From experimentation
to production at scale.
From AI experiments to production at scale — a structured, Microsoft-aligned engagement delivered in your Azure tenant.
AI Transformation Offer
in detail.
Many organizations have run AI proofs of concept but struggle to convert them into governed, secure, production-grade delivery. Applab’s AI Transformation Offer addresses this gap with a structured engagement that takes customers from envisioning through architecture through live operations — in one team, one program.
Stalled Proofs of Concept
AI initiatives validated in PoCs but unable to translate into governed production deployments.
Missing AI Governance
Use cases proliferate without prioritization, ownership, or operating structures to manage them at scale.
Azure Not AI-Ready
Existing landing zones lack the architecture, networking, and security required to host AI workloads safely.
Unclear Use Case Priority
Teams need a structured way to prioritize, validate, and sequence AI use cases against business value and risk.
Low GenAIOps Maturity
Operations, observability, and Responsible AI controls are not in place to run AI in production.
AI Sprawl Risk
Without structure, AI initiatives create technical debt, compliance exposure, and uncoordinated investment.
Numbers that deliver.
Book a personalized walkthrough with one of our solution architects.
Three things that make it different.
AI CoE & Solution Envisioning
Outcome: An operational AI Center of Excellence with prioritized use cases and a validated rapid prototype.
Our approach includes: Leadership alignment. AI CoE setup. Use case prioritization via AI Patterns Scorecard. Rapid prototyping for the selected use case.
Azure AI Foundation Architecture
Outcome: AI-ready Azure landing zones for dev, test, and production — secure, governed, and ready for workload deployment.
Our approach includes: GenAI Building Blocks. AI Landing Zone via Cloud Adoption Framework. Governance, networking, security, data foundation.
GenAI Factory & GenAIOps
Outcome: A production-ready MVP delivered, plus repeatable GenAIOps capability for future use cases.
Our approach includes: GenAIOps maturity assessment. MVP build. CI/CD pipelines and observability. Responsible AI, content safety, hallucination controls.
Built on proven
Azure services.
Enterprise scalability. Security. AI-powered intelligence. Full DevOps lifecycle.
ATO-Aligned Methodology
ATO-aligned approach using Microsoft AI CoE and Cloud Adoption Framework principles.
Arabic-First Delivery
Arabic and English workshops supported by a 71% Arabic-speaking team.
Customer-Tenant Deployment
Artifacts and Azure deployments delivered within the customer’s own tenant.
Productized Methodology
Reusable scorecards, landing-zone patterns, and GenAIOps templates.
Microsoft Co-Investment Pathway
Eligible engagements may qualify through the Microsoft account team.
Full-Stack Engineering
One team across envisioning, architecture, MVP build, and operations.
Deployed in Qatar’s
most demanding environments.
Built from production-proven components already deployed in Qatar. Arabic-first design and enterprise governance from day one.
A national planning authority
AI-driven planning and statistics platform — production AI deployment for national policy.
An economic zones developer
Enterprise digital transformation with AI-enabled investor services and platform integration.
A major education and research foundation
360 Observatory platform with multi-source AI analytics and decision dashboards.
Performance Management Platform
Integrated Performance Management System — AI-grounded data foundation and KPI engine.
A national museums authority
AI-powered cultural heritage platform with bilingual experiences and digital curation.
Social Insurance Authority (Digital Assistant)
Production AI assistant for public sector retiree services — bilingual, voice-enabled.
National News Organization
Newsroom AI content agent with structured bilingual summaries in real time.
A national sports organization
AI-driven sports federation engagement platform — an executive engagement assistant.
Built for your environment.
Designed for customer-tenant deployment on Azure. Applab manages delivery, configuration, and ongoing support.
Ideal for
Government ministries, regulated enterprises, and large public-sector organizations beginning or scaling AI programs.
Geo availability
Qatar and Kuwait. Expandable across GCC/MENA on Azure — sovereign deployment supported.
Deployment model
Customer-tenant deployment. Artifacts delivered inside your own Azure environment. Applab manages delivery, configuration, and ongoing support.
Integration ready
ATO-aligned methodology that aligns with your existing governance and IT operating model. No rip-and-replace required.
See how it works in your environment.
Contact us to arrange a live demonstration and a scoping discussion tailored to your environment.