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Agentic AI & Analytics

From data to decisions. From models to results.

We build, deploy, and manage AI solutions across the full lifecycle, custom ML models, GenAI applications, agentic workflows, and the analytics infrastructure that turns data into decisions people can act on. 

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revenue growth from ML-driven CLV models
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reduction in fraud detection task time
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revenue increase from automated analytics

How ADA Agentic AI Solves Real Business Problems

Agentic AI Application Development

Agents that work. Not chatbots that try.

Design and build autonomous AI agents that handle complex, multi-step business workflowspricing, inventory, document processing, customer interactionswithout a human in the loop at every step. 

Multi-step workflows
Built on your existing cloud and data stack

Custom ML Model Development

Models built for your problem, not adapted from someone else’s.

Machine learning models built and integrated for specific business problems across Retail, BFSI, CPG, Telco, and Healthcare. Not generic models adapted to context built from the ground up for the vertical and the use case. 

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revenue growth, ML-driven CLV models
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churn rate reduction, predictive models

Gen AI Application Development

Enterprise GenAI that works in production.

Design and build custom GenAI applications, RAG-based assistants that search and reason over internal content, document intelligence systems, and multimodal AI. Scoped and built for production environments, not POC. 

Production-grade
Enterprise-grade

Analytics Engineering

Dashboards that decision-makers actually use.

Designing automated reporting pipelines and self-serve analytics layers for CXO and operational dashboards built around the questions that matter to the business, not around what was easy to build. 

0 x
revenue increases, automated analytics consolidation
0 x
reduction in metric calculation effort

AI/ML Ops

Keep your models working after go-live.

Model monitoring, drift detection, automated retraining, feature store management, and performance reporting, the operational layer that most AI implementations skip and then regret. 

Always-on monitoring, drift detection, automated retraining
Feature store management and performance reporting

How it works

Define

Scope the use case, validate data readiness, and confirm what success looks like before committing to build.

Design

Model or agent architecture design, technology selection, and integration mapping, connected to your existing data foundation and business systems.

Build

Model development, agent construction, and application build, tested against real data and validated against the business problem being solved.

Deploy

Productionization, business system integration, performance validation, and cutover, the step most AI projects fail at, handled as a first-class deliverable.

Manage

Model monitoring, drift detection, automated retraining, and performance reporting, keeping AI investments working and accurate long after go-live.

Define

Scope the use case, validate data readiness, and confirm what success looks like before committing to build.

Design

Model or agent architecture design, technology selection, and integration mapping, connected to your existing data foundation and business systems.

Build

Model development, agent construction, and application build, tested against real data and validated against the business problem being solved.

Deploy

Productionization, business system integration, performance validation, and cutover, the step most AI projects fail at, handled as a first-class deliverable.

Manage

Model monitoring, drift detection, automated retraining, and performance reporting, keeping AI investments working and accurate long after go-live.

Built for your vertical. Designed for your business.

Vertical-specific model development and AI application expertise across the five verticals we know best.

Agentic AI & Analytics for Financial Services

AI that detects risk, predicts churn, and automates decisions. 

Custom fraud detection, credit scoring, and churn prediction models — with agentic automation for document intelligence, compliance workflows, and customer service. Built with explainability and regulatory auditability from the ground up. 

Key Use Cases: 

  • Fraud detection and credit scoring models
  • Churn prediction and intervention
  • Document intelligence and KYC automation
  • Risk analytics dashboards

80% reduction in financial fraud impact | 87.5% faster fraud detection 

Agentic AI & Analytics for Retail & CPG

Smarter forecasting, faster decisions, better margins. 

Demand forecasting, assortment optimization, and CLV models with analytics engineering for CXO dashboards and agentic automation for inventory and supply chain decisions. 

Key Use Cases: 

  • CLV and churn prediction models
  • Demand forecasting and inventory planning
  • Price and promotion optimisation
  • Commercial analytics dashboards

20% revenue growth ML-driven CLV campaigns | 8% churn reduction | 17% increase in customer retention 

Agentic AI & Analytics for Telecommunications

Predict churn. Automate decisions. See the whole picture. 

Churn prediction, propensity scoring, and network operations models — with analytics infrastructure for commercial and operations teams and agentic automation for customer service workflows. 

Key Use Cases: 

  • Churn prediction and retention automation
  • Propensity and ARPU optimisation models
  • Network operations analytics
  • Customer service workflow automation

Scale-ready high-volume subscriber data for AI | Real-time inference pipelines for next-best-action 

Telecommunications

Customer Data Foundation 

Network data. Subscriber data. Usage data. Finally unified. 

Telcos sit on massive data assets — subscriber profiles, network usage, billing records, service interactions, device data — but often can’t use it because it’s trapped in legacy BSS/OSS systems. We migrate and unify telco data into modern platforms, enabling subscriber intelligence, churn prevention, and campaign activation. From legacy system migration to real-time activation — we’ve done it across APAC telcos. 

Key Use Cases: 

  • BSS/OSS data migration to cloud platforms 
  • Subscriber profile unification across systems 
  • Network + usage + billing data integration 
  • CDP for churn prevention and upsell activation 
  • Real-time data pipelines for campaign triggers 

Scale-ready — high-volume telco data | Migration expertise — BSS/OSS to cloud 

Customer Stories

Global Hospitality Group: Enterprise Reporting Platform
How a Global Hospitality Group Unified Data Across 400+ Properties
Data Foundation

How a Global Hospitality Group Unified Data Across 400+ Properties

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Hotels
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data sources consolidated
How ADA Built 500+ Data Connectors for a Leading Data Integration Platform 
Data Foundation

How ADA Built 500+ Data Connectors for a Leading Data Integration Platform 

Where every touchpoint earns trust, every interaction creates value, and every decision is powered by realtime insight.
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connectors
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revenue growth
We helped a leading ecommerce retailer migrate their existing data warehouse from AWS to MS Azure while ensuring seamless business continuity​
Indonesia Data Foundation

We helped a leading ecommerce retailer migrate their existing data warehouse from AWS to MS Azure while ensuring seamless business continuity​

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migration accuracy
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stored procedures migrated

See How ADA Can Can Build Your Data Foundation