Reduce decision latency. Build a more adaptive organization.

The advantage is not intelligence. It is the operating model that turns judgment into timely action.

One Degree helps industrial leaders, and the technology and service providers that sell to them, reduce decision latency, redesign authority and operating models, and build organizations that can adapt faster without losing control.

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What decision architecture means

The path from a signal to a stabilized result.

Every stage on that path can add delay. A dashboard improves detection. A data platform improves access. Workflow software routes an approval. None of that guarantees the whole path gets faster.

→ → → → → →
What delay at the signal stage looks like in practice

A maintenance signal appears on Monday, but no one recognizes its consequence while intervention is still cheap. By the time the plant sees the pattern clearly, the decision is no longer preventive maintenance. It is a production-loss event already underway.

Cost to intervene rises with delay The cost of acting on a signal stays low for a period after it appears, then climbs steeply once the cheap intervention window closes. Caught early $0.8M per quarter Caught late $2.4M per quarter Cost to intervene Signal appears Time since signal appeared Cheap intervention window Window closes
Cost to intervene stays flat for a while, then climbs steeply once the cheap window closes. The two figures below are the same condition caught early and caught late.
Total leakage before redesign
$14.3M per quarter
Representative industrial company, approximately $1B revenue, carrying the full decision path with today’s delays.
Total leakage after improvement
$6.1M per quarter
Same company after compressing the path with clearer authority, earlier detection, and fewer coordination stalls.
Typical leakage before redesign
$2.4M per quarter
Loss accumulates because the signal is recognized after the cheap intervention window has closed.
Typical state after improvement
$0.8M per quarter
The same condition is caught early enough for maintenance, scheduling, and inventory to move while options are still cheap.
Illustrative only: representative industrial enterprise at roughly $1B annual revenue, using One Degree leakage heuristics across the full decision path. Run your own leakage estimate ↗
Diagnostics

Start where the leakage actually is.

We start with one decision your organization makes over and over — capital approvals, maintenance escalations, pricing exceptions. We map where that decision loses time waiting on handoffs and sign-offs, then put a dollar figure on what the waiting costs.

Engaged diagnostic sequence

Every recurring decision gets plotted by how complex it is and how clear the authority to act is. That sorts them: some are ready to hand to software, others are bleeding value while they wait on approval. Click any process to see its profile.

Client-only
Selected process

Enterprise Architecture & Data Governance

High automation opportunity, but inference quality still outruns authority design. This is where software can move faster than the organization is allowed to decide.

Fragmentation40%
Permission36%
Inference52%
Value leak38%
Process Quadrant Source
See the full diagnostic toolset Open diagnostics ↗
The homepage shows the shape of the instrument. The diagnostics tab goes deeper into the browser tools; the engaged sequence opens once an organization is working through a live decision.
See diagnostics Discuss a live decision
Education & mentoring

Two masterclasses, and the mentoring that follows.

Two three-hour masterclasses built on one decision architecture. The Decision Velocity Enterprise redesigns the decision system an industrial company operates inside. Designing for Decision Velocity redesigns what that company is being asked to adopt. Mentoring and board-level working sessions extend the same operating model into live executive decisions.

See both courses
Causal model explainer

A compact preview of what the course teaches: how to read a causal map, spot the loop that keeps a loss recurring, and test where one operating-model change actually moves the system.

Interactive preview
Signal quality
Weak maintenance signal
Decision geometry
Cross-functional approval climb
Consequence
$1.2M leakage event
The team can see the condition, but each escalation step enlarges the event before action is legitimate.
Delay compounds risk Authority is not pre-bounded Learning arrives after the loss
What the map shows
Three variables, one recurring failure

The course starts by making the causal structure visible enough to discuss. The point is not a prettier diagram. It is a decision system leaders can actually interrogate.

Why it matters
From explanation to intervention

Once the loop is legible, executives can test where to change authority, coordination, or evidence quality before spending into another round of delay.

The full sessions work through a real decision your team is facing right now, not a generic framework slide.
Advisory

Then redesign the decision while it is still in motion.

Diagnostics show where the cost sits. Education installs the model. Advisory is for the case already on the table now: a consequential decision in motion, where the organization cannot wait for a slower cycle to catch up. Board and COO level, scoped per engagement.

What advisory does
  • Turns one live decision into a redesigned authority path
  • Clarifies what should be automated, what should be authorized, and what must stay supervised
  • Uses the diagnostic evidence to move from recognition to intervention
  • Frames the next operating-model change in terms a COO can defend
What changes after the work
  • Fewer approval hops between evidence and legitimate action
  • Less value leakage while functions wait on one another
  • Clearer boundaries between software inference and executive authority
  • A repeatable pattern the enterprise can use again on the next decision
See advisory Bring a live case
Trust and proof

Operational proof, concrete outputs, and a public body of work.

Trust here is built the old-fashioned way: one real decision, the waiting made visible, the leakage priced, and a practical next step for authority, software, and operating-model design.

“What Georgia-Pacific is doing with Causal AI is remarkable” — a 10× improvement in touchless order processing, with errors that once took days now resolved in seconds. Forbes · Steve Banker, 2024 — read the piece ↗
What the work produces
  • One recurring decision, or one customer decision, mapped end to end
  • The major latency points and the cost of waiting made visible
  • A clearer boundary between recommendation, authority, and action
  • A practical next step: training, advisory, or offering redesign
What this is not
  • A maturity score with no intervention attached
  • A generic AI talk detached from one operating decision
  • A promise that more dashboards alone will fix the problem
  • A transaction completed by software without human scoping
Evidence discipline matters here. Public claims, asserted claims without citation, and explicit non-claims are separated in evidence.json. The organizations named above are not presented as One Degree clients unless stated as such; they are identified by operating role, research affiliation, category recognition, recognition, or speaking venue. The same diagnostic logic is exposed to agents at /api/assess and /mcp.
Explore the ideas

The One-Degree Dispatch.

Two hundred essays across six reading paths. Two books — The Decision Clock and The Decision Clock Dividend — that put decision latency on the P&L as a measurable variable rather than a metaphor. And The Distance Is the Danger, five historical cases where the gap between signal and legitimate action decided the outcome.

Start reading The Radiant ↗
Team

The people behind One Degree.

Michael Carroll

Michael Carroll

Founder · AI Researcher & Investor

AI researcher, founder, investor, and board advisor in Industrial AI, causal systems, and enterprise transformation. Fellow of The COO Council at LNS Research and former VP of Innovation at Georgia-Pacific, where he pioneered Causal AI and Special Purpose Intelligence in industrial operations — work IDC named a new market category. Innovator of the Year (ASPI, 2019) · Visionary of the Year (Smart Industry, 2020).

LinkedIn ↗
Ryan Cahalane

Ryan Cahalane

Managing Director, LNS Research · Founding Partner, Axiom

An industrial executive, advisor, and ecosystem connector with 25+ years across manufacturing, industrial technology, consulting, and systems integration. He helps organizations — from startups to private equity and institutional investors to Fortune 500 leaders — drive growth, scale operations, and lead digital transformation, working at the intersection of manufacturing, OT, and investment.

LinkedIn ↗
Steve Frazier

Steve Frazier

Operational excellence & advanced analytics · OnPoint, a Koch Engineered Solutions company

Twenty-five years across paper, packaging, wood, consumer products, and flexible films, working where operational excellence meets advanced analytics — Bayesian networks and process optimization. Three US patents in bag-in-box design, fitments, and process. He co-authored The Decision Clock and The Decision Clock Dividend with Michael Carroll, which put decision latency on the P&L as a measurable financial variable rather than a metaphor.

LinkedIn ↗
Sudeep Kesh

Sudeep Kesh

Chief Innovation Officer, S&P Global Ratings

Chief Innovation Officer at S&P Global Ratings, with more than two decades at the firm spanning credit markets research, analytical innovation, and enterprise strategy. He sits on the Innovation Council of The Conference Board's Innovate and Transform Institute and contributes to the World Economic Forum's work on the transformation of industries, focused on how AI and emerging technology reshape risk, markets, and institutional decision-making.

LinkedIn ↗
Patrick Gaughan

Patrick Gaughan

Partner, Axiom Manufacturing Systems

Partner at Axiom Manufacturing Systems, where he works with entrepreneurs and technology disruptors in Industry 4.0 to bring Fortune 100 operational capability to small and mid-size manufacturers. Thirty-plus years in industrial engineering and Lean manufacturing, including 26 years at PPG Industries and a run as CEO of Silverback Business Solutions, leading more than 50 Lean workshops across seven countries.

LinkedIn ↗
Partners
LNS Research ↗ CESMII ↗ Chief Architect Network ↗
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