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Bespoke AI Engineering

CUSTOM AI AGENTS &BUSINESS AUTOMATIONIN MALAYSIA

We engineer proprietary AI agents, automated financial risk tools and operational workflows around your business logic—supported by continuous maintenance, prompt optimisation and dedicated cloud infrastructure.

Engineering BuildCustom Python / LangChain / Vector DB
Operational RetainerContinuous LLM tuning & monitoring
Data SecurityPDPA-aligned private data isolation
Kuala Lumpur, Malaysia · 12:38:36
Direct Answer

How does custom AI automation work?

Custom AI automation in Malaysia replaces repetitive manual operations with proprietary software agents connected to company databases, approved financial registries and the official WhatsApp Business API.

Production deployments follow an engineering sprint model: a one-time bespoke build creates the database connectors, workflow logic and vector pipelines. An active operations retainer then covers model routing, drift prevention, API maintenance, monitoring and the agreed uptime target.

ArchitectMap rules, data and integrations
DeployBuild, isolate, test and release
OperateMonitor, calibrate and maintain
System Intelligence

One private layer.Every operation.

Your knowledge, tools and approvals become one orchestrated system—with a human handover whenever judgement is required.

Orchestration onlinePrivate environment · MY-01
Custom AI automation system connecting business workflows and data
Observe → reason → act → verify
Intelligence layer

Your operational logic, translated into software.

Live workflow trace

Lead qualification

01
Inbound messageReceived

WhatsApp Cloud API

02
Knowledge retrievalGrounded

Approved vector sources

03
Business actionExecuted

CRM tag + team handover

Human approval gateEnabled
Agent statusActive
Knowledge syncCurrent
Data boundaryIsolated
Workflow routesMonitored
Core Engineering Verticals

Built around
the bottleneck.

FINANCIAL INTELLIGENCE

Automated Prospect Qualification & Credit Risk Scoring

The manual bottleneck

Sales teams lose days pursuing prospects that later fail financial checks or present a high invoice-default risk.

The architecture

Purpose-built ingestion pipelines can cross-reference authorised corporate registry, financial and credit data. The system parses debt exposure, legal actions and payment history to produce an explainable Approved / Caution / Rejected risk index for management review.

OPERATIONS & WORKFORCE

Smart Geofenced Attendance & Internal Workforce Systems

The manual bottleneck

Fingerprint machines fail, while per-employee HR subscriptions become expensive as the workforce grows.

The architecture

Lightweight attendance applications run in your private cloud. Teams check in through validated WhatsApp location coordinates or encrypted rotating QR tokens, with records synced to your SQL, payroll or reporting system.

REVENUE & RETENTION

Autonomous WhatsApp Inbound Sales & Support Agents

The manual bottleneck

After-hours leads abandon conversations when accurate answers do not arrive quickly.

The architecture

The official Meta WhatsApp Business Cloud API connects to a Retrieval-Augmented Generation (RAG) layer grounded in your approved documentation. The agent answers product questions, qualifies budgets, books appointments and updates your CRM, with response targets defined during solution design.

External financial data connections require the client’s licensed access and provider approval. Automated scores support—not replace—authorised human decision-making.

Infrastructure Reality

Build once.Operate always.

The engineering build creates your system. The active intelligence retainer keeps that live system accurate, secure and compatible as models, APIs and business rules change.

Architecture layer
One-time engineering build · Capex
Active intelligence retainer · Opex
System scope
Data engineering, pipeline architecture, API integrations and vector setup.
Live model usage, vector hosting and compute cycles.
Model accuracy
Initial RAG tuning, document chunking and system prompt engineering.
Prompt calibration, hallucination mitigation and edge-case patching.
API resilience
Connections to WhatsApp Cloud API, CRMs and payment gateways.
Version maintenance, breaking-change fixes and quota monitoring.
System support
Staging tests, security isolation and deployment sign-off.
Error-log monitoring, backup audits and the uptime SLA agreed for your deployment.
Swipe table horizontally →
Transparent Deployment Tiers

Choose the system. See the operating cost.

Every tier separates the initial engineering build from the ongoing resources required to run and maintain it.

Workflow Automation & WhatsApp Engine

From RM 699 one-time

For local service businesses. Active retainer from RM 150/month for API health checks, uptime monitoring and server upkeep.

  • Official WhatsApp Business Cloud API gateway
  • Logic-tree routing and keyword triggers
  • Team notification relays and lead tagging
  • Monthly API health checks and server upkeep
Scope Tier 1
Most Popular

Custom Autonomous AI Agent

From RM 1,799 one-time

For high-volume, multi-turn enquiries. Active retainer from RM 450/month, including the agreed model allowance.

  • Bespoke RAG for PDFs, catalogues and databases
  • WhatsApp API and website deployment
  • English, Bahasa Melayu and colloquial phrasing
  • Monthly prompt calibration and conversation review
Scope Tier 2

Enterprise System / Risk Scorer

From RM 2,399 custom scope

For corporations requiring internal tools and external data bridges. Active retainer is tailored to compute, API usage and SLA.

  • Custom internal workflow software
  • CTOS/SSM or geofenced attendance pipelines*
  • Private administration and analytics portal
  • Priority maintenance, compliance review and IP terms
Scope Tier 3

*Subject to data-provider licensing, API availability and client authorisation. Final scope, response targets, data handling, IP handover and SLA are documented in the proposal.

Operational Controls

Private by design.
Maintained in production.

Data isolation

Private environments, role-based access and provider controls selected for your risk profile.

Knowledge governance

Approved sources, versioned updates and validation before changed content goes live.

Model calibration

Conversation review, edge-case correction and prompt tuning throughout the retainer.

API maintenance

Monitoring and patches for upstream schema changes, quota issues and integration failures.

Answers

AI Automation FAQ

Need a technical answer for your workflow?

Talk to an engineer
AI agents are live software systems that interact with external language models, databases and communication APIs. The retainer covers compute resources, vector database hosting, prompt updates as your business changes, monitoring and rapid patches when upstream providers change their APIs.
Ready when the workflow is.

Turn one manual process into a working system.

Start a system brief