Forward Deployed Engineering · Powered by LubiSoftAI

AI consultants who go into the field, solve real problems, and prove the impact

Companies don’t buy “AI” , they buy solutions. LubiSoftAI deploys Forward Deployed Engineers into your workflow: we find the most expensive operational bottlenecks, integrate AI into your data and systems, and measure the financial impact.

Discuss Your Problem See Example Cases

On-site: Batam · MY · SG · SA · GCC Free initial consultation

Trusted by leading organizations committed to operational excellence

Your Company

Proven at Scale

Real impact. Not just a demo.

Users

Companies

AI Agents Built

Knowledge Bases

Why LubiSoftAI

Why companies need an FDE

The Technology Gap

Many businesses know they need AI, but lack the technical skill to integrate it into their workflow. An FDE closes that gap with a specific solution.

Business Impact, Not Technology

You are not buying an AI model , you are buying outcomes: lower operating costs, time returned, and higher revenue.

Data Security & Integration

Sensitive data stays on your infrastructure , local servers or a private cloud , with integration tailored to your company’s unique needs.

An Industry Shift

The future is no longer about creating new AI models. It is people helping other people adopt AI. That is the strategic role of a Forward Deployed Engineer.

Services

From a real problem to a solution that runs

Implementation

Workflow Automation

Identify repetitive, time-draining processes, then build AI agents that take them over , operations run smoother at a far lower cost.

Level 2 AI

Business Data Integration

Connect your financial reports, inventory, and operational data to an AI agent for sharper analysis and faster decisions.

Enterprise

Data Security & Private Cloud

For larger companies, AI can run on your own local servers or private cloud , with secure integration to legacy systems and enterprise APIs.

Reliability

Harness Engineering

The AI model is only the “brain”. We build the body and nervous system , control loops, tools, memory, and security sandboxes , so it works reliably in the real world.

Example Cases

These are examples of problems our team can solve

Four common scenarios companies face , with the approach and estimated impact. Have a similar problem or another problem? Let’s talk.

Customer Service · Automated WhatsApp Chat

Support is overwhelmed: thousands of chats about stock, price & shipping

A fit for: Stores, distributors & services · high chat volume

The problem

Thousands of questions come in each month via WhatsApp , stock, price, shipment status. Answers live in people’s heads and scattered files, response times drag, and complaints pile up.

Unified knowledge base: SOPs, product catalog, and return policy in one source
WhatsApp agent connected to live stock and tracking, with smart human escalation
Regular evaluation: answer accuracy, latency, and cost-per-chat are monitored

WhatsApp APIRAG PipelineStock & Tracking APIObservabilityHuman-in-the-loop

Estimated potential impact

82%

Estimated chats answered automatically

27 sec

Response time (from minutes)

-45%

Estimated CS operating cost

Discuss a similar case

The numbers above are illustrative, based on common scenarios , actual results depend on your company’s conditions.

On-Site Coverage

Our team comes to your location

Good AI is born from understanding the field. We fly to your office, plant, and data center , from Batam to the Middle East.

BaseID

Indonesia

Batam · Jakarta · Surabaya

Operational base , response under 24 hours, no travel fee for Batam.

Malaysia

Kuala Lumpur · Johor Bahru · Penang

Ferry/overland from Batam , ideal for a 2–3 day discovery.

Singapore

Singapore · Tuas · Changi

45 minutes from Batam , workshops and integration in your office.

Saudi Arabia

Riyadh · Jeddah · Dammam

Enterprise focus: private cloud and local data compliance.

GCC

GCC countries

UAE · Qatar · Kuwait · Bahrain · Oman

Rotating on-site schedule , one proposal for multiple countries.

How does an on-site visit work?

2–3 day discovery
Map the workflow and the most expensive cost points on site.
Direct integration
Connect to your servers, VPC, and legacy systems , securely, with your team.
Training & handover
Your team is trained until they can run it , not left with a dashboard.

We can depart within 3–7 days after the discovery call. Travel costs are transparent in the proposal.

Schedule a Visit

Measure

Reliable & Measurable

Agent performance is monitored with objective metrics , RAG accuracy, latency, cost-per-request , because businesses will not pay for a solution they cannot measure.

Secure

Your Data Stays Yours

Deploy on your local servers, private cloud, or VPC, with strict access control and security sandboxes.

Adopt

A Team That Actually Uses It

Expectations are set from day one, the solution is explained in business language, and your team is guided to change how they work with AI , not left to figure it out alone.

Our Workflow

From a business problem to a production-grade solution

We come to your company, understand the business problem, then design and implement a production-grade solution.

Customer Problem

Start from your real business problem, not from the technology.

Architecture Assessment

Assess the systems, data, and workflows you already have.

AWS Architecture

Design a secure, scalable cloud architecture.

AI / LLM Integration

Integrate models and AI agents with your data and tools.

Implementation

Build a production-grade solution in your real environment.

Deployment

Deploy securely to your infrastructure , local or cloud.

Observability

Monitor performance, agent steps, and cost in real time.

Optimization

Keep improving, re-measure, and grow the impact.

How our team builds your AI Agent

Problem Discovery

Everything starts from a real business problem , not the technology. We map your workflow and find the most expensive bottlenecks.

Data & Knowledge Base Integration

Connect your operational data , SOPs, catalogs, financial reports, inventory , to the agent as its knowledge base and working context.

Harness Engineering

Build the infrastructure around the model: control loops, tool access, memory, security sandboxes, and context management so the agent stays on track when it works automatically.

Observability & Evaluation

Monitor every agent step with observability tooling, measure performance objectively, and keep refining it.

Have an operational problem that hurts?

Our team works on the ground , from Batam to Malaysia, Singapore, Saudi Arabia & the GCC , finding the most expensive problem in your business and building AI that pays for itself. Initial consultation is free.

Chat with Our Team on WhatsApp

On-site available: Batam · Jakarta · KL · Johor · Singapore · Riyadh · Jeddah · UAE · Qatar · Kuwait · Bahrain · Oman

Frequently Asked Questions

Everything you need to know. Can’t find the answer? Contact us

An FDE is an engineer who works inside the customer’s environment , not from a desk far away. We customize, integrate systems, and make sure the solution actually runs on your servers and real workflow, not just as a demo.

If the AI model is the “brain”, the harness is the body and nervous system: tools, data access, security bounds, memory, and context management. The harness is what turns a passive model into an agent that takes real actions , without hallucinating or drifting when it runs automatically.

Generic AI tools answer from general knowledge. We start from your business problem, integrate with your data and systems, and configure it to your specific process , acting as a team member, not a search engine.

Yes. For larger companies, we can run AI on your local servers or private cloud, with tight integration to legacy systems and enterprise APIs that take data security seriously.

Based on the financial impact produced , cost savings or revenue lift , not just hours worked. That is why every project starts with discovery and measurable targets.

Through harness engineering: context management (progressive disclosure , data reaches the model only when needed), security bounds, and an evaluation framework with RAG, latency, and cost-per-request metrics, so reliability can be measured, not claimed.

No , that is exactly the FDE’s role: bridging the technology gap. We also guide the change in how your team works, because AI adoption is a people problem, not just a technology problem.

We can come on-site to Batam and all of Indonesia, Malaysia (KL, Johor), Singapore, Saudi Arabia (Riyadh, Jeddah), and GCC countries (UAE, Qatar, Kuwait, Bahrain, Oman) , plus remote support for ongoing work. We can depart within 3–7 days after the discovery call, with travel costs transparent in the proposal.