chore: Full consistency scan — AOC->PULSAR, fix training-data claims, fix 90% claim

AOC -> PULSAR across 10 files (engagement-model, retained-capability,
modular-engagements, blue-purple-team-foundation, about-cqre, about-cqre-cs,
consultant-field-guide, ai-assisted-tvm, m365-e3-hardening,
sovereign-tool-stack, risk-register-example).

Training-data framing corrected in:
- executive-summary.md: opening paragraph and risk table
- README.md: 90% solution claim -> 30-60% in 180 days
- modular-engagements.md: public API data use claim
- cis-controls-mapping.md: data protection framing
- antifragile-risk-register.md: risk entry softened to accurate framing
- azure-openai-sovereignty-bridge.md: consumer vs enterprise API distinction

Co-Authored-By: Tom Kracmar <tom+claude@cat6.cz>
This commit is contained in:
Claude Sonnet 4.6
2026-06-05 07:05:13 +00:00
parent bcebf8ebb3
commit 3062e435ca
16 changed files with 55 additions and 55 deletions
+1 -1
View File
@@ -81,7 +81,7 @@ We are a small, specialist practice. We do not run a 24/7 SOC. We do not sign of
**6. [PLACEHOLDER: Your sixth differentiator]**
> **INTERNAL NOTE** — Add a differentiator specific to your practice. Examples: deep expertise in a specific vertical (OT/utilities, Czech regulatory environment); proprietary tools (ASTRAL, AOC, Elysium); language capability; specific certifications; methodology approach.
> **INTERNAL NOTE** — Add a differentiator specific to your practice. Examples: deep expertise in a specific vertical (OT/utilities, Czech regulatory environment); proprietary tools (ASTRAL, PULSAR, Elysium); language capability; specific certifications; methodology approach.
[PLACEHOLDER: specific differentiator with one concrete example or proof point]