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
Architecture Stack Signature
6-Layer Production Component Breakdown
BBVA app 3 Target app 3 Blue 2
generative AI 5 machine learning models 4 AI 3
AI Tech Center 1 AI agent 1 AI-Enabled Factory Orchestration 1
Accenture’s large-scale clinical dataset 1 Allegro 1 Automatic delivery note reading 1
big data 2 knowledge graphs 2 AWISO knowledge library 1
Cyber Secure 1 Holistic AI 1 Visa Payment Passkeys 1
Product & Model Ecosystem
Most Deployed Products & Co-occurring Pairs
Top named products & AI models
generative AI 5 Large Language Models (LLMs) 4 machine learning models 4 AI 3 BBVA app 3 Target app 3 AI agent 2 AI agents 2
Most frequent co-deployed product pairs
- Erica + Erica for Employees 2 stories
- Target app + Target.com 2 stories
Adoption Footprint
Sector, Region & Organization Scale
Top adopting industries
Geographic footprint
- Global / Multi-region 63 (41%)
- North America 39 (26%)
- Europe 38 (25%)
- Asia-Pacific 4 (3%)
Organization scale
- Enterprise 137 (90%)
- Public sector 7 (5%)
- SMB 2 (1%)
- Mid-market 1 (1%)
Verified Business Impact
Outcome Categories & Customer ROI Proof
Primary outcome drivers
In-house Sample Oct 16, 2026 Mercedes-Benz Mercedes-Benz needed to digitalise global product development, connect development, procurement, production, sales, and after-sales data end to end, and help teams make better decisions earlier so new products and… efficiency gains of up to 50 percent expected in individual engineering processes AI agents · CONTACT Elements · PLM.AI In-house Sample Oct 9, 2026 BBVA BBVA's trading desk needs to respond to institutional client requests for bond, interest-rate swap, and foreign-exchange quotes within milliseconds while balancing competitiveness, profitability, portfolio risk, and… within milliseconds Atalaya · Bloomberg · Viriato In-house Sample Sep 24, 2026 Mastercard Fraudsters are using AI to find vulnerabilities, adapt tactics, and scale attacks across more payment channels, while traditional transaction-by-transaction controls struggle to catch coordinated fraud and authorized… Last year, scam losses globally were estimated at $442 billion In-house Sample Sep 22, 2026 Repsol Repsol needed to anticipate service-station store demand, reduce stock-outs and waste, and cut manual delivery-note entry so station teams could spend more time on customer service. A total of 85% of recommendations are accepted unchanged, and an additional 14% are accepted with quantity… Automatic delivery note reading · Suggested ordering In-house Sample Sep 3, 2026 Grupo Falabella Grupo Falabella needed to turn AI into a cross-functional business capability that improves customer experience, sales conversion, service responsiveness, and logistics efficiency across its five business units rather… US$265 million to technology in 2026 Banco Falabella app · Falabella.com · cameras In-house Sample Sep 1, 2026 Thomson Reuters General-purpose LLMs can produce subtle but consequential errors in legal and compliance work, where professionals need trustworthy, citation-backed analysis across very large document sets. As of Q1 2026, CoCounsel has crossed one million users CoCounsel · Practical Law · Tabular Analysis In-house Sample Aug 27, 2026 Lenovo Lenovo needed to handle customer support at very large scale across its global device support operation, where routine issues created cost and complexity and human-led resolutions costing $30 to $50 could delay simple… $30 to $50 Lenovo Intelligent Voice Agent · Lenovo Machines Fix Machines Agent · Lenovo Smart Repair Agent In-house Sample Aug 25, 2026 U.S. Army Chaplain Corps High-volume turnover in the Chaplain Corps and routine chapel administration made resource, maintenance, facilities, and transition work disruptive and pulled chaplains and religious support specialists away from… Chaplain Administrative Platform (CHAP) · Large Language Models In-house Sample Aug 13, 2026 BBVA BBVA needed to improve customer service, streamline risk analysis, boost commercial productivity, and reduce administrative effort across commercial banking processes while giving bankers more personalized, faster… 86 percent of BEI agents in Spain AI Banker · Akira Project · AutoPF In-house Sample Aug 13, 2026 Lockheed Martin Static flight-hour tables and usage metrics ignored real-time consumption, causing chronic under-resourcing, limited stock effectiveness, and a reactive sustainment supply chain that could not keep pace with modern… predict component failure up to 72 hours before it occurs LogC2 dashboard · deep-learning models · digital data fabric In-house Sample Jul 30, 2026 Telefónica Traditional inspection, monitoring and protection of critical infrastructure required sending staff into the field, consuming significant time and money, slowing incident detection and increasing operational risk for… 70% or 80% of the total cost of a mission 5G network · Drone-in-a-Box technology · artificial intelligence In-house Sample Jul 28, 2026 Novartis Novartis R&D needs to turn large volumes of scientific, clinical, operational, and real-world data into faster, higher-quality decisions across drug discovery and development, reducing cycle times, surfacing safety… less than 10 percent of drug candidates historically reach the market AI models · AI-enhanced analytics · Generative AI In-house Sample Jul 23, 2026 Telefónica Telefónica needs to evolve and maintain a very large API and microservices estate without slowing delivery, while keeping integrations understandable, compliant, secure and maintainable; it also wants to reduce manual… AI agent · generative AI In-house Sample Jul 21, 2026 Bank of America Bank of America wanted to help customer service representatives resolve client needs faster, navigate complex topics more easily, and deliver more personalized guidance during live client conversations without removing… More than 18,000 employees use EricaAssist as a human-assisted AI agent to help serve clients. EricaAssist In-house Sample Est. · Jul 16, 2026 Poste Italiane Poste Italiane needed to use its large, distributed data estate and national omnichannel service network more effectively so employees could respond faster during customer interactions, customers could access services… 25 million daily customer interactions AI-supported telephone booking service · Cloud and Edge Computing · Poste Italiane single app In-house Sample Jul 14, 2026 BBVA BBVA needed a more complete and faster way to understand customer experience than satisfaction surveys alone, especially across high-volume conversations, digital journeys, and compliance-sensitive service interactions. 1,127 AI use cases that BBVA already has in production My Conversations · Net Promoter Score (NPS) surveys · generative AI In-house Sample Est. · Jul 10, 2026 Aramco Aramco needs to turn extremely large and complex exploration, drilling, refining, logistics, and market datasets into faster, safer, and more reliable operational decisions while reducing uncertainty, downtime, and risk… five facilities recognized by the World Economic Forum as Lighthouse sites Dammam-7 · Ghawar-1 · Operations Co-Pilot In-house Sample Jul 3, 2026 75th U.S. Army Reserve Innovation Command The 75th U.S. Army Reserve Innovation Command wanted to modernize administrative and planning work and give military police teams better ways to collect and analyze checkpoint footage and other surveillance, while… 15 highly motivated individuals MP Sentinel-Video RAG · Soldier Passport system · TA-50 computer vision application In-house Sample Jul 2, 2026 BBVA BBVA needed to prove that AI agents could initiate consumer purchases securely within existing payment infrastructure while preserving cardholder consent, issuer oversight, and EU Strong Customer Authentication… Visa Intelligent Commerce · Visa Payment Passkeys · real-time fraud monitoring In-house Sample Jun 29, 2026 Large Australian bank The bank wanted a proactive way to monitor a complex IT environment, predict critical service outages, and reduce the impact of infrastructure failures on customers and employees. 700 features were selected and productionised AIOps model · big data cluster · dashboard In-house Sample Jun 25, 2026 Telefónica Telefónica's compliance function must manage an expanding set of digital risks and increasingly complex international regulations without becoming inefficient, while also improving fraud detection and preserving rights… In-house Sample Jun 24, 2026 Telstra Telstra's directors needed a faster way to find, search, and interrogate large volumes of board material, recall prior decisions, and verify whether management recommendations and requested actions were properly… Board AI agent In-house Sample Jun 18, 2026 Target As shoppers increasingly begin discovery and purchase journeys inside conversational AI tools, Target needed to make its assortment, account identity, loyalty benefits, and checkout available directly in those… AI-driven traffic to Target leapt 2,000% in the first quarter compared to last year. ChatGPT · Copilot Checkout · Gemini app In-house Sample Jun 18, 2026 GM GM wanted to replace a sequential, handoff-heavy vehicle development process that slowed feedback, required too much physical iteration, and exposed programs to late-stage surprises across design, engineering,… cut roof crush analysis runs from 8-40 hours to less than 5 minutes AI · AI-powered virtual wind tunnel · augmented reality (AR)