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Nagatama Services

AI Applications for Business

Most AI pilots stall for the same reason: the model is impressive in a demo but nobody can tell where its answer came from, who is allowed to ask, or what happens when it is wrong. Adoption follows governance, not novelty.

We build AI features into the systems people already use, grounded in your own data, with citations, permissions, escalation paths, and audit logs. If the model cannot answer safely, it says so and hands over to a human.

Our own products — NagaBrain AI, NagaListen AI, SocialBridge AI, Mekanik.AI, and the AON defence console — are where these patterns were proven before we applied them to client work.

AI Capabilities We Implement

Internal assistants grounded in your knowledge base

Retrieval over your SOPs, contracts, and manuals with citations back to the source document, scoped to what each user is permitted to read.

Document and image intelligence

Extracting structured data from invoices, delivery notes, ID documents, and field photos, with a human review step before anything is posted.

Monitoring and early warning

Sentiment, anomaly, and crisis detection across social channels or operational telemetry, with tiered alerts and recommended escalation.

Drafting and workflow automation

Reply drafting, summarisation, classification, and routing inside an approval flow, so speed never costs you control of what is sent.

Governance, Cost, and Accuracy

Model calls run through a server-side gateway: keys are never exposed to the browser, prompts and responses are logged, per-tenant usage and spend are metered, and requests outside the allowed scope are refused. Answers are grounded in retrieved context with explicit confidence, frequent questions are served from a cached answer store to cut cost, and every AI-assisted decision is attributable in the audit trail.

Technology We Use

An AI gateway with model routing so a cheaper model handles routine traffic and a stronger one handles hard cases, vector search over PostgreSQL for retrieval, streaming responses for a responsive interface, and prompt-injection and abuse filtering at the edge.

How We Work

Every project runs through the same five stages, so you always know where the work stands and what you receive at each step.

1. Discovery and requirements analysis

We map your business processes, user roles, the data that flows between them, and the legacy systems that must stay alive. The output is an agreed requirements document with a prioritised module list.

2. Architecture and interface design

Database schema, permission model, integration flows, and screen designs come first. Prototypes are validated with key users so big changes happen while they are still cheap.

3. Incremental development per module

Work runs in short sprints. Each sprint produces a version your team can genuinely try in a test environment — not a progress percentage on a slide.

4. Testing, security, and UAT

Functional testing, load testing, permission review, and User Acceptance Testing with real users. Findings are fixed before the system is declared production ready.

5. Deployment, training, and maintenance

Production release, data migration, user training, documentation, monitoring, plus maintenance and continued development packages sized to your company.

Where We Deliver

Nagatama serves companies across Indonesia — Greater Jakarta, Bandung, Semarang, Surabaya, Denpasar, Balikpapan, Makassar, and Medan — and works with clients in Singapore, Malaysia, and Australia. Collaboration is remote-first with scheduled online meetings, a demo every sprint, and on-site visits for projects that need field observation such as warehouses, plants, or branch offices. English is a working language for documentation, meetings, and delivery.

Case Studies & Related Work

These are products we designed, built, and run ourselves for comparable needs. Every one can be opened and tried — see the full collection in the Nagatama portfolio.

Frequently Asked Questions

Will our data be used to train public models?

No. Requests run through providers and configurations that exclude training on your content, and sensitive fields can be redacted before any call leaves our servers.

How do you stop the AI from inventing answers?

Responses are grounded in retrieved documents with citations, the scope is restricted to your domain, and when confidence is low the assistant declines and routes the question to a human.

How much does running AI cost each month?

Cost depends on volume and model choice. We route routine traffic to inexpensive models, cache repeated answers, and expose per-tenant usage so spend stays visible and controllable.

Can AI be added to a system we already have?

Yes. We integrate through your existing APIs or database and add the assistant, extraction, or monitoring layer without rebuilding the underlying application.

Can it work in Indonesian and English?

Yes. Our assistants handle both natively, including mixed-language input, and can be constrained to answer only in a chosen language.

Other Services

Discuss your requirements with the Nagatama team

Tell us about the process and the bottleneck you want solved. We will come back with a recommended module breakdown, timeline, and delivery phases — the first consultation is free.