5,000+ Projects Delivered70+ Countries Served18+ Years of Excellence100+ Awards Winning Solutions6 Worldwide Offices550+ Enterprise AI Deployments95% Client Satisfaction5,000+ Projects Delivered70+ Countries Served18+ Years of Excellence100+ Awards Winning Solutions6 Worldwide Offices550+ Enterprise AI Deployments95% Client Satisfaction
AI App Modernization

Upgrade Your Apps with AI Faster, Smarter, and Future Proof

Mobiloitte modernizes outdated apps into AI powered, mobile first, cloud native platforms with next gen features like RAG search, voice AI, automation, predictive analytics, and multi agent workflows.

Why this matters

Legacy apps are slow, rigid, and lack AI first experiences.

Outdated codebases and monolithic backends slow teams down

Apps feel heavy, crash often, and drain batteries

UI and UX look dated compared to 2025 design systems

No AI features, automation, or analytics layers

No voice, chat, multi agent, or RAG experiences

Legacy architecture blocks scalability and compliance

Customers expect AI search, personalized feeds, and smart workflows

Decision makers need predictive suggestions and real time insights

Mobiloitte reimagines apps with AI features, modern UI and UX, microservices, automation, and cloud native resiliency.

Key capabilities

AI app modernization building blocks

Inject AI features, redesign UX, refactor backends and mobile apps, modernize cloud and data, and enforce security guardrails.

AI Feature Integration for Existing Apps

Layer intelligence onto your current experiences without a full rebuild.

  • Conversation and voice AI
  • Multi agent workflows and copilots
  • Predictive suggestions and recommendations
  • Intent based and semantic search
  • RAG powered knowledge widgets
  • Document extraction, OCR, and auto tagging
  • User behavior intelligence and personalization

UI and UX Modernization

Ship 2025 ready design systems across mobile and web.

  • New layouts and interaction flows
  • Micro animations and motion systems
  • Responsive components and design tokens
  • Native first patterns with accessibility built in

Backend Modernization

Refactor monoliths into modern, API driven, event based architectures.

  • FastAPI, Node.js, Go, Kotlin, or .NET modernization
  • Microservices and workflow engines
  • Secure API gateways and service meshes
  • Event driven backends with streaming data

Mobile App Modernization

Refresh iOS, Android, Flutter, and React Native apps for performance and AI.

  • Faster load times and lower battery drain
  • Offline first plus sync enhancements
  • Chat, voice, and agent UI components
  • AI first screens for search, insights, and automation

Cloud and DevOps Modernization

Move to containers, Kubernetes, serverless, and automated pipelines.

  • Multi cloud infrastructure blueprints
  • CI or CD, GitOps, and automated testing
  • Observability, tracing, and FinOps telemetry
  • Autoscaling plus cost optimized environments

Database Modernization

Upgrade persistence layers for speed, scale, and AI readiness.

  • SQL to NoSQL migrations with zero data loss
  • Redis caches and streaming queues
  • Vector database integration for RAG
  • Performance tuning and resiliency patterns

AI Security and Governance Integration

Baked in guardrails so AI features remain trustworthy and compliant.

  • Guardrails, hallucination filters, and policy checks
  • RBAC, SSO, and step up authentication
  • Audit logs and explainability trails
  • DPDP, GDPR, PDPL, HIPAA, SOC2 frameworks

RAG Search Integration

Embed hybrid RAG and semantic search into apps and portals.

  • Hybrid RAG orchestration
  • Semantic vector search and ranking
  • Domain retrieval agents with guardrails
  • Multi index management and relevancy tuning
AI + Blockchain synergy

Optional trust layer for regulated app portfolios

Add immutable audit logs, decentralized identity, and smart contract enforcement when compliance demands it.

Why leaders care

Healthcare, BFSI, GovTech, supply chain, and tracking apps often require verifiable events and automated policies.

Blockchain Backed Audit Logs

  • Immutable app events
  • Great for BFSI, GovTech, Healthcare

Secure ID and DID

  • Decentralized identity integration
  • Trusted access between orgs

On Chain App Events

  • Verifiable transactions
  • Smart contract triggered workflows

Smart Contract Enforcement

  • Policy automation
  • Usage based credits and settlements
Architecture overview

AI app modernization architecture

Legacy audit, refactoring, modern UI, refreshed backend, AI layer, and cloud DevOps all wired together.

1

Legacy App (Web / Mobile / Backend)

  • Existing application codebase
  • Legacy infrastructure
  • Outdated technology stack
2

AI Code Auditor & Refactoring Engine

  • Automated code analysis
  • AI-powered refactoring
  • Migration planning
3

Modern UI/UX & App Frontend

  • New design system
  • AI components (chat, voice, RAG widgets)
  • Responsive and native-first experience
4

Modern Backend

  • Microservices architecture
  • API gateway
  • Workflow engine
5

AI Intelligence Layer

  • LLM integration
  • Multi-agent workflows
  • RAG search engine
6

Cloud & DevOps

  • K8s orchestration
  • CI/CD pipelines
  • Logging and autoscaling
7

Deployment Options

  • Cloud
  • Hybrid
  • On-prem
8

Integration Points

  • APIs
  • Webhooks
  • Event streams
Integrations

Connect modern frameworks, backend stacks, data, and automation platforms

Frameworks

  • React
  • Next.js
  • Angular
  • Vue
  • Swift
  • Kotlin
  • Flutter
  • React Native

Backends

  • FastAPI
  • Node.js
  • Django
  • Go
  • GraphQL
  • REST

Cloud

  • AWS
  • Azure
  • GCP
  • DigitalOcean

Databases

  • MongoDB
  • Postgres
  • Redis
  • FAISS
  • Milvus
  • Pinecone

AI Models

  • GPT
  • Gemini
  • Claude
  • LLaMA
  • Mistral
  • Custom on prem models
Value propositions

What product, engineering, and business teams realize

01

4 to 10x performance improvement

02

40 to 60 percent reduction in crashes

03

Apps become AI first without rebuilding from scratch

04

Lower modernization cost versus rewriting everything

05

Modern UI and UX boosts customer retention

06

Cloud native stacks reduce infra cost and support FinOps

Engagement Models

Choose how you want to collaborate

Why Mobiloitte

Full-stack modernization experts with AI + Cloud mastery

Over eighteen years modernizing mobile and web products

Five hundred fifty plus AI deployments across industries

Dedicated cloud, DevOps, design, and AI squads

Deep experience migrating legacy stacks without downtime

Compliance ready delivery for DPDP, GDPR, HIPAA, SOC2

Multi region presence across India, UAE, USA, UK, Singapore, South Africa

Modernize your apps into AI first, cloud native digital experiences.

Mobiloitte upgrades your apps for 2025 and beyond.

AI App Modernization FAQs

Everything engineering, product, and CTO leaders ask before modernizing legacy applications.

Do we need to rebuild our app?

No, we modernize layer by layer with minimal disruption.

How long does modernization take?

Typically four to twelve weeks depending on complexity.

Does it improve performance?

Yes, expect significant gains in speed, stability, UX, and scalability.

Do you modernize both web and mobile apps?

Yes, we cover every mobile and web framework.

Can we host AI features on-prem?

Yes, we deliver private LLM deployments on prem or in your VPC.

Can AI be added to an existing app?

Yes, we add chat, voice, RAG, automation, agents, analytics, and more.

Can this support enterprise compliance?

Yes, DPDP India, GDPR, PDPL, HIPAA, SOC2, and other controls are supported.

What AI features can be added?

Search, recommendations, prediction, NLP, vision AI, RAG, agents, and workflow intelligence.

Can the backend be upgraded without downtime?

Yes, blue or green and canary deployment patterns keep downtime near zero.

Do you optimize for cost?

Yes, FinOps and AI FinOps practices are included in every engagement.