12 cases
An engineering team deployed an on-call agent that monitors alerts, correlates signals across services, pulls relevant runbooks, and drafts an incident summary in Slack — before the on-call engineer even opens their laptop.
A mid-size law firm deployed a Claude-based agent to flag non-standard clauses, missing provisions, and risk terms in commercial contracts. Junior associates now do first-pass review in 15 minutes instead of 3 hours.
A 40-person enterprise sales team deployed an agent that listens to call recordings, extracts key data points, and auto-fills Salesforce fields. Reps reclaimed 2 hours per day.
A 3,000-person company deployed an AI agent that extracts data from receipts, validates against policy, flags violations, and pushes approved expenses directly to the ERP — cutting processing time from 5 days to 4 hours.
A two-person startup with no marketing team used AI agents to identify keyword opportunities, produce 120 articles in 90 days, and build a content moat that now drives 40,000 monthly organic visitors.
A private equity firm deployed an agent pipeline to analyze target company documents, flag risks, summarize financials, and cross-reference public filings. Deal teams now complete preliminary DD in one day instead of one week.
A multi-brand retailer deployed an agent that monitors inventory levels, detects anomalies, contacts suppliers automatically, and escalates only when human judgment is needed. Manual exception handling dropped from 200 to 12 cases per week.
A mid-size company deployed a financial monitoring agent that continuously watches actuals against budget, flags anomalies, identifies root causes by drilling into transaction data, and alerts the CFO via Slack before variances become problems.
A factory running 200 CNC machines deployed an agent that monitors sensor data, detects failure signatures, schedules maintenance windows, and orders parts automatically — before equipment fails.
An engineering team deployed a release validation agent that runs automated checks, reviews test results, analyzes error rate changes, and generates a go/no-go recommendation — replacing a 4-hour human review ceremony.
A DTC brand's marketing team deployed an agent that monitors ad performance hourly, reallocates budget across campaigns, pauses underperformers, and scales winners — without waiting for weekly human reviews.
A mid-market manufacturing company replaced their manual AP process with an AI agent that extracts, validates, matches, and routes invoices — with humans only reviewing exceptions.