Advisory & Consulting Services

Data & AI – Advisory & Consulting Services

At Aptus Data Labs, our team of experts principally consisting of Data Engineers, Data Scientists, ML Engineers, AI Engineers, AI Architects and Infrastructure Specialists, collaborate with organizations to solve complex business problems.

We help our clients fast-track their Data & AI transformation and unlock tangible business value, quickly.

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Key Barriers to AI Adoption

Based on our industry experience and insights from Industry Veterans, enterprises often face these three core challenges:

Absence of a clear Data & AI strategy
Lack of skilled resources to implement and scale up
Limited awareness of capabilities, particularly in emerging areas like Generative AI and Agentic AI

services

Value Management

We define Data Governance not as a checkbox activity, but as the foundation of Value Management in the age of Generative and Agentic AI. Our frameworks are AI-first, policy-driven, and business-aligned.

Key Governance Areas:

Data Cataloging

Automatically catalog assets across your data landscape for faster discovery and reuse.

Metadata Management

Track and enrich technical, business, and operational metadata to drive transparency.

Master Data Management (MDM)

Create golden records to drive consistent and accurate AI outcomes across systems.

Data Lineage & Traceability

Visualize and audit the way data flows and transforms through pipelines and AI models.

Data Ownership & Stewardship

Clearly defined responsibility and accountability across the data lifecycle.

Data Privacy & Compliance

Enforce security, encryption, masking, and anonymization policies aligned with GDPR, HIPAA, and local regulations.

AI-Driven Data Administration

Use automation and AI agents to manage quality, alerts, policy violations, and platform scalability.

Our Strategic Approach

Aptus Data Labs culture is data-driven (data & management), asset-centric (trademarked/ IP approach prioritized) and based on robust design – we’re agile too (deliver results in short cycles).
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We fervently believe in our people, the skills that we have acquired, our culture, our AI maturity and the competency based services that drive increased efficiency and business value for an organization.

Our consultants are here to bridge these gaps by delivering:

A comprehensive technology and AI adoption strategy

Proven methodologies to identify high-impact Data & AI use cases

Deployment of top-tier talent for design, implementation, and scaling

A tailored AI Accelerator Program for rapid MVP development

Expertise in AI Governance to ensure ethical, secure, and compliant AI practices

Delivery excellence embedded in our culture—we deliver, no matter the challenge

Focus on Next-Gen AI: Generative, Agentic, and Responsible AI

We go beyond traditional AI capabilities to enable next-gen AI transformation:

Generative AI

Design and deploy foundation model-based solutions for content generation, code synthesis, synthetic data, and document intelligence.

Agentic AI

Architect intelligent agents that act autonomously to optimize workflows, automate decision-making, and drive real-time insights.

AI Governance

Establish frameworks to manage AI lifecycle risks, model transparency, data privacy, compliance, and responsible AI operations.

Our Core Activities in Data & AI Transformation

Strategize with clients to identify strategic opportunities and challenges

Assess current data, analytics, and AI capabilities

Map AS-IS processes and define transformation pathways

Build a portfolio of Data, Generative & Agentic AI initiatives

Establish a modern data foundation with cloud-native data lakes and automated data pipelines

Implement scalable AI/ML platforms integrated with MLOps and automation frameworks

Integrate AI into business processes to enhance productivity and efficiency

Enable workforce transformation through capability development and change management

Architect Data and AI platforms, including ML/DL solution design

Select and evaluate tools, technologies, and GenAI accelerators

Rapidly develop prototypes and PoCs to validate use cases and support decision-making

Define the TO-BE architecture, with measurable ROI, scalability, and performance gains

Deliver end-to-end implementations of analytics and AI projects

Conduct training, enablement, and onboarding for enterprise-wide adoption

Case Studies

Featured Success Stories

Data Engineering

A Banking Big Data & Analytics Platform with 24x7 Support

100–300% improvement in query performance

USD 15M+ ROI in Phase 1 of implementation

10+ AI/ML use cases delivered across key functions

99.6% SLA achieved with 24x7 infrastructure support

Cloud Computing

Enterprise Data Lake and Analytics implementation for a large Pharmaceutical Company in India on AWS platform

30–40% Reduction in IT Costs

Accelerated Analytics with 3X Faster Reporting

AI/ML-Ready Infrastructure

Manual Work Reduction

Analytics Modernization & Migration

Data, Process , Batch jobs and Work flow migration to Hadoop Platform

40% Reduction in IT Infrastructure Costs

60% Improvement in Data Processing Speeds

4X Scalability Boost

70% Reduction in Downtime

Analytics & Artificial Intelligence

Supply Chain Scheduling & Route Optimization for an Oil & Gas company

Accurately forecasted voyage schedules

Minimized total logistics cost

Fully automated scheduling system

Improved cost visibility and planning accuracy

Analytics & Artificial Intelligence

Enabled a leading mortgage financing company to predict credit risk accurately and automate their process

85–90% model accuracy

Complete automation of the credit risk process

Improved risk visibility and strategy formulation

Consistent model performance

See More Success Stories

Data & AI – Advisory & Consulting Services

Key Barriers to AI Adoption