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.

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).

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:
01
A comprehensive technology and AI adoption strategy
02
Proven methodologies to identify high-impact Data & AI use cases
03

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

04
A tailored AI Accelerator Program for rapid MVP development
05
Expertise in AI Governance to ensure ethical, secure, and compliant AI practices
06
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

01
Strategize with clients to identify strategic opportunities and challenges
02
Assess current data, analytics, and AI capabilities
03
Map AS-IS processes and define transformation pathways
04
Build a portfolio of Data, Generative & Agentic AI initiatives
05
Establish a modern data foundation with cloud-native data lakes and automated data pipelines
06
Implement scalable AI/ML platforms integrated with MLOps and automation frameworks
07
Integrate AI into business processes to enhance productivity and efficiency
08
Enable workforce transformation through capability development and change management
09
Architect Data and AI platforms, including ML/DL solution design
10
Select and evaluate tools, technologies, and GenAI accelerators
11
Rapidly develop prototypes and PoCs to validate use cases and support decision-making
12
Define the TO-BE architecture, with measurable ROI, scalability, and performance gains
13
Deliver end-to-end implementations of analytics and AI projects
14
Conduct training, enablement, and onboarding for enterprise-wide adoption
Case Studies

Featured Success Stories

To build a scalable, secure, and analytics-ready Big Data platform to support advanced business intelligence, customer analytics, AML, segmentation, and other use cases—while optimizing existing infrastructure and unlocking the full value of enterprise data.
Big Data & Analytics Platform Implementation for Enhanced Business Performance in Banking

100% to 300% Improvement in Query Performance

Migration of 700+ TB Across 12,000+ Tables

USD 15+ Million ROI from Phase 1 Implementation

99.6% SLA Achieved with 24x7 Platform Support

To minimize scrap (initially at 21%) and enhance ADY% (production efficiency initially at 79%) using a consolidated BI & analytics platform with integrated ML models, real-time reporting, and on-demand data availability.
BI & Analytics Platform to Improve ADY% and Reduce Scrap in Telecom Manufacturing

200% Improvement in Model Execution Performance

Enhanced ADY% and Scrap Reduction

Integrated Reporting with Real-Time Dashboards

Always-On Platform Support

To build an ML-driven predictive pricing engine that could accurately forecast monthly supply, demand, and pricing for different food product categories, improve decision-making, and reduce time and cost spent on manual estimations.
ML-Based Price Prediction Engine for Optimizing Supply, Demand, and Pricing

Automated Optimal Price Estimation

Improved Forecasting Efficiency

CI/CD Enabled Retraining Pipeline

Cost and Time Savings Through Automation

To enhance regulatory adherence, document clarity, and operational efficiency by implementing an AI-based web platform for SOP evaluation and rewriting—addressing variability, complex language, and manual review bottlenecks in Biocon’s document processes.
AI-Powered SOP Rewriting Interface for Regulatory Compliance and Document Quality

Streamlined SOP Rewriting and Review Workflow

Improved SOP Quality and Readability

Audit-Ready Change Traceability

Foundation for AI-Enabled Regulatory Compliance at Scale

To automate and digitize the process of updating medicine preparation templates by replacing placeholder text with meaningful chemical and process information—eliminating manual effort, reducing human error, and speeding up processing across large volumes of documents.
Automated Placeholder Document Creation for Digitization of Pharma Templates

95% Reduction in Manual Effort

90–95% Accuracy in Placeholder Text Replacement

Drastic Time Reduction

Significant Cost Savings

See More Success Stories

Our integrated offering

Looking to explore how Generative AI, Agentic AI, and Responsible AI can impact your business?

Connect with our experts for a 30-minute consultation and experience a live demo to get started.

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