Skip to content

About

Adoption with receipts: an evidence-graded, fully cited review of how to drive AI adoption and agentic QA in software organisations. October 2026.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Repository files navigation

citewright

Adoption with receipts.

CITE: Claims, Impact, Trust, Evidence.

An evidence-graded, fully cited review of how to drive AI adoption, including agentic quality assurance, in software organisations. It compares two starting points: an established organisation and a start-up about two years old. Every figure is attributed to a source and graded for strength, and anything that is the author's judgement is labelled as such.

Evidence current to 10 October 2026. Edition: v1.1.5.

Start here

  • Short on time: read the executive brief, two pages.
  • Planning a rollout: Sections 4 to 8 of the report, the readiness check to choose a first move, then the templates.
  • Sceptical of a number: go straight to the evidence register.

What is in this repository

File Contents
executive-brief.md Two-page summary for decision makers
report.md The full report
readiness-check.md Fourteen questions to choose a first move
templates.md Starting points for the AI stance, pilot card, baseline sheet, decision log and more
evidence-register.md Every headline figure with its source, grade and caveat
references.md Numbered sources with access dates
CHANGELOG.md Dated editions and what changed

How to read the evidence

Grade Meaning
A Controlled study with a disclosed method
B Large survey or telemetry, often vendor produced, mostly correlational
C Case study, conference talk, practitioner or legal commentary

Statements tagged Judgement are the author's synthesis, not findings. Citation numbers such as [7] refer to references.md.

Limitations

Much of the quantitative evidence comes from vendors and is correlational. Some sources were read only as summaries or trade-press coverage. The report's limitations section lists these in full. Please read it before relying on any single figure.

Corrections

Spotted a wrong figure, a dead link or a misread source? Open an issue with the section number and the source.

Licence and disclaimer

Text licensed under CC BY 4.0, copyright 2026 Swissola. This is not legal or financial advice. The two organisational contexts are deliberately generic and do not describe any specific organisation.

About

Adoption with receipts: an evidence-graded, fully cited review of how to drive AI adoption and agentic QA in software organisations. October 2026.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Used by

Contributors