For AI and machine learning, do you need internal data first?

Usually no. Applied AI integration can start from an existing model interface and a clear workflow. For custom AI, machine learning, or native LLMs, evaluation is clearer when internal data, documents, SOPs, case examples, targets, and usage boundaries are agreed from the start.

What most affects web systems engineering cost?

Website cost is most affected by page count, design complexity, CMS or admin-panel needs, copywriting, SEO, integrations, forms, payments, security, and timeline targets. Simple websites can be built faster, while business websites with special features need a more detailed scope.

When is a desktop systems engineering more suitable than a website?

Desktop applications are more suitable when a system must run reliably on local computers, use special devices, access local files, operate on an internal network, require specific performance, or remain usable when internet access is limited.

Do mobile and field systems need to be built for Android and iOS at the same time?

Not necessarily. Platform priority can be determined by the majority of users, budget, release target, and required device features. A project can start from Android, iOS, PWA, or a cross-platform approach depending on business needs.

What is included in routine maintenance?

Routine maintenance can include backups, minor updates, security patches, basic monitoring, hosting or server checks, small bug fixes, and system condition reports. New feature development is usually discussed separately as enhancement or reserved engineering work.

When should a company use a reserved engineering capacity?

Reserved engineering capacity fits when a system is already running but still needs feature updates, technical evaluation, performance optimization, consultation, work prioritization, and ongoing roadmap development without starting a new project from zero each month.

How quickly can an issue be investigated through troubleshooter service?

Investigation can begin after access, issue chronology, screenshots, logs, and reproduction steps are available. Handling usually starts remotely to find the root cause, stabilize the issue, and provide further repair recommendations if needed.

Can technical continuity be done onsite and remotely?

Yes. Remote support fits system configuration, user assistance, system checks, and technical coordination. Onsite support can be discussed for device, network, installation, operations training, or issues that require a technician to be present.

Can engineering scope be adjusted to requirements?

Yes. Scopes on this page are initial estimates. Final scope and budget depend on service type, feature count, integrations, data, user roles, AI needs, infrastructure, security, and implementation targets.

How long does AI and machine learning work take?

API-based applied AI integration usually starts from 3-8 weeks. Internal-data custom AI, RAG, light fine-tuning, evaluation operational intelligence interfaces, or workflow integrations generally take 2-4 months. Native LLMs, large-model training, security evaluation, GPU deployment, and MLOps can take 4-12 months or more.

What is the difference between applied AI integration, custom AI, and native LLM?

Applied AI integration connects model capability to governed workflows, data boundaries, and operational review. Custom AI adapts open-source or existing models with data, SOPs, documents, and business workflows through RAG, fine-tuning, instruction tuning, embeddings, and system integration. Native LLM work covers model ecosystem control across datasets, training pipelines, inference servers, deployment, security, observability, and cost optimization.

Is project and client data confidentiality protected?

Yes. Project information, internal needs, system access, datasets, and work files are handled professionally. For sensitive projects, access mechanisms, data restrictions, work documentation, and supporting agreements can be discussed from the start.

Can every type of AI project be handled?

Not all. PT XIPTOR SOFTWARE SERVICE only accepts projects that are legal, safe, and have a clear intended use. The company refuses malware, phishing, spyware, fraud automation, data theft, system manipulation, or technology that could harm others.

Website & Deeptech Platform Engineering | PT Xiptor Software Service

Category 02

Website & Engineered Systems

Web systems for transactional operations, content workflows, integrations, and analytics. The architecture is documented around domain boundaries, security controls, observability, and maintainable release paths.

Application Frontend

Next.js, React Server Components, design tokens, accessibility states, responsive layout rules, and measurable performance budgets.

Service Backend

Node.js, Python, or Go services with API versioning, request validation, queues, background jobs, rate limits, and structured logs.

Data & Persistence

PostgreSQL, Redis, object storage, search indexes, optional vector storage, backup policy, retention rules, and migration notes.

Security Controls

OAuth 2.0/OIDC, RBAC, MFA, CSRF/XSS controls, encryption in transit and at rest, audit logs, and secure session handling.

Cloud & Infrastructure

Containerized deployment, CI/CD, CDN or edge delivery, environment separation, infrastructure notes, metrics, logs, and rollback paths.

Integration & Workflow

Payment providers, email or WhatsApp workflows, CRM webhooks, scheduled jobs, event queues, and audit-friendly automation records.

Focused Scope

Focused web system scope for principals or small teams that need procurement-ready specification and controlled delivery documentation.

Enterprise architecture consulting for a focused executive web platform
Procurement documentation for scope, acceptance criteria, and launch readiness
Performance engineering baseline with static delivery, asset governance, and Core Web Vitals targets
SEO information architecture with metadata, schema signals, sitemap, and index-control policy
Secure inquiry pipeline with routing logic, spam defense, lead attribution, and audit-friendly records
Executive launch report covering risks, technical assumptions, analytics baseline, and next-phase roadmap

USD 2.080.960 IDR 36.000.000.000 Request Scope

Professional

Corporate web system for service operations, sales workflows, governance, integration planning, and measurable funnel architecture.

Enterprise governance framework for content ownership, approval flow, and campaign control
API governance blueprint for CRM, ERP, payment, automation, and third-party integration readiness
Event-driven lead architecture with source tracking, validation, notification routing, and conversion telemetry
AI operational intelligence readiness for lead scoring, service recommendation, and executive funnel reporting
ISO 27001 advisory alignment for access, data handling, vendor dependency, and operational control notes
Executive reporting system for traffic quality, funnel performance, conversion risk, and improvement backlog

USD 2.312.160 IDR 40.000.000.000 Request Scope

Platform Scope

Pro (Platform Ready)

Platform modernization scope for teams building a governed digital product with backend services, intelligence layer, compliance readiness, and DevOps handover.

Legacy system modernization plan for migrating static, manual, or fragmented workflows into a platform-ready stack
Event-driven architecture for user activity, content workflow, notifications, billing signals, and operational events
Predictive analytics engine readiness for product usage, funnel behavior, retention indicators, and executive insight
SOC2 readiness program covering auth, audit trails, access control, change logs, and evidence preparation
Embedded DevOps/SRE handover with staging pipeline, release checklist, observability plan, and rollback protocol
Procurement technical package: architecture map, data model, API contract, runbook, and compliance notes

USD 3.930.640 IDR 68.000.000.000 Request Scope

Enterprise Engineered System

Enterprise Engineered System architecture program for high-dependence platforms requiring resilience, multi-region operations, security integration, and dedicated engineering capacity.

Multi-region deployment architecture with active-active redundancy and low-interruption infrastructure strategy
Event-driven integration layer with governed API contracts for CRM, ERP, payments, logistics, data pipelines, and operational automation
DR site orchestration with backup topology, recovery objectives, failover workflow, and incident-command runbook
SIEM integration and DLP implementation planning for security telemetry, sensitive-data control, and audit evidence
Dedicated engineering squad with embedded DevOps/SRE team for release governance, reliability, and operational continuity
Executive reporting system and procurement documentation for architecture, risk, compliance, SLA, and investment review

USD 6.936.400 IDR 120.000.000.000 Request Scope