Internal Engineering · internal
In-house
152 verified customer use cases (77% with quantified ROI · Avg Value Score 80.3 · 92% with mapped architecture components).
- Verified stories
- 152
- Quantified ROI
- 77%
- Avg value score
- 80.3
- Industries served
- 16
- Distinct products
- 472
In-house Sample Jun 11, 2026 Telefónica Telefónica needed to simplify complex processes, reduce repetitive non-value-added work, unify data, accelerate decision-making, improve customer communications, and operate network and service functions more… 12 of which are at Level 4 Artificial intelligence · Autonomous Network Journey (ANJ) · advanced analytics In-house Sample Jun 3, 2026 Urban-Transporte Warehouse staff handling KION spare parts orders faced intense end-of-day workload peaks because containers could not be closed until it was clear whether customers would add more items before the shipping cutoff,… accuracy rate of around 96% Extreme Gradient Boosting (XGBoost) In-house Sample Jun 2, 2026 Microsoft Microsoft's quantum program had to improve qubit reliability and speed while coordinating software, architecture, materials, fabrication, and measurement work across large, siloed datasets and globally distributed… 1,000-fold improvement in reliability Microsoft Discovery In-house Sample May 15, 2026 Unilever Foods Unilever Foods needed to keep brands visible in AI-driven search, accelerate food innovation as trends move faster, and deliver tailored recommendations to foodservice operators using real operational context rather… 10-position boost in visibility rankings AI search visibility platforms · AI-powered product development · UFS digital experience In-house Sample May 14, 2026 Eni Users and stakeholders needed a quicker, easier way to access official information and data across eni.com without relying on manual search or traditional browsing. EnergIA In-house Sample May 12, 2026 Cohesity Cohesity needed to reduce friction in enterprise support by replacing manual forms, portal navigation, and low-context case intake that slowed diagnosis and increased customer effort during business-critical incidents. approximately 50% of interactions resolved by customers themselves without ever needing to open a case Cohesity NetBackup · Entitlement management system (VEMS) · NextGen Support Portal In-house Sample May 12, 2026 Deutsche Bank Deutsche Bank needed to review third-party vendors' documentary evidence against its control framework and regulatory expectations faster without removing expert judgement, because onboarding and periodic reviews… A manual review would typically take around 30 minutes per evidence document. TPRM AI In-house Sample May 12, 2026 Mercedes-Benz Group Mercedes-Benz needed to move AI-powered automation from isolated pilot projects into secure, governed day-to-day business processes across functions including development, production, sales, financial services, human… More than 1,500 employees developed AI and automation applications at a company-wide hackathon. n8n In-house Sample May 8, 2026 Garanti BBVA Garanti BBVA wanted customers to complete banking tasks conversationally inside digital channels, with more personalized support and less reliance on call centers or branches for routine requests and service workflows. 1.6 million active users LLM-based AI infrastructure · Ugi · mobile app In-house Sample Apr 23, 2026 PayPal PayPal needed to give employees conversational access to company data at enterprise scale without requiring SQL, dashboards, or intermediary engineering teams, while still meeting strict security and compliance… answers in minutes instead of hours Looker · MCP In-house Sample Apr 22, 2026 ABB ABB wanted to give employees a safe, responsible way to use generative AI in daily work so they could improve productivity, explore ideas more effectively, and support ongoing learning and career development. Abby supports more than 15 large language models (LLMs) Abby In-house Sample Apr 16, 2026 Bosch Bosch needed to reduce lengthy troubleshooting and documentation work after production-machine breakdowns so lines could restart faster without relying only on highly experienced specialists. annual savings of around €850,000 for each individual Bosch plant Shopfloor Agent In-house Sample Apr 16, 2026 UBS Asset Management UBS Asset Management needs to support multi-asset investing decisions across strategy design, tactical asset allocation, portfolio construction, security selection, research, and portfolio implementation while rapidly… Automated trade scheduling · Dendrogram clustering · Execution optimization algorithms In-house Sample Apr 13, 2026 Elevance Health Elevance Health needed to find fraud, waste, and abuse in very large volumes of claims, payment, contract, and medical-record data so it could detect billing errors, suspicious coding patterns, and improper payments… across an annualized volume of nearly 23,000 reviews In-house Sample Mar 30, 2026 Telefónica Germany Telefónica's network operations teams had to handle growing network complexity, massive alarm volumes, and incident analysis workflows that made root-cause identification and troubleshooting slower and harder for NOC… Network Operation Agent (NOA) · database · ticketing system In-house Sample Mar 23, 2026 DXC Technology DXC's security operations center was facing rapidly growing cyber complexity, including zero-day vulnerabilities, identity-based attacks, supply chain breaches, and AI-enabled adversary tactics, while analyst shortages… 68% reduction in time to acknowledge a ticket AI agents In-house Sample Feb 24, 2026 Sanofi Sanofi needed a faster, more objective way to decide which R&D programs to advance, accelerate, or stop while weighing costs, clinical trial enrollment timelines, unmet need, competition, and each program's probability… more than one billion data points across Sanofi Aily Labs · Plai In-house Sample Feb 16, 2026 Buzzworthy Ventures (Humble Bee) Small-scale beekeepers in rural India lacked sustained scientific support, diagnostics, market access, and practical digital access, which limited hive health, honey quality, crop pollination, and income potential. 6,000 hives across eight ecological zones BeeKind · BeeMitra · FieldView In-house Sample Feb 5, 2026 LG AI Research LG AI Research needed to extend AI systems built for high-stakes manufacturing into financial market workflows where forecasting accuracy alone was insufficient; investors also needed narrative reasoning, governance,… 4-week horizon AI-Powered Equity Forecast Score · EXAONE · EXAONE Business Intelligence In-house Sample Feb 2, 2026 DXC-Luxoft Autonomous-driving teams need large volumes of precise, machine-readable traffic scenarios for virtual validation and homologation, but writing standardized scenario descriptions is tedious, repetitive, and dependent on… hundreds of thousands of scenarios ASAM OpenDRIVE · ASAM OpenSCENARIO DSL · ASAM OpenSCENARIO XML In-house Sample Jan 29, 2026 Starbucks Starbucks wanted to reduce operational friction in its coffeehouses and digital channels so partners could get answers quickly, keep order production flowing across channels, and deliver more personal service without… Green Dot Assist · Smart Queue · Starbucks app in ChatGPT In-house Sample Jan 28, 2026 Magna Magna needs to improve factory quality, equipment uptime, material flow, energy efficiency, employee safety, and planning coordination across global manufacturing operations while reducing repetitive manual work and… AI Vision Inspection · AI-Enabled Factory Orchestration · Autonomous Mobile Robots In-house Sample Jan 27, 2026 Audi Audi needed to scale AI-enabled production and logistics across factories while reducing reliance on stationary factory computers, improving flexibility and quality control, and giving employees real-time support in… around 100 robots Edge Cloud 4 Production (EC4P) · P-Data Engine · ProcessGuardAIn In-house Sample Jan 21, 2026 Groupe BPCE Groupe BPCE wanted to transform banking operations and customer experience at scale, improving back-office productivity, frontline advisor support, mobile customer interactions, contact center automation, fraud… 1 million calls out of the 12 million received each year are handled from start to finish by an AI voice agent AI assistant · AI voice agent · Gen AI