Workflow library
Operations automations
Reporting, hiring, handoffs and the glue between tools. 8 workflows, each linked to a real public source, with architecture, tools and human checkpoints.
End-to-end systems
Sources candidates, screens out fraud, gives every applicant a short AI first-round interview, and hands the team a ranked shortlist with transcripts.
6 stagesCompany brain: docs, data and tickets in SlackA Slack agent that answers from docs and past threads with sources, answers data questions with SQL, files tickets from conversations, and reports gaps in your docs.
Building blocks
A Slack bot answers team questions (lead stages, processes, policies) from internal documentation, with links, so people stop interrupting the one person who knows..
Job applicant fraud checkEvery application is enriched with IP and phone data; stated location is compared to real location, internet-based phone numbers are checked, and the applicant is rated no / moderate / high fraud risk.
Resume screening summaries for hiring managersEach CV is parsed and summarised against the role's must-haves, with evidence quoted, then written to a sheet for the hiring manager to sort..
Slack threads to sprint ticketsA Slack conversation is summarised into a properly written ticket and added to the next planned sprint..
Meeting notes to assigned action itemsAfter a meeting, notes are turned into a summary and action items with owners and due dates in Google Workspace, and owners are reminded..
Ask-your-data analyst agentTeam members ask questions in plain English; an agent writes SQL against your warehouse, runs it, checks the result and explains it, in several reasoning phases..
Abuse and trust-and-safety review agentVercel: 59% reduction in time to ticket closing in the first iterationFor platforms that host user content, reported URLs are analysed visually and textually for phishing, spam or copyright issues; the agent proposes an action and a security engineer makes the final call..
Monthly KPI report with AI commentaryQuery KPIs from BigQuery, have an LLM write commentary on what changed, build a Google Doc / PDF and send it by email and Teams..
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