Case studies
Results that speak in numbers
Real engagements. Measurable outcomes. Here's what happens when AI agents take over the manual work.
How a 200-Person Logistics Firm Automated 80% of Their Invoicing
- 3,000+ invoices/moprocessed by hand
- 8-person AP team80% time on data entry
- 12% error rateduplicate payments & misroutes
- 14-day avg cyclefrom receipt to payment
- 80% auto-processedzero human touch
- Team reallocatedto vendor negotiations
- < 1% error rateAI validation + PO matching
- 2-day avg cyclesame-week payment norm
RROI
80% of invoices now processed without human touch. Error rate dropped from 12% to under 1%. The AP team was reallocated to strategic vendor negotiations, contributing to an additional 8% reduction in procurement costs. Full ROI achieved in month two.
Integrations
Key Tech
Timeline
Status
More engagements
AI-Driven Lead Qualification & Scheduling
Challenge
A 15-agent brokerage was losing 40% of inbound leads because agents couldn’t respond fast enough. Manual qualification calls consumed 25+ hours per week across the team.
Solution
Deployed a Lead Qualifier agent that scores inbound leads in real-time using ICP fit, budget signals, and intent data — then auto-books qualified prospects into agent calendars via Calendly.
24/7 Multi-Channel Support Agent Deployment
Challenge
A DTC brand scaling to $8M ARR was drowning in support tickets across email, chat, and social — with a 3-person team and 18-hour average first response.
Solution
Deployed a Support Triage agent across Zendesk, Intercom, and Instagram DMs. The agent classifies, prioritizes, drafts responses, and escalates edge cases — running 24/7 without breaks.
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