With numbers to prove it.
Explore all use casesUnassigned invoices clogged inboxes. AI now imports docs directly to the ERP and predicts coding to clear global backlogs.
500+ regex rules struggled with messy text. AI agents expanded coverage 20x, cutting processing from 24 hours to one.
A $60k audit took six months to yield yes/no data. AI mapped specific competitor usage in weeks, closing $3.3M in revenue.
Hundreds of naming variations forced manual labeling. AI now identifies items despite typos, cutting reporting from 45 days to 5.
Permit teams drowned in 5,000 monthly requests across fragmented sites. Agents now navigate the web maze to process tasks in 2 minutes.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Manual reviews bottlenecked onboarding for 28 days. A GenAI pipeline now rewrites and enriches catalogs in under 24 hours.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Abstractors spent 6 hours hunting details per complex case. Now, they validate AI findings in 90 mins, saving 6,000 annual labor hours.
Understand what's working with 2,874 recent AI case studies with quantified results. We break down every case study the same way, so you can find and prioritize high-impact strategies for your exact context.