Real automation work,
verified outcomes.

Support volume quadrupled in 18 months; the team only doubled. Resolution averaged 4 hours, weekend tickets sat overnight, and the next move on the table was two more agents at $85K each - $170K a year to stand still.

The agent now closes 68% of inbound tickets end-to-end at 95% CSAT. Repeat tickets fell 40%, and the team moved from password resets to churn-saving customer-success work. The two hires they never made pay for the project many times over - every year.

Revenue was stuck at $15–18K a month. Conversion sat at 1.2% - well under the 2% industry bar - carts were abandoned faster than they filled, and every extra ad dollar bought less than the last. Nobody in-house knew where to start with automation.

Conversion tripled to 3.6%. Email revenue grew 220% year over year on flat ad spend, order value rose 38%, and customer lifetime value lifted 85%. The flows keep compounding - the engagement paid for itself inside the first quarter.

Dashboards refreshed once a day from overnight batch jobs while institutional clients demanded real-time data - and started saying so in renewal calls. Two analysts burned full-time hours babysitting 20+ manual Excel reports. Analytics had become the growth bottleneck.

Sub-second latency replaced the 24-hour batch. Manual reporting dropped 98%, the analysts moved to strategic work, and the real-time gap that threatened institutional renewals is gone. The team scoped a phase-two ML workload with the same engineer.

18,000 invoices a year arrived as PDFs, EDI files, portal uploads and scanned mail - and every one was keyed in by hand. That was 120+ hours a month of data entry with a 2.5% error rate, half a person chasing vendors, and quarterly audits that meant days of reconciliation.

Processing fell from 120 to 18 hours a month and the error rate collapsed to 0.2%. AP cost dropped 90% - and with real-time invoice visibility, the team now captures early-payment discounts it used to miss entirely. Auditors get a complete trail at the press of a button.

Four general freelance marketplaces, $45/hr, 30+ proposals a month, an 8% win rate. Clients treated RPA like generic dev work and haggled every quote - because on a résumé, "10,000 hours of automation wins" reads exactly like "I know Zapier". There was no way to prove the difference.

Climbed to the Gold trust tier as verified engagements stacked up, and the rate followed the evidence: $45/hr to $198/hr. Month five brought a six-month logistics retainer. Escrow means the work is always funded before it starts, and flat platform pricing makes every payout predictable.

Left a senior Big-Tech role with deep LLM-evaluation expertise and no pipeline. Six months of LinkedIn outreach produced three discovery calls and zero contracts. On generic marketplaces, "AI engineer" is a crowd where everyone claims the same stack - specialty was invisible.

40 distinct clients matched across eight months - all inbound, not one outbound sales call - for $240K in engagements. Average time-to-match stayed under 24 hours, and 60% of clients booked a second engagement within 90 days. The pipeline problem is now a scheduling problem.