Move at tech speed, answer like a bank—ad-hoc AI reviews couldn't do both. A four-tier risk framework now routes every request consistently.
A global payments technology company processing billions in annual transactions, operating a regulated financial institution affiliate that must innovate at technology speed while meeting bank-level risk obligations.
When generative AI proliferated across the company, someone had to decide which tools employees could safely use, which needed review, and which to...
“Harvey helped us move from using AI to governing it.”
Payment technology platform for prepaid cards, incentives, and financial services.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
InComm Payments's AI risk rating is part of this use case:
Related implementations across industries and use cases
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Complex regulations outpaced manual review capacity. Lawyers now use custom playbooks to automate compliance checks directly in Word.
Auditors spent five days manually validating files. AI now parses the data against contracts, cutting manual effort by 90%.
ATeams manually parsed 8,000-word policy docs. GenAI now structures summaries for validation, cutting contract review time by 80%.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Skilled lawyers buried in routine paperwork across 50+ countries. Now AI handles the volume; specialists focus on the judgment work.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.
Move at tech speed, answer like a bank—ad-hoc AI reviews couldn't do both. A four-tier risk framework now routes every request consistently.
A global payments technology company processing billions in annual transactions, operating a regulated financial institution affiliate that must innovate at technology speed while meeting bank-level risk obligations.
When generative AI proliferated across the company, someone had to decide which tools employees could safely use, which needed review, and which to...
“Harvey helped us move from using AI to governing it.”
Payment technology platform for prepaid cards, incentives, and financial services.
Harvey is a generative AI company that innovates the future of professional services with advanced AI solutions.
InComm Payments's AI risk rating is part of this use case:
Related implementations across industries and use cases
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Attorneys resisted standalone tools. Embedded in Word, AI now cuts contract review to 10 minutes and saves lawyers 7+ hours weekly.
Complex regulations outpaced manual review capacity. Lawyers now use custom playbooks to automate compliance checks directly in Word.
Auditors spent five days manually validating files. AI now parses the data against contracts, cutting manual effort by 90%.
ATeams manually parsed 8,000-word policy docs. GenAI now structures summaries for validation, cutting contract review time by 80%.
Engineers capped at basic chat, complex work out of reach. Now 700 tackle cross-jurisdiction compliance reviews in hours, not weeks.
37 steps and 16 handoffs to send one email. Agents rebuilt the workflow from scratch — 3 weeks became 2 days.
Skilled lawyers buried in routine paperwork across 50+ countries. Now AI handles the volume; specialists focus on the judgment work.
Legal spent hundreds of hours parsing 100-page scanned contracts. Now, multi-stage AI extracts clauses upon upload for instant search.