Real automation work,
verified outcomes.

Support volume had quadrupled in 18 months while the team only doubled. Average resolution time hit 4 hours, weekend tickets sat for 8–12 hours, and the company faced hiring two more agents at $85K each just to keep pace.

The agent now handles 68% of inbound tickets end-to-end with 95% CSAT on AI-resolved interactions. Repeat-ticket rate dropped 40%. Support team refocused on complex bug investigation and customer-success motions instead of password resets.

Monthly revenue plateaued at $15–18K. Conversion sat at 1.2% (below the 2% industry average), cart abandonment was 18%, and additional paid-ad spend produced diminishing returns. The team had no in-house automation expertise.

Conversion rate tripled to 3.6%. Email revenue grew 220% year-over-year with zero increase in paid-ad spend. Average order value rose 38% and customer lifetime value lifted 85%.

Dashboards updated once a day from overnight batch jobs. Two analysts spent full-time hours maintaining 20+ manual Excel reports. Institutional clients demanded real-time data the team could not deliver, and the analytics function was a growth bottleneck.

Sub-second latency replaced 24-hour batch. Manual reporting dropped 98%. The analytics team now ships strategic analysis instead of pulling data, and institutional churn risk tied to real-time gaps was eliminated.

AP team spent 120+ hours per month on manual data entry from PDFs, EDI files, portal uploads, and scanned mail. Error rate ran 2.5%, vendor follow-ups consumed an additional 0.5 FTE, and audit compliance required hours of reconciliation per quarter.

Processing time fell from 120 to 18 hours per month. Error rate collapsed to 0.2%. AP cost dropped 90% annually. Real-time invoice visibility unlocked early-payment discounts the team had previously missed.

Listed on four general freelance marketplaces at $45/hr, bidding on 30+ proposals a month with an 8% win rate. Clients treated RPA like generic development work and routinely pushed back on rates. Verification was self-reported — no way to prove "10,000 hours of automation wins" stood out from "I know Zapier".

Reached Pro tier after four verified engagements. Average rate climbed from $45/hr to $198/hr as proof-of-work credibility compounded. Signed a six-month retainer with a logistics client in month five. Predictable, transparent platform pricing on every transaction made forecasting straightforward.

Left a senior role at a large tech company to go independent. Had deep LLM evaluation expertise but no pipeline — six months of LinkedIn outreach produced three discovery calls and zero contracts. Traditional freelance marketplaces offered no way to signal specialty in a crowded "AI engineer" category; everyone claimed the same stack.

Matched to 40 distinct clients across eight months through inbound AutoTeam requests. $240K GMV without a single outbound sales call. Average time-to-match stayed under 24 hours. 60% of clients booked a second engagement within 90 days, compounding into a predictable recurring book.