You know AI matters. You don't know where to start.
How do you harness the incredible power of AI without exposing your organization to its risks?
The answer lies in the "seams," or the hand-offs between different people and systems in your workflows. We've broken work down to its essential elements to reveal where AI brings value, where it brings risk, and how to structure its proper use to transform your organization. We'll help you get there before your competitors do.
The Problem
AI exposure is nearly universal. AI deployment is not.
80%
of American workers hold jobs with significant AI task exposure
17%
of businesses have deployed AI across product, operations, or services
This Deployment Gap exists, not because the technology doesn't work, but because poorly designed deployments have demonstrated the operational and reputational damage that organizations can suffer if they don't get the governance and verification systems right.
Our Solution
Work has a structure. We mapped it.
We studied 18,898 tasks across 848 occupations and 148 million workers and developed a taxonomy of the types of interactions between the people, processes, and systems in any organization. That taxonomy, or grammar of work, reveals which problems can be solved by AI inference, which require the logic of deterministic software-based systems, and which require human judgment and accountability.
What We Do
From diagnosis to deployment
Seampoint Map
A prioritized map of your own organization's AI opportunities, scored against governance constraints and quantified in dollars.
Discovery & Training
A diagnostic of where capacity is trapped in your organization and the training your team needs to reclaim it.
Seam Design & Oversight
Implementation-ready specifications for each AI implementation opportunity, with unconflicted oversight through deployment.
$3.24 trillion in annual AI opportunity quantified
The governance-safe floor, not the theoretical ceiling
Every task scored against four governance constraints
Consequence of error, verification cost, accountability, physical reality
148 million American workers mapped
Bureau of Labor Statistics data, not vendor projections
Industries
AI opportunity mapped by sector
Each profile applies our governance constraint methodology to a specific industry, using Bureau of Labor Statistics workforce data.
From the Blog
Latest thinking
Most AI Projects Fail
Most corporate AI projects fail not because the technology is broken, but because organizations deploy AI without redesigning how work gets done. This article introduces a four-actor framework (Humans, Machines, Software, AI) for decomposing business processes and matching each action to the right actor. It is essential reading for leaders seeking AI strategy consulting that delivers measurable results, not expensive pilots.
Read more
We quantified AI's potential impact on Utah's workforce. The numbers don't match anyone's predictions.
AI's real impact on 1.6 million workers across 679 occupations and 20 real employers—and why it's not what you've been told.
Read more
The Amplification Mindset Changes What AI Is For
Most teams use AI to delegate faster. The overlooked advantage is amplification — extending the reach of human judgment rather than replacing it.
Read moreWhere does AI belong in your processes?
Let us map the AI opportunities in your organization today.