Industry
Real-world AI deployments tracked across organizations, countries/regions, and use cases.
Software has 109 tracked AI use cases across 22 countries/regions and 83 organizations. Activity is led by United States and Australia, with frequent examples from Salesforce and Google DeepMind.
Industry deep dives and weekly updates linked to this industry.
Across 115 Software use cases, the strongest evidence comes from software companies turning AI on their own code review, on-call and support work, where agents now approve, block and triage, and where the builders converged on the same orchestrator-and-specialists design.
Salesforce subsidiary Informatica's CLAIRE multi-agent system executes enterprise data workflows at a 90% task success rate and reduces month-long manual efforts to days by coordinating 50–60 specialized model calls per request through an orchestration agent with validation checkpoints and deterministic tool routing. Expect the same control-plane-plus-specialized-agents pattern to spread across enterprise data stacks as more vendors turn copilot-style single-step assistance into end-to-end autonomous workflows.
Week 35 (2026-08-24 → 2026-08-30) shipped 21 use cases across 18 companies, led by Health Care Providers & Services (5) and Health Care Technology (3), with AIG's 40% binding lift and Trustly's 4x-faster insights among the week's verified deployments. Next: enforce pre-insert validation to keep curation quality high, restore pipeline_metrics logging, and continue the agentic + industrial trend narrative on the site.
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Per Anthropic's 15 October 2026 engineering blog, the Claude Code team runs a six-layer code review process with risk-tiered human approval; between June and September 2026, merged PRs to the Claude Code codebase more than doubled while the share that had to be reverted fell by more than 40 percent, and the share of internal PRs getting substantive review comments went from 16% to 54% after the launch of the Code Review for Claude Code research preview. Layer 5's classifier-driven risk tiers (Low / Medium / High) and the rule that an agent's approval never counts as a human's are the structural pieces that let most PRs merge with at most one human in the loop.
Per OpenAI's 16 October 2026 customer story, Stack Overflow's ChatGPT plugin for Stack Overflow for Agents drove a 3× overnight jump in signups and up to 10× growth in agent creation; two engineers built the Agents product in a few weeks with OpenAI Codex, and connector build time dropped from 3-6 weeks to 4 days (an 87% maximum reduction), with OpenAI models like GPT-6 Astra and GPT-6 Sol routing tasks across the platform.
Current, an AI-native tax platform for accounting firms, embedded Nutrient's document infrastructure to consolidate PDF viewing, editing, annotations, and signing in-app. Two engineers integrated; 30-minute initial render; working product for extension tax season in six weeks; full production launch before new year. Roughly $50,000–$100,000 in annual third-party document software savings across participating firms (per Nutrient case study).
SAP deployed OpenText Content Management for SAP SuccessFactors as the document layer for its global SAP SuccessFactors Employee Central rollout, migrating 8.5 million HR records, reducing document types by 96% (2,000 to 70), and automating GDPR compliance across 105,000+ employees and more than 100 legal entities.
Atlassian announced governed agent loops for Jira and DX: agents grounded in Teamwork Graph code context pick up well-defined backlog items, write and test code, and open pull requests checked by an AI reviewer against org standards. Most features are in beta or early access; Atlassian cites a 64% per-developer output gain from richer context.
Atlassian deployed a distributed agent harness for Rovo Chat with split-plane architecture, programmatic tool calling ('code mode'), and interactive sub-agents to power an always-on AI assistant for Jira and Confluence workflows; internal evaluations showed code mode cut latency of complex Jira queries by over 50%, reduced token consumption by 55%, and improved accuracy by 30% against a baseline meta-tool harness.
Salesforce's Data 360 team converted roughly 100,000 unstructured Informatica documents into an AI-ready knowledge base in 24 days, beating a 30-day post-acquisition deadline by reusing established ingestion, chunking, and retrieval patterns instead of rebuilding. The resulting Informatica Help Agent resolves 80% of customer questions with only 5% human escalation.
Figma's security team runs Claude Code (Opus 4.8) and Codex (GPT-5.6 Sol) side by side on every pull request, guided by a precedent-based threat-model policy. On a 66-task corpus of bugs that past reviews missed, the pair catches 75.8%; production precision reached 80% within a month, at about $0.50 per review.
Every Software deployment tracked in the catalog, A-Z.