticsearch\", \"src\": \"\u002Fimg\u002Ftechstack\u002Felasticsearch-logo-black.png\"}, {\"label\": \"Nuxt.js\", \"src\": \"\u002Fimg\u002Ftechstack\u002Fnuxt-logo-green-black.png\"}]",[167,302,304],{"id":303},"technology-stack","Technology stack",[182,306,307,313,319,325],{},[154,308,309,312],{},[134,310,311],{},"Frontend:"," A progressive web application based on Nuxt (Vue.js) makes further development straightforward and provides a performant, mobile-optimised interface for all devices.",[154,314,315,318],{},[134,316,317],{},"Backend and storage:"," All server-side components and APIs use Python and FastAPI. MongoDB provides data and object storage, while Elasticsearch's vector storage functions form the foundation of RAG workflows.",[154,320,321,324],{},[134,322,323],{},"Generative AI:"," OpenAI chat and embedding models from Azure OpenAI Services support RAG workflows and AI agents that meet compliance and privacy requirements, with demanding expectations for LLM precision and performance. The models were integrated using the LangChain framework.",[154,326,327,330],{},[134,328,329],{},"OCR component:"," Tesseract OCR with a specially trained model provides precise recognition of legal contract documents originating from scanned paper agreements.",[167,332,334],{"id":333},"reliable-ai-agents-through-guardrails","Reliable AI agents through guardrails",[119,336,337,338,341],{},"Reliable AI answers were a priority from the start. Large language models used generically without appropriate rules can hallucinate and provide speculative answers. The AI agents here are secured through a multi-stage ",[134,339,340],{},"guardrail concept",":",[182,343,344,350,356,362],{},[154,345,346,349],{},[134,347,348],{},"Answers grounded in data:"," Answers that are not based on the extracted data of the relevant contracts are not permitted. Interpretation, invented additions and model-generated assumptions are prevented.",[154,351,352,355],{},[134,353,354],{},"Explicit answer logic:"," If information is missing or ambiguous, agents state this transparently: “This information is not contained in the contract.” This avoids an illusion of knowledge.",[154,357,358,361],{},[134,359,360],{},"Auditability:"," Every answer is traceable and based on clearly documented sources within the platform. Original passages from source documents are included as references in the answers generated for users.",[154,363,364,367],{},[134,365,366],{},"Monitoring and improvement:"," Regular review of generated answers and continuous collection of user feedback improve the system and allow errors in the underlying data to be corrected.",[119,369,370],{},"This helps prevent incorrect AI answers from leading to wrong decisions or misunderstandings of information relevant to liability.",[372,373,374,381],"content-card-cta",{},[375,376,378],"template",{"v-slot:title":377},"",[119,379,380],{},"Do you have ideas for how AI could help your company?",[375,382,383,386],{"v-slot:description":377},[119,384,385],{},"Book a free, no-obligation introductory conversation and let us explore which hidden data resources in your company could become usable through AI.",[387,388],"u-button",{"className":389,"color":109,"icon":391,"label":392,"size":393,"to":26,"variant":394},[390],"mt-3","i-lucide-arrow-right","Book a meeting","md","solid",{"title":377,"searchDepth":396,"depth":396,"links":397},2,[398,399,404,405,406,407],{"id":116,"depth":396,"text":117},{"id":139,"depth":396,"text":140,"children":400},[401,403],{"id":169,"depth":402,"text":170},3,{"id":179,"depth":402,"text":180},{"id":227,"depth":396,"text":228},{"id":257,"depth":396,"text":258},{"id":279,"depth":396,"text":280},{"id":292,"depth":396,"text":293,"children":408},[409,410],{"id":303,"depth":402,"text":304},{"id":333,"depth":402,"text":334},"2025-04-17","This case study shows how a custom AI-supported software solution in property management delivers measurable efficiency, better decisions and more satisfied employees.",{"src":414},"\u002Fimg\u002Fcase-studies\u002F2025\u002F04\u002Fcase-study-ki-im-property-management.png",{"insightType":416,"featuredMetric":418,"industrySlug":421,"solutionSlug":422},{"value":417,"label":108},"case-study",{"value":419,"label":420},"-70%","less effort in key processes","real-estate","document-intelligence","\u002Fen\u002Fcase-studies\u002Fhow-ai-redefines-contract-work-in-property-management",{"text":425,"minutes":426,"time":427,"words":428},"5 min read",4.36,261600,872,{"title":100,"description":412},"en\u002Fcase-studies\u002F01.how-ai-redefines-contract-work-in-property-management","aBvkAzwJGZ07CeAhY8-iW0xp50PqWmh0sXAVaSD33CI",{"id":433,"title":434,"author":435,"badge":438,"body":439,"date":615,"description":616,"extension":393,"image":617,"meta":619,"navigation":12,"path":625,"readingTime":626,"seo":631,"stem":632,"__hash__":633},"articles\u002Fen\u002Fcase-studies\u002F02.getting-started-with-ai-development-a-workshop-for-targeted-llm-use.md","Getting started with AI development – how a workshop laid the foundation for targeted LLM use",[436],{"name":103,"linkedIn":49,"description":104,"avatar":437},{"src":106},{"label":108,"color":109},{"type":111,"value":440,"toc":608},[441,443,453,456,460,463,478,483,503,506,510,520,523,541,545,560,565,579,583,586,595],[114,442,117],{"id":116},[119,444,445,448,449,452],{},[134,446,447],{},"BRIEM Steuerungstechnik GmbH"," develops sophisticated monitoring solutions for cleanrooms and laboratories, as well as high-quality measurement technology for ventilation and air conditioning. Internal innovation initiatives raised the question of what role ",[134,450,451],{},"generative AI"," could play in the future, particularly in user-focused applications.",[119,454,455],{},"The aim was to develop a shared understanding: how can generative AI be integrated into product strategy and system architecture? And which knowledge and technical foundations does the team need to have or develop?",[114,457,459],{"id":458},"the-workshop-compact-focused-and-practical","The workshop: compact, focused and practical",[119,461,462],{},"In a one-day workshop with evoliq, BRIEM's product and development teams received a structured introduction to generative AI, working with large language models and integrating them into software development.",[119,464,465,466,469,470,473,474,477],{},"The workshop was designed to convey ",[134,467,468],{},"technical relevance",", highlight ",[134,471,472],{},"specific pitfalls"," and create a ",[134,475,476],{},"connection to the company's everyday work",".",[119,479,480],{},[134,481,482],{},"The following topics were covered during the day:",[151,484,485,488,491,494,497,500],{},[154,486,487],{},"Context: where are we with generative AI today?",[154,489,490],{},"Foundations: what are LLMs, how do they work and where are their limits?",[154,492,493],{},"Concepts: what are AI agents and agent-based architectures?",[154,495,496],{},"Challenges: data security, privacy and infrastructure",[154,498,499],{},"Technologies and frameworks: what options are available to development teams?",[154,501,502],{},"Application: developing ideas for an AI-supported prototype to help users and technical support at BRIEM",[119,504,505],{},"The content was discussed, questioned and developed together on equal terms, bringing technology consulting, software practice and product understanding together.",[114,507,509],{"id":508},"results-clarity-direction-and-concrete-next-steps","Results: clarity, direction and concrete next steps",[119,511,512,513,516,517,477],{},"By the end of the day, BRIEM had more than a better understanding: it had ",[134,514,515],{},"a shared knowledge foundation within the team",", an initial concept for a potential AI prototype and a clear assessment of ",[134,518,519],{},"what is possible and what is not",[119,521,522],{},"Developers could begin technical evaluation immediately, product managers had tangible ideas for added value, and business teams understood the prerequisites for production use.",[129,524,525,530],{},[119,526,527],{},[134,528,529],{},"What can otherwise take weeks became clear within a few hours:",[182,531,532,535,538],{},[154,533,534],{},"Which technologies make sense",[154,536,537],{},"Where risks need attention",[154,539,540],{},"Where concrete value can arise in practice",[114,542,544],{"id":543},"why-a-workshop-is-the-right-starting-point","Why a workshop is the right starting point",[119,546,547,548,551,552,555,556,559],{},"A well-structured workshop gives companies space to gain ",[134,549,550],{},"clarity about technology, applications and next steps"," without prior knowledge. Especially when initial experience with generative AI is missing, the format helps develop ",[134,553,554],{},"realistic expectations"," and explore ",[134,557,558],{},"concrete options"," together.",[119,561,562],{},[134,563,564],{},"The benefits can be measured:",[182,566,567,570,573,576],{},[154,568,569],{},"Less uncertainty",[154,571,572],{},"Faster decisions",[154,574,575],{},"Better communication between business teams and development",[154,577,578],{},"Lower project planning risk",[114,580,582],{"id":581},"conclusion","Conclusion",[119,584,585],{},"evoliq's workshop format shows that a sound starting point need not be complex or time-consuming. What matters is the right setting, the right questions and a partner who understands the language of both technology and the business.",[119,587,588,590,591,594],{},[134,589,19],{}," provides companies with access to AI knowledge alongside ",[134,592,593],{},"structure, direction and technical implementation expertise",", tailored to what they actually need to get started with AI.",[372,596,597,601],{},[375,598,599],{"v-slot:title":377},[119,600,380],{},[375,602,603,605],{"v-slot:description":377},[119,604,385],{},[387,606],{"className":607,"color":109,"icon":391,"label":392,"size":393,"to":26,"variant":394},[390],{"title":377,"searchDepth":396,"depth":396,"links":609},[610,611,612,613,614],{"id":116,"depth":396,"text":117},{"id":458,"depth":396,"text":459},{"id":508,"depth":396,"text":509},{"id":543,"depth":396,"text":544},{"id":581,"depth":396,"text":582},"2025-04-16","This case study shows how BRIEM Steuerungstechnik GmbH used a compact workshop with evoliq to establish a foundation for generative AI in its own software development and technical support, and develop its first concrete ideas for using LLMs.",{"src":618},"\u002Fimg\u002Fcase-studies\u002F2025\u002F04\u002Fcase-study-workshop-grundlage-einstieg-KI-entwicklung.png",{"insightType":620,"featuredMetric":621,"industrySlug":624},{"value":417,"label":108},{"value":622,"label":623},"1 day","to prioritised LLM use cases","manufacturing","\u002Fen\u002Fcase-studies\u002Fgetting-started-with-ai-development-a-workshop-for-targeted-llm-use",{"text":627,"minutes":628,"time":629,"words":630},"3 min read",2.25,135000,450,{"title":434,"description":616},"en\u002Fcase-studies\u002F02.getting-started-with-ai-development-a-workshop-for-targeted-llm-use","Mg09_cDASWYm0X3hCmME1C1aX5BQTfxV5DmV1YbXa78",1791899718828]