Case Study: Ziprent achieves 80% automated tenant placement with Ocrolus AI-driven document automation

Ziprent achieves an automated tenant placement process with Ocrolus’ AI-driven automation solutions

Ziprent, a Tiburon, California–based property management company, struggled with rapidly growing application volumes — roughly 200–300 units per month (about 10 applications per unit) that swell to 2,000–3,000 during peak season — and relied on 4–5 staff to manually review pay stubs and documents. Prior partners only addressed about 20% of income verifications, leaving 80% for labor-intensive manual review, so Ziprent turned to Ocrolus and its AI-driven document automation solution to speed and scale the process.

Ocrolus extracts and normalizes data from uploaded pay stubs, W-2s and IDs (including expiration and name matching) to automate income eligibility and identity checks, enabling Ziprent to automate roughly 80% of tenant placements. The Ocrolus integration reduced Ziprent’s processing team from five people to one, delivered near-instant application decisions, and positioned the company to sustain 50–100% annual growth with significant projected savings over the next five years.

Ziprent

Arvand Sabetian

Chief Executive Officer