Rivington Solutions

Insights

Rivington’s business perspective on how workflows, decisions, ownership, and AI interact inside growing companies. These essays explain how we approach operating problems and the practical choices behind workflow improvement.

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Three useful ways in

Essays set out an argument. Illustrative teardowns apply it to a hypothetical workflow. The sample deliverable shows the format of a diagnostic output. None of them are client case studies.

  1. 01Essay
    The economic argument

    The Uncertainty Tax: A Different Way to Think About AI at Work

    Where organizations spend time and effort becoming ready to make a decision, and how AI may change the economics.

    Read the essay
  2. 02Illustrative teardown
    A practical workflow example

    Redesigning Commercial Underwriting for AI

    A hypothetical underwriting workflow traced through its evidence, the decision it supports, who owns each step and how exceptions are handled.

    Read the teardown
  3. 03Essay
    Implementation in practice

    Why your AI workflow still needs so much supervision

    How preparation, review, coordination and completion checks turn into real operating effort, and what to redesign before adding more automation.

    Read the essay
Sample deliverableSee what a diagnostic output looks like, using a fictional customer-onboarding workflow.
Applied Judgment Lab — New

The Judgment Layer: Why AI Will Not Fix VC Sourcing

AI can process more companies. The harder question is whether it can help investors explain their own taste.

Point of View — Featured Essay

Why Competent Teams Stall

And why the fix is rarely what they think it is.

Full library

All essays

Illustrative workflow teardowns are collected separately at Teardowns.

AI implementation, Operational systems·5 min read

General Competence

A successful demonstration can hide how much judgment people are supplying. Before delegating more work to AI, establish what it can complete, when it needs help, and how you will know the job is done.

AI economics, AI implementation·10 min read

The AI Cost Problem Is Bigger Than Tokens

Why AI cost governance must connect the work creating demand, the model performing it, the infrastructure supplying it, and the business value produced.

Decision architecture, AI implementation·6 min read

The Uncertainty Tax: A Different Way to Think About AI at Work

AI may lower the cost of becoming sufficiently certain to act. The opportunity starts with understanding where evidence, ownership and decisions get stuck.

AI implementation, Operational systems·11 min read

What AI Needs Before It Can Reliably Work in Your Business

Once you know how a workflow should operate, AI still needs the right information, permissions, boundaries and approval paths. This is the role of the harness.

Organizational judgment·14 min read

The Judgment Bottleneck

Why organizations struggle to move in the same direction when the reasoning behind decisions is fragmented, opaque, or inconsistently owned.

AI implementation, Operational systems·5 min read

Why your AI workflow still needs so much supervision

AI can finish a draft in seconds while the work around it still takes hours. A practical guide to finding that effort, deciding what should change, and measuring whether your team has gained capacity.

AI implementation, Decision architecture·6 min read

The Context Layer

A thesis on why AI's real advantage is not output volume, but the ability to preserve context, interpret signals, and turn organizational learning into better decisions.

AI implementation, GTM systems·7 min read

Why AI Pipelines Fail at Scale

A technical essay on exception governance — how ungoverned overrides erode automation trust, and what a self-correcting revenue pipeline actually requires.

AI implementation, Operational systems·— min read

AI Impact You Can Defend

How to find measurable AI opportunities, build the evidence into the workflow, and report business value without inflating ROI.

Decision architecture, Prioritization·6 min read

Designing How Organizations Decide What to Work On

An examination of prioritization as a decision design problem — and how organizations substitute people, process, and urgency for explicit criteria.

Decision architecture, AI implementation·6 min read

Decision Debt Is the Next Corporate Crisis

A thesis essay on how unresolved decisions accumulate and why AI accelerates the cost of structural ambiguity.

Operational systems, Prioritization·8 min read

When Execution Slows Before Leaders Can See Why

An essay on how organizations mistake motion for progress when decision ownership is unclear.

Operational systems, Decision architecture·8 min read

The Measurement Trap

An essay on how organizations confuse measuring performance with managing it — and why the metrics that feel most actionable are often the ones that obscure the most.

Operating Blueprint, AI implementation, Operational systems·15 min read

A 90-Day Blueprint for an AI-Enabled Operating Function

A practical framework for turning leadership direction into structured decisions, visible commitments, stronger operating cadence and carefully selected AI-supported workflows.

"These essays are meant to be read selectively, not sequentially. Each one isolates a specific structural pattern and follows it to its operational consequences. If the thinking resonates, the methods will feel familiar. If the methods feel familiar, the engagement model will feel obvious."

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