Bank Jago
Menara BTPN, Lantai 43 - 46 Jl. Dr,
Jakarta, x,
Indonesia
Jakarta, x,
Indonesia
62 21 5092 7460
Banking and Financial Services
Bank Jago Technographics
Bank Jago Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Bank Jago and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 490 Bank Jago employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bank Jago has purchased the following applications: Mambu Cloud Banking Platform for Core Banking in 2019, Google Cloud Vertex AI for Generative AI Platforms in 2024, Google BigQuery for Data Warehouse in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bank Jago is running and its propensity to invest more and deepen its relationship with Mambu , Google , Microsoft or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Bank Jago revenues, which have grown to $92.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Bank Jago intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Bank Jago Tech Stack and Enterprise Applications
Bank Jago ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Mambu | Legacy | Mambu Cloud Banking Platform | Core Banking | ERP Services and Operations | n/a | 2019 | 2019 |
In 2019, Bank Jago implemented Mambu Cloud Banking Platform as its Core Banking solution. The bank selected Mambu’s SaaS banking platform as the technology foundation for its transition to operating as a technology based bank, targeting a retail customer base exceeding five million and a roadmap to broaden product coverage.
The Mambu Cloud Banking Platform was configured to underpin everyday transactions and payments and to provide core account management and configurable product models, with explicit plans to extend capabilities into SME lending. Implementation emphasized cloud-native core banking functionality such as deposits and payments processing, product configuration, and account lifecycle workflows consistent with Core Banking platforms.
Deployment architecture leverages the global partnership between Mambu and Google Cloud, enabling Bank Jago to operate a cloud-hosted core while satisfying Indonesian in country data residency requirements. The implementation therefore combines Mambu’s SaaS platform with Google Cloud infrastructure to deliver a managed, cloud-based core banking stack.
Governance and operational coverage centered on enabling life centric digital financial services across Bank Jago’s Indonesia operations, aligning product and operating models to be more adaptive to customer needs. By implementing solutions from Mambu and Google Cloud, Bank Jago is able to swiftly introduce life centric digital financial services to all its customers, and the bank positioned the Mambu Cloud Banking Platform as a strategic foundation for its technology based bank operating model.
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Bank Jago AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Vertex AI | Generative AI Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, Bank Jago implemented Google Cloud Vertex AI to adopt Generative AI Platforms for customer engagement and operational automation under a multi-year collaboration with Google Cloud and technology partner DKatalis. The deployment leverages Google Cloud in-country infrastructure and BigQuery alongside Google Cloud Vertex AI to support a rapidly scaling digital ecosystem that serves more than 14 million customers, providing a fully-managed environment with built-in security and compliance features.
The implementation configures Vertex AI capabilities including Vertex AI Model Registry for centralized model governance, Vertex AI Pipelines for standardized validation and CI CD of model workflows, and access to Google’s foundation models via Vertex AI Model Garden for rapid prototyping. Bank Jago uses Google Cloud Vertex AI together with BigQuery for data analytics and model training, and applies Google Cloud data encryption and access controls to safeguard training data and production models.
Bank Jago has instantiated explicit functional modules on Google Cloud Vertex AI, including a risk management assistant that analyzes transaction patterns to surface fraud indicators and generate natural language alerts for staff, market intelligence assistants that convert text and audio customer engagements into actionable insights for product teams, and a contact center performance coach that reviews call recordings and provides personalized feedback to agents. These applications are integrated into operational workflows for risk and compliance, product development, contact center operations, and developer teams across Indonesia.
Governance and rollout emphasize controlled model usage and validated deployment paths, with the Vertex AI Model Registry enforcing pre approved or fine tuned models for organizational use and Vertex AI Pipelines providing a standardized pre deployment testing workflow. The collaboration notes that in the past three months Bank Jago successfully developed and deployed generative AI applications via Google Cloud Vertex AI, and that the contact center coach expanded evaluation coverage beyond the prior 5 percent sample rate, while Google Cloud infrastructure enabled dynamic scaling to support the bank’s growing digital customer base.
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Bank Jago Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google BigQuery | Data Warehouse | Analytics and BI | n/a | 2024 | 2024 |
In 2024, Bank Jago began a strategic deployment of Google BigQuery as its Data Warehouse in partnership with Google Cloud and DKatalis, leveraging in-country cloud infrastructure to support a rapidly expanding digital banking ecosystem. The deployment is framed as a multi-year collaboration to combine BigQuery analytics with Vertex AI capabilities to enhance customer experiences and internal efficiency while supporting more than 14 million customers as reported in the third quarter of 2024.
The implementation configures Google BigQuery as the primary analytics fabric, ingesting transactional and interaction data to feed generative AI workloads. BigQuery is integrated with Vertex AI components, including Vertex AI Model Registry and Vertex AI Pipelines, and uses Model Garden foundation models to accelerate development of gen AI applications. Functional capabilities implemented include centralized model management, pipeline-based model validation, natural language alerting for fraud detection, automated call recording analysis for contact center coaching, and market intelligence extraction that distills text and audio interactions into actionable reports.
Operational integration spans risk and compliance, product development, and contact center operations, with DKatalis acting as the bank’s technology solutions partner for implementation work. Google Cloud’s secure by design platform provides data encryption and access controls that are applied to Vertex AI model training and hosting, while BigQuery supplies scalable analytics and storage capacity. The architecture emphasizes a fully managed environment that can dynamically scale compute and storage to match peaks in customer activity across Indonesia.
Governance has been formalized through a Vertex AI Model Registry based model approval process, ensuring developers use only pre trained or fine tuned models that are explicitly authorized for organizational use. Vertex AI Pipelines implement standardized validation workflows to test AI solutions before full scale deployment, reducing duplicate assessments and accelerating time to production. Explicit outcomes documented in the collaboration include faster solution development through centralized model governance, and expanded contact center call evaluation coverage compared with the prior 5 percent sample rate without AI.
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Bank Jago Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2013 | 2013 |
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Collaboration | Collaboration |
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2026 | 2026 |
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Bank Jago Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Web Content Management | Content Management |
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2013 | 2013 |
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Web Content Management | Content Management |
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2024 | 2024 |
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Bank Jago CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2024 | 2024 |
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Bank Jago PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2017 | 2017 |
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Apps Development | PaaS |
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2025 | 2025 |
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Transactional Email | PaaS |
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2024 | 2024 |
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Bank Jago IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Domain Name System (DNS) | IaaS |
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2025 | 2025 |
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Bank Jago CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Security (AppSec) | CyberSecurity |
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2025 | 2025 |
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Web Application Firewalls (WAF) | CyberSecurity |
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2024 | 2024 |
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IT Decision Makers and Key Stakeholders at Bank Jago
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Bank Jago Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Bank Jago IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Bank Jago digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||
FAQ - APPS RUN THE WORLD Bank Jago Technographics
Bank Jago is a Banking and Financial Services organization based in Indonesia,
with around 490 employees and annual revenues of $92.0 million.
Bank Jago operates a diverse technology stack with applications such as
Mambu Cloud Banking Platform, Google Cloud Vertex AI and Google BigQuery,
covering areas like Core Banking, Generative AI Platforms and Data Warehouse.
Bank Jago has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Mambu and Google.
Bank Jago recently adopted applications including
Microsoft 365 in 2026, OpenResty ENTERPRISE in 2025 and Microsoft Azure DNS in 2025,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Bank Jago’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Bank Jago’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Bank Jago technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.