Microsoft Stack Gravity
Reuse Entra identity, Conditional Access, and Microsoft 365 collaboration patterns so AI assistants inherit how staff already sign in and share documents.
Adopt Azure OpenAI and cognitive services with clear use cases, data boundaries, and integrations into the CRM, ERP, and Microsoft 365 systems your teams already trust.
Azure AI is Microsoft’s family of AI services on Azure—including Azure OpenAI, document intelligence, speech and language APIs, and machine learning tooling—so Malaysian organisations can automate knowledge work without abandoning Microsoft identity and cloud governance.
Xantec helps you pick one high-value workflow, design retrieval and prompts, set data boundaries, and integrate assistants into support desks, document processing, internal copilots, and process automation. Prefer a broader multi-model AI programme? See our AI solutions page. Need the cloud foundation first? Start with Azure Cloud.
Generic chatbots are easy to demo and hard to trust. Azure AI wins when you need Microsoft tenancy controls, Entra alignment, and AI that sits inside real business systems—not a separate toy portal.
Reuse Entra identity, Conditional Access, and Microsoft 365 collaboration patterns so AI assistants inherit how staff already sign in and share documents.
Azure OpenAI and related services sit inside your Azure subscription with role-based access, networking options, and logging you can show to IT and compliance stakeholders.
We start with one measurable use case—document extraction, case summarisation, quotation drafts—then expand only when quality and cost are stable in production.
Johor Bahru–rooted workshops, Bahasa Malaysia and English content realities, and integrations to WhatsApp, CRM, and accounting that Malaysian SMEs actually run.
Practical Azure AI capabilities for Malaysian businesses—designed to ship, govern, and integrate—not slide-deck science projects.
Design and deploy assistants and copilots on Azure OpenAI with prompt strategy, retrieval over your approved content, and usage controls finance can understand.
Extract fields from invoices, purchase orders, forms, and contracts so finance and ops stop re-keying—with human review where accuracy and audit matter.
Apply translation, classification, speech, and other cognitive services when structured AI tasks beat a full generative assistant.
Ground answers in SharePoint, knowledge bases, or approved manuals so staff get faster answers without inventing policy.
Connect Azure AI to CRM, Dynamics, WhatsApp, ticketing, and custom apps so insights and drafts land where work already happens.
Define access, retention, evaluation, and monitoring so pilots can graduate to production without surprising legal or IT.
Focus on workflows where minutes saved and fewer errors show up on the P&L—then scale what works.
Summarise cases, draft replies, and suggest knowledge articles while agents stay accountable for the final customer message.
Draft follow-ups, summarise opportunity notes, and accelerate proposal text from approved product and pricing content.
Capture structured data from PDFs and scans into finance or purchasing workflows with exception queues for human review.
Help HQ and branch staff find the right SOP, price list, or policy faster—grounded in documents you control.
Classify tickets, flag anomalies, and route work so supervisors spend less time sorting noise and more time resolving exceptions.
Pair Azure data foundations with Power BI when leaders need dashboards—not only chat—on top of cleaned operational data.
Malaysian buyers care about PDPA posture, data residency choices, and who can see prompts and outputs. We design those controls up front.
Decide what content models may retrieve, what must stay out of prompts, and how logs are retained for audit and debugging.
Map Entra roles so only the right teams can configure endpoints, view telemetry, or approve production changes.
Define quality checks, red-team scenarios, and human-in-the-loop steps for high-risk outputs like customer replies or finance extractions.
Budget alerts, rate limits, and per-workflow metering so Azure AI spend stays visible as adoption grows.
Model demos are cheap. Production AI needs process workshops, integration discipline, and a partner who stays after the pilot.
Azure AI sits on identity, data, and applications. We plan those neighbours deliberately.
Secure networking, Key Vault patterns, and monitoring so AI endpoints are not exposed like a public experiment.
Ground assistants in SharePoint and approved knowledge while respecting permissions staff already understand.
Push summaries and drafts into Dynamics, custom CRM, or ticketing so agents work in one timeline.
Wrap Azure AI behind your APIs with retries, observability, and productised UX for counters and mobile teams.
A structured path from opportunity to governed production—so pilots do not die in PowerPoint.
Pick one workflow, define success metrics, data sources, and risk boundaries in a written scope.
Choose Azure OpenAI or cognitive services, retrieval strategy, UX, and integration contracts with IT and process owners.
Build a limited production slice with evaluation sets, human review, and cost monitoring.
Connect to CRM, Microsoft 365, WhatsApp, or custom apps and harden access, logging, and failure handling.
Hand over runbooks, watch quality and spend, then add the next workflow only when the first one is stable.
Azure AI refers to Microsoft’s AI services on Azure—commonly Azure OpenAI, document intelligence, speech and language APIs, and related tooling. Xantec implements these for Malaysian teams with local workshops, governance, and system integrations.
Yes, subject to Microsoft regional availability and your tenancy setup. We guide subscription access, model selection, networking options, and responsible-use policies for your organisation.
We start with one high-value workflow, define success metrics, and only expand when retrieval, prompts, and integrations prove stable in production—with cost and quality visible to owners.
No. Model rates and promotions change. We estimate usage for your pilot and quote commercial scope in writing after discovery, with SST stated on the quotation.
Azure OpenAI runs in your Azure environment with enterprise identity, networking, and logging options. We also ground answers in your approved data and integrate into business systems—rather than leaving staff to copy-paste in a consumer chat window.
Yes. Common patterns include case summarisation in CRM, draft replies for agents, and WhatsApp-assisted triage with ownership rules. Integrations are scoped with the same security standards as the rest of your Azure estate.
Often yes for production. Identity, networking, secrets, and monitoring should be sound before AI endpoints go live. If your landing zone is incomplete, we address that on our Azure Cloud page first.
We define what content may be retrieved or logged, limit access with Entra roles, and keep human review on high-risk outputs. Exact controls depend on your counsel’s guidance and the data classes in scope.
Use focused cognitive or document APIs when the task is structured—extraction, translation, classification—and a generative model would add cost or unpredictability without benefit.
Share the workflow you want to improve. We run a short discovery, propose a pilot with metrics and data boundaries, then implement, integrate, and optionally support operations after go-live.
Tell us which workflow you want to improve—we will propose a scoped Azure AI pilot with governance, integrations, and commercial clarity.