Financial Services
Support customer service journeys, operational coordination, and digital access with a disciplined and trust-led implementation approach.
Explore Financial Services
Mobiloitte UAE helps enterprises, government-linked organisations and transformation-led businesses design and build new digital products where AI is part of the architecture from day one.
We engineer AI-native enterprise applications, SaaS platforms, agentic systems, RAG-based knowledge solutions and intelligent digital experiences that connect securely with your existing CRM, ERP, data and operational systems.
From discovery and architecture through bilingual experience design, development, integration, deployment, governance and post-launch optimisation, we provide UAE-first engagement backed by wider Mobiloitte engineering capabilities.
AI-native software engineering is the design and development of software where artificial intelligence is built into the product architecture from the beginning rather than added later as an isolated feature.
An AI-native system may combine AI agents, RAG, language models, enterprise data, workflow orchestration, APIs, predictive intelligence and human approvals within one production environment.
Mobiloitte UAE uses this approach to develop enterprise applications, digital platforms, customer experiences and internal systems designed around real business workflows and regional operating requirements.
| Dimension | AI-Enabled Software | AI-Native Software |
|---|---|---|
| Architecture | AI added to an existing feature | AI considered during product architecture |
| Integration | Isolated model or chatbot | AI integrated with workflows and systems |
| Context | Limited enterprise context | RAG and governed business knowledge |
| Actions | AI answers questions | Agents can assist with defined actions |
| Systems | AI sits outside business systems | AI connects with CRM, ERP and APIs |
| Governance | Governance introduced later | Permissions and controls designed early |
| Language | English-only experience common | Arabic/English experience can be designed from the start |
| Hosting | Generic hosting architecture | Residency and deployment requirements considered during architecture |
Note: Not every application needs to be AI-native. If AI is only a small supporting capability, conventional software with carefully integrated AI may be the better architecture.
From SaaS platforms and agentic systems to enterprise RAG platforms and web or mobile applications—we design and develop new software where AI is a core part of the architecture.
New operational systems combining application workflows, enterprise data, AI and integrations within one controlled platform.
Subscription platforms where copilots, intelligent search, recommendations, workflow automation or agents are central to the product experience.
Controlled agents capable of retrieving information, using approved tools, working across systems and escalating to people when judgement is required.
Knowledge systems connecting approved organisational content with source-grounded AI experiences.
Customer, employee and partner applications combining conventional workflows with conversational, predictive and generative AI.
Systems that consolidate operational information, surface insights and support defined business actions.
Digital experiences designed for bilingual users, including RTL interface requirements and Arabic-language AI evaluation.
Our engineering combines agentic systems, enterprise RAG, full-stack product engineering and AI operations to ensure reliable and scalable delivery.
We begin with the business process rather than choosing a model first. Discovery defines the business outcome, target users, required workflows, available data, Arabic/English requirements, hosting constraints and an achievable first release.
Agents may retrieve approved information, call authorised APIs, prepare actions, update selected business systems, coordinate tasks and hand off exceptions to employees within clearly defined boundaries.
Document ingestion, semantic and hybrid retrieval, metadata filtering, vector search, reranking, permission-aware retrieval, citations, freshness controls and evaluation.
Build the complete experience across web, mobile, backend services, databases, APIs, integrations, administration, security and cloud infrastructure rather than delivering only an AI proof of concept.
Operate AI after launch through evaluation, model and prompt configuration management, RAG monitoring, agent tracing, latency monitoring, usage visibility, incident handling and controlled releases.
Connecting authorised enterprise systems using APIs and governed integration patterns.
UAE-hosted, private-cloud, on-premise or VPC depending on project requirements.
RTL interfaces, Arabic AI evaluation and multilingual user journeys.
Application maintenance, model monitoring, security updates and ongoing optimisation.
English and Arabic web, mobile, portal, conversational and voice experiences.
Business rules, transactions, authentication, roles and conventional application workflows.
Agent reasoning, task routing, tool access, workflow execution and human approvals.
Documents, operational databases, enterprise data, vector retrieval and real-time context.
Commercial, open-source, specialised or privately deployed models selected around the workload.
CRM, ERP, SAP, HRMS, payments, communications, identity and internal APIs.
Approved cloud, private environment, VPC, UAE-hosted or hybrid deployment depending on project requirements.
Access controls, evaluation, logging, retention, human oversight, security and operational accountability.
The UAE's federal Personal Data Protection Law establishes requirements around personal-data handling and cross-border transfer. Data architecture and processing location should be assessed according to the actual organisation, sector, workload and applicable rules—not assumed from a generic template.
Architect workloads around approved hosting locations and processing requirements.
Limit information collected and transmitted to what the workflow requires.
Restrict user, system and AI-agent access according to approved roles.
Require authorised review where AI-supported actions have material financial, regulatory, safety or customer consequences.
Capture appropriate model, retrieval, tool and workflow activity for operational review.
Test quality, reliability, Arabic/English performance, latency and failure behaviour before scaling.
Recommended wording:
"Designed to support applicable UAE data-protection, organisational, sector and contractual requirements."
We start by understanding the business goal and environment requirements, then design the architecture, develop, test, release and continuously improve.
Discuss your projectClarify the business outcome, stakeholders, journeys and operating constraints.
Assess information availability, model options, Arabic requirements and expected quality.
Define AI, software, cloud, security, residency, integration and human-review architecture.
Validate the technically or commercially risky assumptions first.
Develop conventional application components and AI capabilities as one product.
Connect authorised enterprise systems and operational data.
Test AI quality, security, usability, Arabic/English journeys and business workflows.
Release according to agreed user groups, functions or markets.
Monitor production signals and continuously improve the application.
Discovery, stakeholder communication and rollout planning designed around regional operating realities.
Build the complete platform rather than an isolated AI demonstration.
Plan bilingual journeys from UX and content through AI evaluation and support.
Design deployment options according to workload and client requirements.
Connect AI platforms with CRM, ERP, SAP, portals and existing enterprise systems.
Draw on the wider Mobiloitte engineering ecosystem as regional programmes scale.
AI-native software engineering means designing software with artificial intelligence as part of the core architecture from the beginning. It may combine AI agents, RAG, models, enterprise data, APIs, workflows and human oversight within one production system.
Mobiloitte UAE can develop AI-native SaaS platforms, enterprise applications, agentic workflow systems, RAG-based knowledge platforms, web and mobile products, AI copilots and intelligent operational applications.
Yes. Bilingual solutions can be designed for Arabic and English journeys, including RTL interfaces, multilingual content, retrieval and AI evaluation where required.
Yes. Solutions can connect with authorised SAP, CRM, ERP, HR, customer-service, payment, data and internal systems using APIs, middleware, events and governed integration patterns.
No. RAG is useful when software needs access to organisational or external knowledge. Other applications may rely on predictive models, computer vision, speech, agents or conventional machine learning.
Depending on the models, cloud services and project architecture, workloads can be designed for UAE-hosted, private-cloud, on-premise, VPC or hybrid environments where required.
We assess data categories, processing flows, access, hosting, third-party services and operational responsibilities and design technical controls intended to support the client's applicable requirements. Legal compliance remains dependent on the complete organisational and operating context.
Yes. Multi-agent architectures can coordinate specialised agents across approved tasks, tools and systems, with access restrictions, monitoring and human escalation defined according to the use case.
Evaluation can cover output quality, retrieval relevance, tool behaviour, agent task completion, latency, failure handling, Arabic and English performance and human-escalation requirements.
Timeline depends on product scope, integrations, data readiness, bilingual requirements, model complexity, governance and deployment environment. A focused prototype can be completed sooner than a production enterprise platform.
Yes. Support can include application maintenance, infrastructure operations, model and RAG evaluation, agent monitoring, security updates, cost monitoring and ongoing optimisation.
Share your product goals, users and technical environment. Mobiloitte UAE will help you define a practical architecture, integration plan and phased engineering roadmap.
Designed to support applicable UAE data-protection, organisational, sector and contractual requirements.
Support customer service journeys, operational coordination, and digital access with a disciplined and trust-led implementation approach.
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