See It Work — The Quality-of-Earnings that defends itself | Book 11 · AI Agents for M&A

The quality-of-earnings memo is the heart of your deal case. The real question isn't whether it's right today — it's what backs it when the audit committee re-opens it in six months.

A memo is an assertion. When a number is challenged post-close, you need the work behind it — every normalization, every adjustment — traceable, not reconstructed from someone's working files.

What this means for you

In M&A the expensive moment is the challenge after close. An attested Q-of-E carries its own chain of custody, so the analysis stands on the record instead of on whoever still has the working file. What this means for you: your quality-of-earnings analysis defends itself after close, because it carries its own proof of how it was produced — no scramble for whoever still has the file.

The analysis produced an artifact, not just a document. Here's the receipt:

Quality-of-Earnings Artifact

artifactquality_of_earnings

normalized_ebitdaattested

chain_of_custodytrue

survives_audit_committeetrue

Re-verifiable on demand — so the Q-of-E is evidence, not a claim you have to re-defend from scratch.

For the technical reader — the command, and how to verify it yourself

# one line · you do not need to run this
python examples/compliance_cfo_demo.py

jq '.compliance_attestation.summary.action_class' memory/*_summary.json
# -> produce_forecast_artifact

Full step-by-step is in Appendix RX: Hands-On Demonstrations in the book.