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AI Transformation Designed for Collaboration

AI strategy that changes how work gets done.

AI is moving fast—but most organizations are still treating it like an individual productivity upgrade. Voltage Control helps leaders build ROI-driven AI strategy that strengthens coordination, collaboration, and throughput across the product lifecycle and beyond. We combine facilitation mastery with practical AI-first methods to align stakeholders, identify impact-driving opportunities, and translate strategy into new ways of working teams can actually adopt.

Align leaders on where AI creates advantage—and where it doesn’t

Identify a portfolio of ROI-anchored use cases tied to measurable outcomes

Redesign workflows so AI lives inside collaboration, not outside it

Stand up the governance, enablement, and change plan for adoption

Trusted by teams rethinking how they collaborate, build products, and lead change.

The shift

Most AI strategies fail quietly—because they don’t change how teams work.

AI initiatives often start with pilots, tools, and excitement…and then stall. Not because the tech doesn’t work, but because the system doesn’t change: unclear ownership, fragmented adoption, uneven capability, and “heroic” coordination that can’t scale. We help you move from scattered experimentation to a coherent AI strategy that reshapes workflows, decision-making, and cross-functional collaboration—so progress compounds.

Pilots don’t become platforms

Knowledge stays siloed and context doesn’t travel

Teams adopt tools, but workflows stay the same

Value is hard to prove because outcomes aren’t defined

Governance becomes a blocker instead of an enabler

What we do

AI Strategy that’s built for execution—across teams, not just roles.

We design AI strategy as a ways-of-working transformation. That means you leave with clear priorities, a shared operating model, and practical workflows your teams can run—supported by governance, enablement, and a plan to scale.

Strategic AI North Star:

what you’re optimizing for and why

AI-First Workflow Redesign:

updated loops for discovery, decision-making, delivery, and learning

Operating Model + Guardrails:

decision rights, governance, risk posture, and evaluation criteria

Adoption & Enablement Plan:

training, champions, rituals, and measurement

90-Day Execution Plan:

what ships now, what pilots next, what to deprecate, and what to scale

Built on proven approaches

Three integrated offers—one coherent strategy.

Your AI strategy shouldn’t be a single workshop or a pile of artifacts. Our work combines three complementary capabilities we’ve already been building with corporate customers:

AI at the Center

Stop treating AI as a side tool for notes and drafts. We help you put AI inside the places where teams actually coordinate: shared context, alignment, decisions, and cross-functional flow. The result is faster learning, fewer handoff failures, and clearer accountability.

AI-First Product

AI changes the shape of work—especially in product, design, and engineering. We help teams redesign the product development lifecycle so AI accelerates discovery, sensemaking, prototyping, and delivery without losing quality or clarity.

AI Executive Studio

A facilitated, executive-level studio designed to align leaders, set strategic direction, and activate a realistic plan to execute. This is where strategy becomes shared language, crisp choices, and an operating model teams can adopt and sustain.

Where this works best

For leaders who need AI to improve the system—not just individual output.

This is for organizations where AI has momentum but outcomes are uneven—or where leaders feel urgency but don’t want to chase every new tool. It’s especially effective when success depends on coordination across roles, teams, and time zones.

Executives and functional leaders shaping AI direction

Chiefs of Staff and transformation leaders driving change

Product, design, engineering, and ops leadership modernizing delivery

Innovation and L&D leaders building durable capability

How we deliver

Facilitation-led strategy: faster alignment, clearer decisions, better adoption.

AI transformation is a coordination challenge. Our advantage is facilitation: we help you surface assumptions, include the right stakeholders, navigate tension, and make decisions that stick—then translate those decisions into workflows teams can actually run.

Engagement options

Built for adoption—not just insight

AI strategy shouldn’t be a single workshop or a pile of artifacts. We help leaders embed AI into the places where work actually happens—shared context, alignment, decisions, and cross-functional flow—so strategy translates into durable ways of working.

Most teams start with the AI Executive Studio to align leadership and set direction. From there, we support portfolio execution, workflow redesign, and enablement—tailored to your org’s maturity and constraints.

Fast Alignment

AI Executive Studio

A facilitated executive studio that creates shared language, crisp tradeoffs, and a plan that survives real-world constraints.

Activation

AI Strategy + Workflow Redesign

Redesign the product development lifecycle so AI accelerates discovery, sensemaking, prototyping, and delivery—without losing quality or clarity.

Scale

AI Transformation Partnership

An ongoing partnership to help leaders adapt strategy, governance, and ways of working as AI use—and its impact—compound over time.

Why Voltage Control

Because AI transformation is a people-and-systems problem.

Many firms optimize for models, tools, or automation. We optimize for how groups think and decide together—and we bring AI into that collaborative core. If your goal is sustainable change, not temporary excitement, you need a strategy that can survive reality: incentives, politics, ambiguity, and time.

Ready to build your AI strategy?

Let’s design the strategy your teams can actually run.

If you’re ready to move from scattered pilots to a coherent AI strategy—grounded in ways of working, measurable outcomes, and durable adoption—we’d love to talk. Our conversations focus on AI strategy, ways of working, and adoption—not tool selection or prompt tuning.