Journal

Everything here answers one question: how you prove what a decision actually was, months after it was made. Start with the white paper for the argument, the experiments for the evidence, or the short reads if you have ten minutes and a regulator’s letter on your desk.

16 pieces

Featured · White paper · 6 May 2026 · 1 min read

The Decision Proof Gap

A white paper on the structural gap between AI governance frameworks and the moment a consequential decision is made — and what it would take to close it.

Read the white paper

Two engineers standing either side of an unbridged gap in a raised walkway

01 · adoption vs supervision

81% vs 24%

Firms running AI in production, against regulators collecting structured AI data.

CCAF Global AI Report 2026, §Evidence — Adoption vs Supervision, Fig. 2

02 · liability disagreement

38% vs 18%

Regulators who say the firm bears AI harm, against industry that agrees.

CCAF Global AI Report 2026, §Evidence — the liability disagreement

Every figure on these pages is re-derivable from the published corpus.

Featured · Article · 2 Apr 2026 · 3 min read

What does a decision look like when you can prove it?

A core banking platform reconstructs decisions after the fact; a provable decision is captured at execution instead, as a single signed artefact.

Read the article

A person at the centre holding up a single sealed brass record to the light

From the essay

“The analyst spends two weeks producing an answer that is plausible, defensible, and partly invented.”

What a Decision Looks Like, §A simple example

The takeaway

Six months later, the analyst does not rebuild the decision. She reads it.

The whole difference between reading a decision and rebuilding one.

Read the essay

Every figure on these pages is re-derivable from the published corpus.

Swipe to change slide.

Articles

View all 10

Short reads, newest first — each card says what it is and how long it takes.

Start here

A route through the research: the argument first, then the three experiments that test it, in the order they were run.

Each experiment answers the question the last one left open. The white paper is the argument they were built to test.

Anchor · the argument

The Decision Proof Gap

White paper · WP-PROOF-01 · 35 pp.

AI governance frameworks describe how decisions should be made — but the moment a decision is actually executed, the evidence to defend it almost never exists in a form anyone can verify.

When AI hedges and policy commits
They almost never agreed — but not because the agent was reckless. The policy engine gave a straight allow or deny; the agent kept reaching for 'needs review' when the evidence was incomplete.
MRP-2026-02 · 26 pp.
When precedents commit AI and policy pulls it back
More context didn't make it steadily more decisive. It stayed on the fence until we showed it past decisions, then committed in a single jump — and eased back off once it saw the full policy.
MRP-2026-03 · 38 pp.
Precedents, policy, and commitment
On the same records, GPT-5.4 and Claude Opus 4.7 reasoned the same way, yet committed to verdicts on very different fractions of decisions — 23% vs 80%.
MRP-2026-04 · 46 pp.