OBZ wins ASEAN Consulting Rising Star of the Year·AWS Partner Summit ASEAN 2026

A Southeast Asian financial-district skyline at dusk

Production systems running. Measurable outcomes.

City skyline of a regulated banking hub in Vietnam
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CASE 03 · VIETNAM · BANKING

In production.

First AI infra inside a regulated VN bank.

VIETNAMBANKINGLIVE
“We wanted to deploy AI, but couldn't accept our data leaving our environment, or regulators not being able to audit what the AI was doing.”

NEO deployed inside the bank's own AWS environment. Full sovereignty: the bank owns the data, the models, the audit trail. Governance built in from day one, not retrofitted at audit time.

OUTCOME

  • First AI operating infrastructure inside a Vietnamese regulated bank
  • Regulator-ready audit and governance from day one
  • AWS GenAIC funding secured for expansion
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CASE 01 · SOUTHEAST ASIA

Telecommunications

16X REVENUE
Managing 100,000 customer interactions a month was overwhelming our social team.

AIRYN handles social response, reading intent and routing complaints. JARVIS runs outbound upsell campaigns. Both inside the customer's own AWS environment.

  • 100k+ interactions / month handled
  • 70% auto-resolved without human escalation
  • +18% cross-sell · 50% campaign cost reduction
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CASE 02 · AUSTRALIA

Banking

9MONTHS · 15 PPL
Our data migration was quoted at 20 months and 100+ people. We needed it done in under a year.

ETL Crew is a multi-agent coworker system. Agentic engineers handle schema mapping, code generation and QA in parallel, directed by one senior human engineer.

  • 9 months vs 20-month incumbent estimate
  • 15 people vs 100+ originally quoted
  • 50% faster ETL builds across the engagement
City skyline at dusk in Southeast Asia

CASE 04 · SOUTHEAST ASIA · BANKING

Growing

SOUTHEAST ASIABANKINGGROWING
“Needed to modernise without a multi-year programme and prove governance before scaling.”

Agentic migration proved governance first. AWS case study co-published. NEO platform contracted for next phase.

Explore enterprise AI coworker deployments across banking, telecom, customer operations, recruiting, and agentic data engineering.

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