Modernization Solutions Catalog
AI-Driven Delivery Models for Scalable, Confident Execution
Clear Data Solutions delivers modernization through AI-driven delivery models that replace people-dependent, bespoke approaches with structured, repeatable execution. Each solution can stand alone or operate as part of an integrated modernization program—scaling across data, infrastructure, and operations without increasing delivery risk.
AI-Driven Infrastructure Services
(Data Center, Network Engineering & Operations)
This delivery model modernizes enterprise infrastructure by shifting from manually coordinated infrastructure management to AI-driven provisioning, configuration, and operational alignment. Infrastructure requirements are derived from structured intent and metadata, allowing environments to be deployed, configured, and operated consistently across data centers, networks, and hybrid environments.
By embedding decision logic and standards into the delivery model, organizations reduce operational fragility, improve resilience, and eliminate dependency on individual expertise while maintaining full control and security.
AI-Driven Master Data Management Delivery Model
Master data is the foundation of all enterprise operations. CDS’s AI-driven master data delivery model ensures that critical business entities are defined, governed, and aligned before they are consumed by systems, analytics, or automation.
Rather than relying on manual stewardship and fragmented governance, this model establishes authoritative definitions and lifecycle controls that allow downstream processes to scale without data inconsistency or trust erosion.
AI-Driven Data Warehouse Delivery Model
This delivery model modernizes data warehousing by treating warehouse structures as governed, intent-driven assets rather than static schemas. AI-driven execution ensures data ingestion, transformation, and storage align with enterprise definitions and quality standards.
The result is a data warehouse that evolves safely over time—supporting analytics, reporting, and operational use cases without introducing schema drift or rework.
AI-Driven Data Warehouse Semantic Layer Delivery Model
The semantic layer is where data becomes meaningful to the business. CDS delivers semantic layers through an AI-driven model that aligns metrics, definitions, and hierarchies to authoritative enterprise intent.
This approach ensures consistent interpretation of data across reporting tools, departments, and use cases—eliminating metric discrepancies and enabling confident decision-making at scale.
AI-Driven Reporting Services Delivery Model
Reporting is delivered as a governed, repeatable capability rather than a collection of bespoke dashboards. CDS’s AI-driven reporting model ensures reports are generated from trusted semantic definitions and aligned data sources.
This reduces reconciliation effort, improves audit readiness, and allows organizations to expand reporting capabilities without multiplying maintenance effort.
AI-Driven Business System Requirements Delivery Model
Traditional requirements gathering is manual, ambiguous, and difficult to scale. CDS replaces this with an AI-driven delivery model that captures business intent in structured, consumable formats.
Requirements become governed, reusable assets that drive consistent system design, implementation, and validation—reducing rework while improving alignment between business and technical teams.
AI-Driven Technical Support Services Delivery Model
Technical support is delivered as a proactive, intelligence-driven capability rather than reactive troubleshooting. This model uses structured metadata and delivery context to identify issues, assess impact, and guide resolution efficiently.
By embedding support into the delivery model, organizations reduce escalation risk, improve service continuity, and maintain operational confidence as environments grow more complex.