4.5M banking instructions a year, each touching human hands. AI now handles 3M end-to-end — staff move to work that actually needs them.
A Turkish state-owned bank processing over 4.5 million banking instructions annually, with operations spanning retail customers, SMEs, and tradespeople.
Processing millions of banking instructions required extensive manual handling at each step, generating significant operational costs at scale....
“Halkbank olarak yapay zekâyı operasyonel verimliliğimizi artıran, çalışanlarımızın zamanını daha yüksek katma değerli işlere yönlendiren ve müşteri deneyimini geliştiren kurumsal bir yetkinliğe dönüştürüyoruz.”
Also reported by
State-owned commercial bank providing financial services in Turkey.
Provided ChatGPT for integration into Halkbank's digital chat environment for customer information.
Halkbank's Transaction automation is part of this use case:
Related implementations across industries and use cases
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.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
FAdvisers were bottlenecked by manual market scanning and data validation. Now, an AI agent reviews 1,500+ signals to deliver vetted leads.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
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.
4.5M banking instructions a year, each touching human hands. AI now handles 3M end-to-end — staff move to work that actually needs them.
A Turkish state-owned bank processing over 4.5 million banking instructions annually, with operations spanning retail customers, SMEs, and tradespeople.
Processing millions of banking instructions required extensive manual handling at each step, generating significant operational costs at scale....
“Halkbank olarak yapay zekâyı operasyonel verimliliğimizi artıran, çalışanlarımızın zamanını daha yüksek katma değerli işlere yönlendiren ve müşteri deneyimini geliştiren kurumsal bir yetkinliğe dönüştürüyoruz.”
Also reported by
State-owned commercial bank providing financial services in Turkey.
Provided ChatGPT for integration into Halkbank's digital chat environment for customer information.
Halkbank's Transaction automation is part of this use case:
Related implementations across industries and use cases
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.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
FAdvisers were bottlenecked by manual market scanning and data validation. Now, an AI agent reviews 1,500+ signals to deliver vetted leads.
Each payroll meant up to 20 manual transfers; each invoice re-keyed from a spreadsheet. Agents now prepare both; owners approve once.
Static bots capped accuracy at 75%. Now, AI agents run live credit checks with 99% precision, tripling engagement.
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.