AI Solutions & Development

Custom AI Assistants for Business

Build secure AI assistants that use your business data and connect with your workflows.

Microsoft Technology PartnerMDEC ICT StatusHRD Corp RegisteredSince 2006

The service

Custom AI Assistants & Agents

We build secure AI assistants grounded in your business knowledge and connected to your workflows—helping your team find answers, support decisions and complete routine tasks.

  • Approved knowledge

    Answer questions using approved company documents and data.

  • Connected work

    Connect with business systems and workflows where appropriate.

  • Where people already work

    Be deployed through suitable channels such as web, Microsoft Teams or WhatsApp.

  • Controls that fit the task

    Include access controls, human review and monitoring appropriate to the use case.

Retrieval over approved documents, connections to business systems, and coordinating more than one agent are part of how a solution is built. They stay behind the assistant or agent your team actually uses.

Teams we work with

Retail, consumer goods, manufacturing, and banking

Shops, brands, plants, and finance teams, including banks where that is the engagement. The notes below are anonymised outcomes from long-term work, shared with permission, without naming clients on this page.

  • “We needed production software, not another demo. The team delivered a digital application we still run today — integrated with our Microsoft stack.”

    IT leadership, a leading automotive finance company in Malaysia
  • “Integration was the hard part. They connected our data platform and business systems so the AI solution could run in daily operations.”

    Head of Data, one of the largest banks in Malaysia

What We Build

What we build

Everyday jobs for a shop, a restaurant, or a small team: customer replies, staff questions, supplier bills, and a check on till activity.

Custom AI Assistants & Agents

The thing your team actually uses

A secure assistant for questions and daily tasks, or a helper that prepares a routine step. Customers and staff reach it on the web, in WhatsApp, or in Microsoft Teams. The owner or a manager still checks anything that should not go out on its own.

Use cases

  • Staff ask about a refund rule, today's promotion, or how a job is done, and get the answer from the price list or staff guide you already use.
  • Customers ask on WhatsApp or the web about price, stock, opening hours, or an order. Your team steps in for a complaint, a discount, or anything that needs a judgement.
  • A reply, an order note, or a missing detail is drafted first, and someone on your team confirms it before it is sent or saved.

Best for: Owners and small teams who want customers and staff answered without everything waiting on one person.

WebMicrosoft TeamsWhatsApp

Agentic AI Development

When the work has more than one step

Some jobs take more than one step. The assistant can look up the order, check the bill, or list the till transactions that need a look, then hand the exception to you. You still approve anything that changes money or a customer.

Use cases

  • Till review — sales that sit outside the usual pattern for that outlet and cashier, such as unusual voids, refunds, discounts, or sales outside opening hours, are listed with a reason. You decide whether each one is a mistake, suspicious activity, or fraud.
  • A WhatsApp order is written up with the items and the total, checked against what you sell, and passed to the person who confirms it before it is treated as a sale.
  • A supplier bill is checked against what was actually delivered. Only the bills that do not match are sent to the owner to sort out before payment.

Best for: Shops and service businesses with a job that repeats every day, where the owner still approves the exception.

Multi-step workflowsHuman reviewBusiness systems

Knowledge the assistant can use

Answers from your documents, not from the open internet

The assistant looks through the files you already keep — a price list, a staff guide, a product sheet — and answers from those. Your team can see which file the answer came from. Old or unapproved files stay out.

Use cases

  • Refund, discount, and opening-shift questions are answered from the staff guide that is current, with the page the answer came from.
  • A customer question about a product is answered from your own price list and product notes, not from a general guess.
  • A new cashier can ask how a refund or a void is done here, in English or Bahasa Malaysia, from the guide you give them.

Best for: Businesses whose answers already live in a price list, a staff guide, or a product sheet.

Approved documentsSource shownKnowledge upkeep

Fit the model to your context

When general answers are not enough

Most assistants start from a general model and your own files. Extra tuning is for when the replies still do not sound like your shop, or they miss the names your customers use. The tools are chosen for the job and the budget.

Use cases

  • WhatsApp replies sound like your business, not like a call centre, and stay inside the offers you actually run.
  • Your product names, bundle codes, and the Malay-English mix customers use in chat are recognised as they are.
  • You already have replies you were happy to send and replies you would not. Later replies follow those examples.

Best for: Owners who can point to messages they would send and messages they would not.

House styleSpecialist languageReviewed examples

Delivery Stack

How our AI architecture works

Oxydata's AI architecture brings together enterprise data, AI models and business tools to deliver solutions that can answer questions, support decisions and carry out tasks—with human oversight.

The Complete Oxydata AI Architecture — Solution Tracks, Interaction Plane, Agent Orchestration, Knowledge & RAG, Model Management, Trust Foundation, and Infrastructure

Layer by layer

01Channels & Experiences

Users interact through the web, Microsoft Teams, WhatsApp, voice or internal tools, bringing an AI assistant or agent into everyday work.

02Interaction Plane

Chat interfaces and APIs connect users and business applications to the AI platform. Human feedback helps teams review responses and improve the experience.

03Agent Tier

Specialised agents research information, support decisions and perform actions. Orchestration coordinates their work, while connected tools enable web searches, document processing, database queries, code execution and workflow automation. Task queues support background processing and parallel workloads.

04Core Platform

Enterprise knowledge connects AI to company documents, databases, policies and systems through retrieval-augmented generation (RAG). Model management allows solutions to use different AI providers according to business requirements. The foundation supports monitoring, evaluation, guardrails, security and data residency requirements.

05Infrastructure

Cloud computing and enterprise data platforms provide the underlying capacity to run, integrate and scale the solutions.

Proof from the field

Published outcomes and case studies

Results and approaches we can point to on Oxydata Insights — linked to full articles, not hypothetical industry stats.

  • Case study · HR & Recruitment

    70% less screening time

    TechTalent, a licensed recruitment agency in Malaysia, used OPAL to stop volume-led shortlists — saving 70% of screening time, improving CV quality by 85%, and rebuilding hiring manager trust with structured candidate summaries.

    Read case study →
  • Case study · Enterprise hiring

    Quality before human review

    When vendor volume lands on a technical lead's desk every week, good candidates get missed and hiring slows down. How BMW Credit Malaysia used OPAL to enforce quality before human review.

    Read case study →
  • GenAI · Education / RAG

    24/7 admissions answers

    Most Malaysian college websites fail prospective students at the first enquiry. RAG-powered AI admissions agents answer qualification questions, fees, and booking requests instantly — 24/7 in Bahasa Malaysia or English.

    Read article →
  • Automation · WhatsApp / SME

    Faster replies, less manual work

    For many Malaysian SMEs, WhatsApp is where business happens — but manual replies create bottlenecks as volume grows. A well-designed WhatsApp AI agent can answer common questions instantly, qualify leads, and free your team for work that needs a human.

    Read article →

Our Process

From idea to production in weeks

01

Discovery Call

A free 30-minute call to understand the use case, the documents, and the systems involved. No obligation.

02

Use Case & ROI Design

We define the right AI use case, expected outcomes, and a realistic implementation plan.

03

Build & Integrate

Our engineers build, test, and integrate the solution into your existing systems and workflows.

04

Deploy & Optimise

We deploy, monitor, and continuously improve the solution based on real usage data.

Why Oxydata

Built for Malaysian businesses

Malaysian Context

We understand Bahasa Malaysia, local business culture, Malaysian compliance requirements, and how decisions are made here — not a foreign vendor guessing.

Microsoft Technology Partner

Certified Microsoft partner, with Azure, Azure OpenAI, and Dynamics 365 when that stack is the right fit. Custom assistants and agents are not limited to Microsoft.

Practical Over Impressive

We don't build demos. Every solution we deliver is designed for real adoption, measured by actual business outcomes — not by how good it looks in a slide deck.

In Business Since 2006

We've survived multiple tech cycles. When your AI agent has a production issue at 2am, we'll be here — not a startup that pivoted six months ago.

Model-Agnostic

We work with OpenAI, Anthropic, Google, and open-source models. We recommend what's right for your budget and use case — not what we're paid to push.

End-to-End Delivery

Strategy, build, integrate, train, deploy, support. One partner for the full journey — no finger-pointing between consultants and developers.

From Oxydata Insights

View all insights →

FAQ

Common questions

What GenAI services does Oxydata offer in Malaysia?

Oxydata builds custom AI assistants and AI agents for Malaysian businesses. Assistants answer from approved company documents and data. Agents can connect to business systems and help complete routine tasks. Supporting work includes retrieval over your knowledge, workflow connections, and model tuning — scoped to the use case.

How long does it take to build a GenAI solution?

Timing depends on the use case, how ready the source documents and data are, and how many systems the assistant or agent needs to reach. A focused assistant is a smaller engagement than an agent that works across several business systems. We estimate after a discovery conversation, not from a fixed catalogue.

Do you work with Malaysian SMEs or only large enterprises?

Both. Oxydata has worked with SMEs, GLCs, and enterprise clients including BMW Credit Malaysia, Hong Leong Bank, CelcomDigi, AirAsia, and Petronas since 2006. Our GenAI services are scoped to match your budget and business stage — not priced for Fortune 500 by default.

Which AI models and platforms do you use?

We are model-agnostic. We work with OpenAI (GPT-4o, GPT-4o-mini), Anthropic Claude, Azure OpenAI, Google Gemini, and open-source models including Llama and Mistral. We recommend based on your use case, data sensitivity, and budget — not vendor preference.

Is my business data safe when you build AI solutions?

Yes. We follow strict data handling practices — local and Azure-hosted deployment within Malaysian/SEA data regions, no training of public models on your proprietary data, and full compliance with PDPA Malaysia. For sensitive environments we can deploy entirely on-premise or within your own cloud tenant.

What is the difference between an AI assistant and an AI agent?

An AI assistant helps people find answers and support decisions, usually in conversation, using approved company knowledge. An AI agent can also take steps in a workflow — for example looking up a record or preparing a routine task — with access controls and human review where the use case needs them. Neither one is tied to a single vendor. Microsoft 365 Copilot is a separate Microsoft product; we build custom assistants and agents on the platform that fits the job.

Do you integrate AI with our existing systems?

Yes — integration is central to how we work. We connect AI solutions to your CRM, ERP, ATS, WhatsApp Business, Microsoft Teams, SharePoint, databases, and REST APIs. We build around your existing stack, not as a replacement for it.

How is Oxydata different from a typical IT vendor or system integrator?

Most SIs resell licenses or implement off-the-shelf tools. Oxydata builds custom AI systems scoped to your specific workflow, data, and business logic. We have years of data and AI engineering experience predating GenAI — and we don't oversell what AI can realistically do for your business.

How is your work priced?

We scope and price per project based on complexity, the systems involved, and data readiness. A focused assistant and a multi-step agent across several business systems are different engagements. Talk to us — we'll give you a practical estimate after a discovery call, with no obligation.

What happens after the solution is deployed?

We don't hand over a zip file and disappear. Post-deployment we monitor performance, handle production issues, and iterate based on real usage data. Ongoing support and optimisation retainers are available for clients who want a long-term AI partner rather than a one-time vendor.

AI solutions consultation

Ready to scope an AI assistant or agent?

Tell us what you're trying to automate or improve. A free 30-minute call, with no obligation and nothing to buy at the end.