Energy and Manufacturing companies are under pressure to do more with less—reduce downtime, manage volatile markets, decarbonize, and modernize aging operations and systems.
Leaders know Data & AI are critical, but the path is often noisy: too many tools, competing priorities, and limited capacity to execute.
Frame’s Advisory & Strategy services help executives cut through the noise and build a practical, actionable strategy for Data, Analytics, and AI—anchored in the realities of plants, fleets, networks, and field operations.
We bring together industry expertise, cross-cloud architecture, and delivery discipline to design strategies that work across Azure, AWS, GCP, and Databricks and can be executed in phases, not multi-year “big bets” that never land.
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We start with your business model, asset base, and operational constraints—not with technology buzzwords.
Frame works with executive and operational leaders to:
Outcome: A pragmatic strategy that the board, C-suite, and operations can all stand behind.
We help you focus on the right problems, not just the most interesting technology.
Our advisors:
Outcome: A curated, value-ranked portfolio that directs where to invest first—and what to pause.
Data & AI only scale when the operating model supports them.
Frame designs:
Outcome: Clarity on who does what, how work flows, and how to avoid “initiative fatigue.” resilient.
In Energy & Manufacturing, governance is not optional—it’s critical.
We help you:
Outcome: Guardrails that enable innovation while protecting people, assets, and reputation.
Most clients already have investments across multiple clouds and platforms.
Frame:
Outcome: A platform and partner strategy that creates flexibility instead of fragmentation.
Without adoption, even the best strategy fails.
We support:
Outcome: A workforce that understands the “why” and has the tools and confidence to use Data & AI in their daily decisions
Frame connects Data & AI strategy directly to measurable operational levers that matter in Energy and Manufacturing. Advisory efforts are grounded in outcomes such as reduced downtime and maintenance cost, higher throughput and yield, lower energy usage and emissions, improved safety and compliance posture, and stronger planning, forecasting, and capital efficiency.
Clients leave with more than a vision—they gain a shared, executable Data & AI direction supported by leadership and operations, a prioritized portfolio of initiatives with quantified value, and a scalable operating model, governance, and platform strategy. The result is a realistic, phased roadmap that balances ambition with execution capacity and moves organizations from abstract “digital” goals to precise, achievable action.
We start from production realities—OT/IT integration, safety, uptime, regulatory constraints—not from generic “digital transformation” playbooks.
Our advisory work is grounded in how solutions are actually delivered. We design strategies that our engineering teams—and yours—can implement.
We understand the strengths and trade-offs of Azure, AWS, GCP, and Databricks, and help you design a path that leverages what you already own.
Every strategy artifact we produce—roadmaps, operating models, value cases—is structured so it can plug directly into funding cycles, portfolio management, and delivery.
Designed for Energy, Manufacturing, and asset-intensive industries where operational complexity, safety, and capital efficiency define success.
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Advisory and strategy services that align data, analytics, and AI investments to the decisions, workflows, and outcomes that drive enterprise performance.
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