AI in IT Services

IBM consolidated its global HR content layer on OpenText Content Management for SAP SuccessFactors, with OpenText Content Aviator as the AI orchestration layer and the watsonx-powered AskHR chatbot as the employee experience. The deployment supports 280,000 employees across dozens of countries and 31 languages, delivering 99% faster document execution, 94% inquiry containment, and 40% lower HR operating costs.

Built on AWS Bedrock with Anthropic's Claude Instant, NCS's GenAssist suite augments the Singapore Ministry of Manpower Contact Center with three modules — an RAG-based onboarding chatbot (LangChain, Amazon Kendra, 93% accuracy), a hyperlocal speech-to-text pipeline via NCS's own ins8.ai engine (95% transcription accuracy on Singapore accents), and a Claude Instant summarizer (99% accuracy, human-in-the-loop). The deployment has cut average call handling time 12%, after-call work over 50%, and lifted overall agent productivity 6%, without ripping out MOM's existing contact-center infrastructure.

EY, one of the world's largest professional services networks and a leading provider to the financial sector, built a generative AI platform on Elasticsearch using ESRE's vector embedding and machine learning models to unlock insights from unstructured data for banks. The deployment targets ESG reports and financial statements, can extract 14 key variables from a 40-page PDF, and integrates with LlamaIndex, LangChain and LanceDB inside EY's broader generative AI stack.

Minneapolis-based AI-native engineering firm Blank Metal (30 people, founded 2025) deployed Claude Cowork, Claude Code, and Claude Enterprise as its internal operating layer, with around 90% of engineering output running through Claude Code and 710 client-side people trained as of June 1. The deployment cut lead processing from days to a couple of hours (3-10 leads/day), reduced calendar coordination from an hour per day to a single prompt, and turned multi-hour proposal drafting into a structured first draft in minutes.

GS1 BelgiLux, the Belgian-Luxembourg member of global GS1 barcode standards body serving 20+ sectors, deployed ML6 AI for product label data extraction, cutting processing time from 48 hours to near real-time and accelerating product onboarding for member organizations.

Manipal Hospitals, one of India's largest healthcare providers serving nearly 7 million patients annually across 37 hospitals and 10,500 beds, deployed Google Cloud generative AI for nurse handoffs, cutting handover time by 90 minutes per shift.

Stripe Systems (Paris/India fintech engineering firm) deployed AI-assisted code review via GitHub Actions across 3 production projects (NestJS, Flutter, React) and cut review cycle time 60% (4.2h → 1.7h), senior engineer review time 60% (45 → 18 min), and increased defects caught per 100 PRs 35% (8.2 → 11.1). False positive rate dropped 22% → 8% over 3 months via confidence threshold tuning + 👍/👎 feedback loop. $80-120/month token cost for ~45 PRs/week.

Nebius built Sentinel, a compliance audit agent, on its Agents Blueprint and ran a real FDA guidance-change audit through four configurations. Swapping GPT-5.5 for DeepSeek-V4-Pro on Nebius Token Factory cut cost from $657.19 to $34.63, about 19 times cheaper, and the production setup on Nemotron-Ultra with LangSmith and Snowglobe finished in 12.6 minutes for $23.59, reaching 1.00 recall on a 120-task benchmark.