AI-Powered Innovation, Secured for Your Enterprise

A global automotive supplier struggled with inefficient knowledge sharing due to information scattered across systems, leading to delays and inconsistent support. Low user adoption and accuracy concerns hampered existing knowledge base usability.

Deployed an AI-powered knowledge assistant integrated directly into employee workflows via Microsoft Teams. The system uses Natural Language Processing (NLP) and vector search for contextual understanding, allowing users to ask questions naturally and receive accurate information quickly. Secure, role-based permissions ensure data governance.

Leveraged conversational AI interfaces, semantic search, vector indexing, secure authentication, and Microsoft Teams integration. Resulted in significant improvements in information retrieval speed, knowledge base accuracy, user adoption rates, and overall support consistency.

A leading manufacturer faced bottlenecks in their lamination process due to extensive manual adjustments, leading to high rejection rates and decreased efficiency. Manual inventory management added further strain.

Introduced AI-driven solutions including predictive machine parameter optimization using machine learning to correlate settings with quality outcomes, intelligent production sequencing, and AI-powered smart inventory management.

Employed Machine Learning, Predictive Analytics, AI-powered logistics optimization. Resulted in significant reductions in product rejection rates (up to 20%), decreased machine setup times (up to 30%), improved product consistency, and streamlined logistics.

A logistics provider faced scaling issues due to highly manual pricing and quotation workflows, resulting in slow email monitoring, complex calculations, and limited response capacity impacting customer satisfaction.

Implemented an AI-powered system automating the processing of incoming email requests, integrating carrier rate data, and generating accurate pricing proposals automatically.

Leveraged AI email processing, automated pricing engines, and smart proposal generation integrated with carrier systems. Achieved a significant increase (2x) in quote processing capacity and a substantial reduction (40%) in quote generation time.

A network equipment distributor experienced inefficiencies in sales (slow response times, inconsistent proposals) and sourcing (lack of information, inefficient follow-up, manual reporting). Duplicate orders and administrative overhead were significant issues.

Deployed AI solutions to automate customer responses regarding product availability/catalog information, automatically process incoming customer emails, ensure proposal consistency, and streamline sourcing workflows by identifying information gaps and reducing manual reporting.

Utilized AI for automated email processing, response generation, data consistency checks, and workflow automation. Resulted in improved sales response times, increased sales quality, better indicator visibility, and reduced administrative burden in sourcing.

A managed service provider faced inefficiency in their support process due to manual ticket creation, incomplete information, and disconnected communication channels leading to delays and user frustration.

Implemented an AI-powered support chatbot directly integrated with the existing ticketing system (e.g., ServiceNow, Remedy) and Microsoft Teams. The chatbot intelligently gathers necessary information from users and automates request workflows.

Employed AI-powered chatbots, ticketing system integration, Microsoft Teams integration, and intelligent conversation flow management. Resulted in significant reductions in ticket resolution time (40%), improvements in first-time resolution rates (25%), and increased overall service efficiency (30%).

An IT service provider struggled with managing a vast knowledge base spread across SharePoint and various document formats, leading to retrieval delays and inconsistent service delivery by technical teams.

Introduced an AI-powered knowledge assistant capable of processing multiple document formats and offering Natural Language Processing (NLP) search capabilities, seamlessly integrated with SharePoint.

Utilized AI-powered knowledge assistants, Natural Language Processing (NLP), SharePoint integration, and multi-format document processing. Achieved considerable reduction in information retrieval time (35%) and improvement in service consistency rates (20%).

A growing dental healthcare network faced high telemarketing costs, inconsistent patient communication, and lengthy lead response times impacting the patient experience before the first appointment.

Introduced an AI-driven patient acquisition system automating lead management using AI-powered scoring, standardizing communication protocols across locations, and optimizing patient routing.

Utilized AI-powered lead scoring, automated communication systems, and process standardization. Achieved significant improvements in lead response times (<48h), potential for substantial annual cost reduction (€600k), and increased conversion rates (10%).

A technology company transitioning development workflows sought to overcome slowdowns caused by manual code reviews, limited test coverage, and inconsistent documentation practices.

Implemented a comprehensive AI-powered development suite featuring tools for automated code generation, automated security scanning integrated into the pipeline, intelligent test case generation, and smart documentation systems.

Employed AI code generation tools, automated security scanning, intelligent test generation, and smart documentation systems. Resulted in faster code delivery cycles (25% improvement), significant increases in test coverage, and measurable reductions in security vulnerabilities.

A polytechnic university required more efficient and accurate monitoring of the financial execution and results tracking for complex funded projects (e.g., co-promotion, PRRs, European alliances).

Developed AI-driven tools to automate the monitoring of financial execution, track project milestones against funding requirements, and provide simplified dashboards for easier oversight.

Utilized AI for data aggregation, automated reporting, and dashboard creation focused on financial tracking of complex academic projects. This resulted in a 65% reduction in manual reporting time, 40% improvement in budget utilization, and a 30% increase in successful grant applications.

The institution needed better tools to understand student progress, identify potential dropout risks early, and analyze factors contributing to academic success or failure, based on available (potentially raw) data.

Applied machine learning techniques to analyze historical and current student data, identify patterns correlating with success or risk, and build predictive models to forecast trends and inform intervention strategies. Provided access to raw data insights via dashboards for qualitative analysis.

Employed Machine Learning for predictive modeling, trend analysis, and data visualization applied to student success metrics. The institution saw a 28% reduction in dropout rates, 37% improvement in at-risk student interventions, and 18% increase in student satisfaction scores.

A custom woodworking company required faster, more accurate quoting for complex projects and needed to efficiently analyze technical drawings (BAMs) for production planning.

Developed an AI system to automate the consultation of non-standard prices, generate provisioning lists, analyze technical drawings linked to bill-of-materials (BAMs) for automated balizing, and provide rapid budgeting for express orders.

Utilized AI for data extraction, cost analysis, automated document generation, and drawing analysis. Led to 75% faster quoting process, 32% more accurate cost projections, and 52% reduction in pre-production planning time.

Internal teams faced time-consuming tasks related to QA testing, documentation creation based on templates, and repetitive content generation (like code snippets or reports).

Deployed AI tools to automate QA test creation and execution (targeting significant automation coverage), generate standardized documents automatically from templates ensuring process compliance, and create agents for automating repetitive content/code generation. Also implemented AI for intelligent processing (categorization, prioritization, suggested responses) of internal requests/emails.

Leveraged AI for test automation, document generation, code generation, and intelligent email/request processing. Achieved 70% reduction in QA cycle time, 45% improvement in documentation accuracy and consistency, 60% faster content generation with 35% fewer errors, and 50% more efficient handling of internal communications.