Data governance is not just policy—it’s a coordinated system of people, processes, and controls that ensures your data is secure, accurate, accessible, and trustworthy from creation to disposal
NowVertical gives enterprises the foundation to make confident decisions, scale AI, and comply with evolving regulations.
Ring-fence sensitive data to ensure only trusted inputs power your AI.
Detect and eliminate redundant, obsolete, and trivial data across cloud, on-prem and hybrid systems
Enforce policies, generate audit trails, and monitor risk.
Deploy GenAI models and agents that securely interact with internal systems,
Migrate legacy DWHs to serverless analytics, enabling faster queries and AI-enriched insights.
Create real-time pipelines with automated governance, metadata tagging, and lifecycle policies across hybrid clouds.
Deploy conversational and agentic interfaces that integrate with enterprise data and business processes.
Modernise traditional data warehouses to support high-performance analytics and machine learning at scale.
Automate data integration and enforce fine-grained access controls, metadata tagging, and lifecycle management.
Build, customise, and deploy GenAI applications with integrated security and compliance frameworks.
Transition to fast, scalable analytics with integrated ML and SQL-based insights across large data volumes.
Seamlessly integrate, govern, and activate data — enabling agentic AI.
From discovery to activation, we assess and evolve your technology, people, and processes — helping enterprises unlock the full value of modern data platforms and AI.
Audit systems, apps, sources, and integration points to catalogue assets and identify opportunities.
Identify data owners, usage patterns, and skill gaps across departments.
Analyse current governance, access, and compliance workflows for scalability and AI-readiness.
Design reference architectures, implement metadata systems, master data models, and business glossaries.
Establish stewardship roles, data councils, and Centres of Excellence to define ownership and accountability.
Formalise access control, quality management, and governance processes.
Stand up target architecture; automate lift-and-shift using Cloudify.AI or custom migration paths.
Enable cross-functional adoption through operating model and new platform integration.
Reconfigure data ingestion, transformation, and orchestration workflows for modern cloud platforms.
Activate data through lakehouses, CDPs, real-time pipelines, and ML model deployment infrastructure.
Democratise access with governed self-service tools and role-based data products.
Embed lineage tracking, policy enforcement, and usage observability into every active workflow
Monitor system health, performance, and cost-efficiency with cloud-native observability tooling.
Drive adoption through insight-driven KPIs, analytics, and operational support.
Establish continuous improvement cycles, audit-ready reporting, and aligned business metrics.
Rapidly unlock the data and AI opportunities in your business
Targeted assessments that rapidly analyse your data estate, identify modernisation readiness, and highlight the fastest paths to value.
AI-agents that speed up the migration, integration, and documentation — allowing enterprises to modernise faster and with less effort.
Blueprints and reference architectures that provide best practice, scalability, and repeatability across the enterprise.
A curated set of high-impact AI use cases that consistently return value quickly once data modernisation is established.
Protect and manage sensitive data safeguarding customer information with comprehensive data risk mitigation and unified data management.
Providing personalized financial product recommendations, driving revenue and customer satisfaction.
Utilizing advanced analytics to segment customers and deliver predictive recommendations that enhance customer engagement and business outcomes.
Modernizing data infrastructure and unlocking new revenue streams through data monetization opportunities.
Integrating fragmented user, product, and engagement datasets to fuel analytics and AI.
Modernised platforms enabling deeper audience clustering and content personalisation.
Turning analytics into actionable insights that drive advertising and subscription growth.
Applying agents to monitor vast digital content libraries, ensuring copyright compliance, detecting harmful material, and protecting platform trust.
Integrating siloed clinical, trial, and patient datasets into a governed, accessible platform for research and care insights.
Modernising data estates to support real-world evidence, speeding regulatory submissions and clinical decision-making.
Enabling predictive and AI-driven models to tailor therapies and improve patient outcomes.
Deploying autonomous agents to continuously scan trial data for anomalies, compliance risks, and patient safety signals in real time.
Bringing together grid, asset, and consumption data to create a single source of truth.
Modern data platforms supporting forecasting for demand, pricing, and grid performance.
Unlocking ESG reporting and renewable transition insights with integrated, trusted datasets.
Using AI agents to detect irregular consumption or outage patterns, automatically flagging risks and ensuring regulatory compliance across networks.
Breaking down silos to create unified datasets for policy and service insights.
Modernised platforms supporting advanced analytics for programme evaluation and forecasting.
Creating AI-ready foundations to improve service delivery and citizen engagement through data-driven insights.
Harnessing AI agents to analyse citizen and transaction data, identifying fraud, waste, or non-compliance while ensuring accountability.
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