Resource hub

AI Attribution & Evidence Infrastructure Hub

Articles, frameworks, and practical guides for organisations asking who or what acted, under whose authority, what was reviewed, and what evidence remains when AI, humans, and delegated systems work together.

Read the Attribution Stack guide See the article library

Start here

What Is TimeToPoint?

The evidence layer for AI-mediated work — a pillar guide to work verification.

Pillar guide

The Attribution Stack

Six layers, one record — the canonical evidence model.

Framework

Domain Verifiability

When to trust autonomy — matching AI freedom to evidence strength.

Framework

AI Agent Verification

How to Verify That Your AI Agents Are Actually Doing the Work You're Billed For

Verification receipts, system-of-record checks, and the evidence layer underneath agent invoices.

Featured

False Task Completion: The Hidden Risk in Agentic Workflows

The agent said "done." The system of record disagrees. A field guide to detection.

TTP-02

Agent Observability vs Verification

Observability is for builders. Verification is for the people who decide.

TTP-03

CFO & Finance

A CFO Guide to Verifying AI-Assisted Bills Before Payment

A practical evidence framework and 10-question checklist for CFOs.

TTP-04

Governance & Assurance

From Trust to Proof: AI Governance Needs Runtime Evidence

Documentation describes controls. Evidence shows whether they operated.

TTP-05

Attribution & Workforce

AI + Human Collaboration: Who Actually Did the Work?

The Attribution Stack as a framework for separating contribution, authority, review, and outcome.

TTP-06