solution: Enterprise AI Readiness & Data Modernization Framework
Get your data house in order so AI can actually do work.
Many organizations want to apply AI but lack the data foundation to do so effectively. This solution helps prepare data, platforms, and operating models for scalable analytics and AI adoption.
Frame delivers the framework through advisory and strategy, data migration and modernization, and data engineering services that establish a secure, cloud-native foundation for analytics, generative AI, and automation.
Many organizations aspire to adopt AI at scale but lack the foundational data architecture, governance, and operating model required for successful implementation. Legacy systems, inconsistent data quality, and siloed analytics teams make it difficult to operationalize AI and unlock enterprise-wide business value.
Legacy data platforms that cannot support modern analytics, ML, or real-time workloads.
Siloed datasets and inconsistent data structures across business units.
Lack of governance, lineage, and security controls needed for AI adoption.
Skills gaps across engineering, analytics, and business teams.
Undefined AI operating model, leading to fragmented or low-impact AI initiatives.
Frame delivers a comprehensive AI readiness and data modernization framework that equips organizations with the architecture, governance model, and operational playbooks required to scale AI. Leveraging Databricks and modern cloud-native patterns, Frame builds an enterprise data foundation that accelerates analytics, automation, and AI adoption.
Modern data lakehouse architecture using Databricks to unify structured, unstructured, and time-series data.
Master Data Management design and delivery with embedded data quality and tagging
Enterprise data governance, cataloging, security, and lineage to support AI at scale
Standardized data products and pipelines enabling consistent analytics across the organization.
AI operating model design, including roles, workflows, MLOps processes, and governance
Capability uplift programs for engineering, analytics, and business stakeholders
Organizations achieve a scalable, secure, and AI-ready data environment that accelerates innovation and improves operational performance. With a modernized data foundation and enterprise-wide alignment, companies can deploy high‑impact AI use cases faster and with greater confidence.
Accelerated delivery of AI and analytics use cases with a unified data foundation.
Improved data quality, governance, and security across all business units.
Greater alignment between IT, analytics, and business teams.
Lower operational risk through standardized processes and modern architecture.
A long-term roadmap enabling continuous modernization and AI-driven transformation.
Our Approach – Minimize risks and maximize return.
Frame delivers with confidence through proven, repeatable methods that reduce cost overruns, project delays, and operational uncertainty. Our AI-enhanced delivery model helps to ensure consistent execution across cloud-native, analytics-driven architectures—while hyper-local teams and nearshore scale drive efficiency without compromising quality. Frame’s prebuilt accelerators, reusable IP, and tight feedback loops fast-track speed-to-value while maintaining full transparency and shared accountability every step of the way.
Discover & Design
Start with business goals, identify the right opportunities, define the value and chart a clear plan.
Build & Modernize
Extend and modernize your data and architecture with scalable platforms and secure pipelines while complimenting your existing systems.
Scale & Evolve
Scale high-impact AI use cases, establish sustainable governance, and evolve with frameworks that support agility, adoption, and long-term value.
Value Delivery
We don’t just modernize—we deliver outcomes you can measure: faster cycles, smarter operations, and durable solutions that evolve with change.
