Amazon Quick and Amazon Bedrock AgentCore were used to build an AI contract intelligence platform that extracts contract fields with AI agents, verifies them with a second model and Amazon Textract for signature detection, and stores results in a database for querying. The pipeline processes a contract in seconds under typical conditions. Instead of relying on retrieval-augmented generation that can return wrong portfolio totals, the system uses structured extraction for aggregation and keeps a document knowledge base for precise single-contract questions.
Condé Nast built an AI-powered multimodal video discovery system with AWS to replace metadata-only searching for its editorial teams. It cut average content discovery time from 250 minutes to about 2 minutes per task, based on a May 2026 benchmarking workshop. The workflow now returns intent-based clips with precise timestamps from video transcripts, visuals, and audio, reducing manual review and estimated annual operational costs by about $800,000.
Omnissa unveiled new AI agents for IT teams, a managed cloud PC service, and an AI governance product named Omnissa Elara at its Omnissa ONE 2026 conference. The company said AI assistant app usage across enterprise endpoints grew nearly 1,000% in 2025, with about three-quarters coming from unsanctioned tools. The releases aim to give IT more visibility and control by adding automated troubleshooting, app packaging/testing, vulnerability patch preparation with human approval, and workspace governance that can apply policies before high-impact AI actions.
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