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AI Is Arriving
on Two Tracks.
Both Are Legitimate.

Every enterprise is adopting AI two ways at once: a decentralized productivity track that pays in profit margin, and a centralized transformation track that pays in top-line growth. Run on purpose, the first pays for the second.

Enterprise clients across 13 industries
Two methodologies, published in full
Model-agnostic and platform-independent
A grid of teams lighting up everywhere, with one bold path cutting through it in three stops.1Point solutions2Workflow redesign3TransformationTrack one · Decentralized · ProductivityTools on every desk. Productivity that shows up as profit margin.Track two · Centralized · TransformationOne path in three stops. Transformation that shows up as top-line growth.

Two tracks, running at once.

Look closely at almost any enterprise and two different things are happening at the same time. They are usually described as one thing, which is why the picture feels confusing from inside. Naming them separately is the first step toward seeing the last three years clearly, and the next three.

Decentralized track

Productivity

Tools arrive wherever work gets done
Generative AI assistantsDraft, summarize, analyze and answer
Agentic desktop toolsCarry multistep tasks through to completion
AI coding toolsLet employees build their own custom solutions
Workflows unchanged. People more AI fluent.
Pays inProductivity, which shows up as profit margin
Centralized track

Transformation

When the enterprise is ready to change its business
1
Point AI solutionsAn agentic ecosystem arrives, with humans providing oversight
2
Workflow redesignStarting in operations, learning how best to do this for the enterprise
3
AI business transformationNew products and services for existing and new customers, across industries
Workflows redesigned. Enterprise learns how.
Pays inTop-line growth, which compounds at the far end

Nearly everyone is on the first track and early on the second.

Most organizations are on the first track and buying point solutions on the second, with the redesign work still ahead. There is no cohort far ahead that anyone neglected to join. What separates organizations now is not how far along they are, but whether they are moving through the sequence on purpose.

78%
of the U.S. labor force works at a firm that has adopted AI, and about half at a firm using large language models.
Federal Reserve · FEDS Notes, April 2026
26%
more tasks completed by software developers using an AI coding assistant, across field experiments at three companies.
Stanford HAI · AI Index 2026
48 vs 30%
employee engagement where managers actively support their teams’ use of AI, against where they do not.
Gallup · July 2026
The spine of the map

The first track pays for the second.

Run on purpose, the productivity track frees 10 to 20 percent of capacity in every department, inside the same workflows. That gain can be banked as cost, or kept as people. Kept as people, it staffs the transformation.

The dividend is paid in people, not dollars. Nobody is cut to fund it.

The decentralized track, run on purposeAI fluent departments working the same workflows, delivering 10 to 20 percent more quantity and quality
Banked as cost savingsThe same work, done with fewer people
or
Treated as capacityKeep the people and free 10 to 20 percent of their time
Staffs the business transformationDepartments choose their best and brightest, the people who leaned into AI fluency and innovated, to redesign the workflows

The 10 to 20 percent an executive feared having to hire is the 10 to 20 percent already freed.

Seven Practices.
One AI-Native Firm.

The whole picture,
in one piece.

All Insights
Perspective · 24 min read

Two Current Tracks of AI Adoption & How One of Them Pays for Business Transformation

Where AI is arriving on two tracks, where organizations actually are on each, two questions that make any AI headline easier to live with, what it looks like to run the productivity track on purpose, the three stages of the transformation track, and the mechanism by which the first pays for the second.

By Shawn Plaster, Founder & CEO, Plaster Group

We don’t just advise on AI.
We build with it.

We build, not just advise

Most firms hand over a strategy and leave the execution to someone else. We deliver the whole transformation, from the C-suite strategic anchoring through hands-on deployment, with AI in the delivery itself.

Enterprise-grade at every level

Governance and enterprise rigor are built in from the start and run through every level that follows, the operating system of the transformation rather than a compliance overlay added at the end.

Model-agnostic. Platform-independent.

We recommend the right tools for your environment, chosen against the workflows they have to serve. Our value to our clients is in outcomes, not product commissions.

Wherever you are on the map,
the ground is firmer than it feels.

Whether your departments are getting fluent, your first agent is in the workstream, or your leadership team is sizing the top-line play, the next step is smaller than it looks. We can help you take it.