Manual document reviews bottlenecked new account openings at a full hour. An AI system now processes the paperwork in 15 minutes.
A major US banking institution employs a technology workforce of approximately 50,000 people while operating under strict regulatory consent orders mandating improved risk management.
Outdated legacy systems slowed down critical workflows, with document reviews for new accounts taking a full hour to process. The institution needed...
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Global investment bank and financial services corporation.
Citigroup's Client onboarding is part of this use case:
Related implementations across industries and use cases
KYC files moved desk to desk for months, with compliance teams buried in repetitive checks. Agents now extract and score; officers decide.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.
Manual document reviews bottlenecked new account openings at a full hour. An AI system now processes the paperwork in 15 minutes.
A major US banking institution employs a technology workforce of approximately 50,000 people while operating under strict regulatory consent orders mandating improved risk management.
Outdated legacy systems slowed down critical workflows, with document reviews for new accounts taking a full hour to process. The institution needed...
Also reported by
Global investment bank and financial services corporation.
Citigroup's Client onboarding is part of this use case:
Related implementations across industries and use cases
KYC files moved desk to desk for months, with compliance teams buried in repetitive checks. Agents now extract and score; officers decide.
Treated as a plug-in, not a platform. Now 370+ scenarios handle 10M+ daily AI calls — and new models ship in a day, not two weeks.
Manual handoffs slowed operations. AI now automates routing and validation, boosting case closure rates by over 50%.
Brokers were bottlenecked manually re-entering data across systems. Now, AI reads incoming paperwork and runs real-time compliance checks.
Manually extracting data from PDFs took 4 hours per loan, delaying approvals for weeks. Now, in-country AI securely structures the data.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Fragmented data and manual workflows slowed care. Now, AI helps staff optimize surgical scheduling and physicians diagnose rare diseases.