Automation

Jamie's Farm Granola uses Gemini to organize stock tracking. Google reports 20 hours less paperwork per week; the article provides no measurement method.

A KDDI Agile Development Center practitioner uses Claude Code with browser MCP tools to collect article links across four calendars and prepare Slack messages. The author reports a routine taking five minutes fell to 30 seconds and provides execution logs and setup commands.

At t3n, Claude creates Asana orders and services when tagged in a Slack thread containing a sales confirmation. Rules live in Confluence. The publisher reports over 80% automated entry during the first two months and up to 75% less handling time, with human checks.

A Microsoft team connected Copilot to Azure DevOps through MCP to retrieve manual test cases and generate Playwright scripts. Hundreds of domain tests were automated. Reduced manual effort is reported without a measured time comparison.

Money Forward QA teams feed Jira tickets and Notion documents to Cursor through MCP. One agent drafts test cases and another produces Playwright scripts. The vendor story reports 70% less test-generation time without publishing the measurement method.

A Schoo infrastructure engineer used Cursor Agent to investigate a manually maintained AWS account and import about 350 required resources into Terraform. The account contained more than 1,500 listed resources. The post provides technical steps but no measured time saving.

Faire uses Cursor Cloud Agents and automations for migrations, CI failures, bug triage and code review routing. It reports more than 2,000 automated agent runs weekly and doubled PR throughput. The cited 18-month migration baseline was a prior estimate.

Jewelry designer Lina Prades built management applications with ChatGPT despite having no technical background. One supports daily operations. The source provides no measured financial or time outcome.

Minnesota's Enterprise Translations Office uses ChatGPT Team for translation services serving multilingual communities. OpenAI reports lower costs and faster turnaround, but the cited account gives no numerical results or published quality evaluation.

AES uses a Claude-based multi-agent system on Google Cloud to process safety documents, break down audit tasks and generate reports. The company reports reports taking about an hour instead of two weeks. Claimed cost and accuracy improvements lack a published evaluation method.

Ramp connects Claude Code to tools such as Datadog and Sentry through MCP to gather logs, errors and metrics for on-call engineers. Early observations suggested initial triage could take up to 80% less time. The source presents this as developing tooling, not an established measured saving.

A practitioner at Ururu prototyped a workflow that retrieves Slack threads, summarizes them with Gemini and supplies the summaries to NotebookLM. The post includes Apps Script code and example questions with source links. Reduced inquiry volume remains an expectation rather than a measured result.

Anthropic's legal team used Claude Code to prototype a phone-tree system directing colleagues to the appropriate lawyer. The example documents non-developers building an internal coordination tool. The article identifies it as a prototype and provides no quantified savings.