Bespoke AI EngineeringActive Workflow Orchestration
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
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.
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.
*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.
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.
Depending on your scale, we can bundle a predictable monthly allowance into the maintenance retainer or connect the system to your own OpenAI and Meta billing accounts with no agency markup. Any allowance and overage terms are confirmed before deployment.
Deployments are designed around Malaysia’s Personal Data Protection Act 2010 (PDPA). Client data is isolated in private environments, access is restricted by role, and supported model endpoints can be configured with zero-data-retention controls. Final safeguards depend on the selected cloud and model providers.
Yes. Under an active maintenance retainer, we update the knowledge base, refresh vector embeddings and recalibrate system instructions when your services, pricing or internal guidelines change, then validate the updated responses before release.