For compliance + brand-voice ops + AI content-ops leadership · Published June 1, 2026

Birdeye AI Gate shipped your auto-reply. The draft was high- confidence on the LLM score and flagged for PHI on Presidio. The binary decision missed it.

You run 100+ AI-drafted review responses per day for a 200-location operator with regulated-vertical exposure (medical-HIPAA, financial-FINRA, -state, cosmetic-FDA, childcare-state- license, FTC endorsement, per-jurisdiction state-AG deceptive- practice). Birdeye AI Reply + AI Gate, Glowing Pre-Publish + AI Reply, Trustpilot AI Approve, Yelp AI Suggestions + Approve, Reputation.com AI Draft, Podium Review Reply Studio, Localworks Review Reply Generator, ChatMeter AI Reply, SOCi Reply AI, Brandify AI Reply, Synup AI Reply, GMB Everywhere AI Reply, ReviewTrackers, and Reviewshake ship per-platform AI-draft-and-publish on a binary auto-vs-manual gate. Microsoft Presidio, AWS Comprehend Medical + PHI Detection, Google Cloud DLP + Healthcare API, Azure Purview, BigID, OneTrust DataDiscovery, Privacera, Cyera, Spirion, IBM Guardium Insights, and Truata ship PHI + PII detection. OpenAI GPT-4 logprobs, Anthropic Claude logprobs, Google Gemini logprobs, Cohere Command R+ confidence, Temperature Scaling, Platt Scaling, Isotonic Regression, and Histogram Binning ship LLM confidence calibration. Asana, Trello, Linear, Notion, ClickUp, Monday.com, Jira, GitLab Issue, GitHub Issue, Frame.io, Pinpoint, Workfront, and Wrike ship editorial workflow. OpenAI Evals, LangSmith, Helicone, Braintrust, Weights & Biases Prompts, Vellum, Phoenix (Arize), and Promptfoo ship multi-rubric evaluation. None of them run all 9 scoring dimensions together (LLM confidence + brand- voice + per-vertical compliance + PHI/PII detection + claim substantiation + sentiment + crisis flag + FTC endorsement + per- jurisdiction) and route on a 6-tier threshold (auto-publish + editorial queue + supervisor approval + compliance review + legal review + block) with human-in-the-loop calibration feedback. That orchestration is operator-side architecture.

Tier 1 — AI Readiness Assessment Tier 3 — Fractional CMO

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What this skill closes

Multi-dimensional scoring across per-LLM-confidence (GPT-4-logprob + o1-confidence + Claude-logprob + Gemini-logprob + Cohere-Command-confidence + Mistral-confidence + multi-LLM-ensemble-Cohen-kappa-Krippendorff-Fleiss-kappa) + per-LLM-confidence-calibration (Temperature-Scaling-Guo-2017 + Platt + Isotonic + Histogram + Beta-Calibration) + per-brand-voice (tone + vocabulary + forbidden-phrase + required-phrase + corporate-vs-franchisee) + per-vertical-compliance (FDA-substantiation + FDA-cosmetic-drug + FDA-health-claim + state-medical-board + state--control + FINRA + HIPAA + state-childcare-license) + per-PHI-detection (Presidio + AWS-Comprehend-Medical + Google-Cloud-DLP-Healthcare + Azure-Purview) + per-PII-detection (Presidio + DLP + AWS-Comprehend + Purview + BigID + OneTrust + Privacera + Cyera + Spirion + Guardium + Truata) + per-claim-substantiation + per-sentiment + per-crisis-flag + per-FTC-Endorsement + per-jurisdiction.
7-tier threshold spec — per-Tier-1-auto-publish (LLM-conf greater-than-95% + brand-voice greater-than-90 + compliance greater-than-95 + no-PHI + no-PII + no-crisis-flag) + per-Tier-2-spot-check (80-95) + per-Tier-3-human-review (60-80) + per-Tier-4-supervisor-approval (40-60) + per-Tier-5-compliance-review (PHI-detected vs PII-detected vs FTC-Endorsement-violation vs state-AG-risk) + per-Tier-6-legal-review (FDA-warning-letter-risk + state-AG-civil-penalty + FINRA-violation + HIPAA-violation) + per-Tier-7-block (crisis-flag + cannot-substantiate-claim + policy-violation).
Per-vertical + per-jurisdiction + per-corporate-vs-franchisee + per-buyer-state threshold customization — per-medical-stricter-HIPAA + per-financial-stricter-FINRA + per--stricter-state--control + per-California-stricter-Prop-65 + per-New-York-stricter-GBL-349-350 + per-Urgent-Emergency-stricter-faster-routing.
Cross-rubric confidence-interval Bayesian aggregation — per-rubric-Bayesian-prior + per-rubric-Bayesian-posterior + per-rubric-credible-interval-95% + per-cross-rubric-weighted-aggregation (LLM-confidence-0.30 + brand-voice-0.15 + vertical-compliance-0.20 + PHI-0.10 + PII-0.05 + claim-0.10 + crisis-flag-0.05 + FTC-Endorsement-0.05) + per-cross-rubric-disagreement-detection + per-disagreement-routing-to-human.
Human-in-loop feedback calibration — per-reviewer-pass-fail + per-reviewer-confidence + per-reviewer-suggested-edit-diff + per-reviewer-reason-classification + per-LLM-vs-human-comparison + per-rolling-30-day-90-day-365-day-accuracy + per-LLM-calibration-bias-detection (overconfidence + underconfidence + systematic-vertical + systematic-jurisdiction) + per-LLM-weighted-ensemble-update + per-threshold-iteration + per-rubric-prompt-iteration + per-few-shot-example-update + per-cohort-evaluation.
Per-decision audit-trail + rolling-accuracy + A/B-test — per-decision-audit + per-rolling-accuracy-tracking + per-A/B-test-spec + per-threshold-experiment + per-tier-experiment.
Per-portfolio audit-trail — every multi-dimensional score, every threshold-tier decision, every routing-action, every human-reviewer-feedback, every calibration-update, every A/B-test-result logged.

Why per-vendor-Birdeye-canonical-AI-Gate-canonical-binary-auto-vs-manual breaks at multi-location-multi-vertical-multi-jurisdiction scale

Per-vendor-Birdeye-canonical-AI-Gate-canonical-binary-auto-vs-manual ships per-account per-template per-binary-auto-vs-manual-decision primitive. Per-vendor-Glowing + Trustpilot-AI-Approve + Yelp-AI-Approve + Reputation.com + Podium + Localworks + ChatMeter + SOCi + Brandify + Synup + GMB-Everywhere + ReviewTrackers + Reviewshake-canonical-single-account ship per-vendor per-native binary-decision primitives.

At 1-location-1-vertical-1-jurisdiction scale per-binary-auto-vs-manual primitive is enough. At 200-location-multi-vertical-multi-jurisdiction-multi-language scale per-canonical-binary-auto-vs-manual-coarse-decisioning + per-canonical-multi-dimensional-threshold-gating-blind + per-canonical-per-vertical-PHI-PII-claim-compliance-blind (per-medical-HIPAA-PHI + per-financial-FINRA-disclosure + per--state-claim + per-childcare-state-license-disclosure).

Per-canonical-per-jurisdiction-FTC-Endorsement-blind + per-canonical-per-jurisdiction-state-AG-deceptive-practice-blind + per-canonical-cross-rubric-confidence-interval-aggregation-blind + per-canonical-crisis-flag-detection-blind (per-emerging-PR-crisis-not-detected + per-FDA-warning-letter-risk-not-flagged + per-state-AG-enforcement-risk-not-flagged) + per-canonical-multi-tier-threshold-blind + per-canonical-rolling-accuracy-tracking-blind + per-canonical-human-in-loop-feedback-calibration-blind.

Per-canonical-auto-published-FDA-warning-letter-risk + per-canonical-auto-published-state-AG-civil-penalty-risk + per-canonical-auto-published-HIPAA-violation-risk + per-canonical-auto-published-FINRA-disclosure-violation-risk + per-canonical-auto-published-crisis-amplification-risk + per-canonical-auto-published-brand-reputation-damage + per-canonical-editorial-queue-volume-overflow-rate-22-to-47-percent. Per-canonical-multi-dimensional-scoring + per-canonical-LLM-confidence + per-canonical-brand-voice + per-canonical-per-vertical-compliance + per-canonical-PHI-PII + per-canonical-claim-substantiation + per-canonical-sentiment + per-canonical-crisis-flag + per-canonical-FTC-Endorsement + per-canonical-per-jurisdiction + per-canonical-multi-tier-threshold-decisioning + per-canonical-human-in-loop-calibration is operator-side architecture above per-vendor per-binary-decision primitive.

What is in market today

Per-platform per-review-response-AI-platform

Birdeye AI Reply + AI Gate, Glowing Pre-Publish + AI Reply, Trustpilot AI Approve, Yelp AI Suggestions + Approve, Reputation.com AI Draft, Podium Review Reply Studio, Localworks (Moz Local) Review Reply Generator, ChatMeter AI Reply, SOCi Reply AI, Brandify AI Reply, Synup AI Reply, GMB Everywhere AI Reply, ReviewTrackers, Reviewshake. Per-account per-template per-binary-auto-vs-manual-decision. Per-canonical-multi-dimensional-scoring + per-multi-tier-threshold-decisioning is not the primitive.

Per-platform per-PHI-PII-detection

Microsoft Presidio, AWS Comprehend Medical + PHI Detection, Google Cloud DLP + Healthcare API, Azure Purview, BigID, OneTrust DataDiscovery, Privacera, Cyera, Spirion, IBM Guardium Insights, Truata Pseudonymization. Per-account per-detection-rule. Per-canonical-per-vertical-canonical-PHI-PII-canonical-cross-rubric-aggregation is not the primitive.

Per-platform per-LLM-confidence-calibration

OpenAI GPT-4 logprobs, Anthropic Claude logprobs, Google Gemini logprobs, Cohere Command R+ confidence, Calibration of Modern Neural Networks (Guo 2017), Temperature Scaling, Platt Scaling, Isotonic Regression, Histogram Binning, Beta Calibration. Per-LLM per-prompt per-completion-logprob. Per-canonical-cross-LLM-canonical-agreement-canonical-Cohen-kappa-canonical-Krippendorff-canonical-Fleiss-kappa is not the primitive.

Per-platform per-multi-rubric-evaluation

OpenAI Evals, LangSmith, Helicone, Braintrust, Weights & Biases Prompts, Vellum, Phoenix (Arize), Promptfoo. Per-account per-evaluation per-rubric-spec. Per-canonical-cross-rubric-canonical-Bayesian-confidence-interval-canonical-aggregation + per-cross-rubric-disagreement-routing is not the primitive.

How the architecture is set up

Per-portfolio per-canonical-multi-LLM-canonical-confidence-spec. Per-OpenAI-GPT-4-logprob + per-o1-confidence + per-Claude-logprob + per-Gemini-logprob + per-Cohere-Command-confidence + per-Mistral-confidence + per-multi-LLM-ensemble-Cohen-kappa-Krippendorff-Fleiss-kappa canonical-LLM-confidence.
Per-portfolio per-canonical-LLM-confidence-calibration. Per-Temperature-Scaling-Guo-2017 + per-Platt + per-Isotonic + per-Histogram + per-Beta-Calibration canonical-calibration.
Per-portfolio per-canonical-brand-voice-score-spec. Per-tone + per-vocabulary + per-forbidden-phrase + per-required-phrase + per-corporate-vs-franchisee canonical-brand-voice.
Per-portfolio per-canonical-per-vertical-compliance-score-spec. Per-FDA-substantiation + per-FDA-cosmetic-drug + per-FDA-health-claim + per-state-medical-board + per-state--control + per-FINRA + per-HIPAA + per-state-childcare-license canonical-vertical-compliance.
Per-portfolio per-canonical-PHI-PII-detection-substrate. Per-Presidio + per-AWS-Comprehend-Medical + per-Google-Cloud-DLP-Healthcare + per-Azure-Purview + per-BigID + per-OneTrust + per-Privacera + per-Cyera + per-Spirion + per-IBM-Guardium + per-Truata canonical-multi-vendor.
Per-portfolio per-canonical-claim-substantiation-score + sentiment-score + crisis-flag-detection + FTC-Endorsement-score + per-jurisdiction-score. Per-multi-LLM-implied-claim-detection + per-substantiation-verification-vs-FDA-NIH-clinical-study + per-VADER-TextBlob-RoBERTa-FinBERT-DistilBERT + per-emerging-PR-crisis-detection + per-FDA-warning-letter-risk + per-state-AG-enforcement-risk + per-state-medical-board-investigation-risk + per-California-Prop-65 + per-New-York-GBL-349-350.
Per-portfolio per-canonical-cross-rubric-Bayesian-confidence-interval-aggregation. Per-Bayesian-prior + per-Bayesian-posterior + per-credible-interval-95 + per-weighted-aggregation (0.30 + 0.15 + 0.20 + 0.10 + 0.05 + 0.10 + 0.05 + 0.05) + per-disagreement-detection + per-disagreement-routing.
Per-portfolio per-canonical-7-tier-threshold-spec. Per-Tier-1-auto-publish-greater-than-95 + per-Tier-2-spot-check-80-95 + per-Tier-3-human-review-60-80 + per-Tier-4-supervisor-approval-40-60 + per-Tier-5-compliance-review-PHI-PII-FTC + per-Tier-6-legal-review-FDA-AG-FINRA-HIPAA + per-Tier-7-block-crisis-flag-claim-unsubstantiated-policy-violation.
Per-portfolio per-canonical-per-vertical-per-jurisdiction-per-corporate-vs-franchisee-per-buyer-state-threshold-customization. Per-medical-stricter-HIPAA + per-financial-stricter-FINRA + per--stricter + per-California-stricter + per-New-York-stricter + per-Urgent-Emergency-faster-routing.
Per-portfolio per-canonical-per-decision-canonical-audit-trail-spec. Per-multi-dimensional-score-log + per-tier-decision-log + per-routing-action-log.
Per-portfolio per-canonical-per-decision-canonical-rolling-accuracy-tracking. Per-rolling-30-day + per-90-day + per-365-day accuracy + per-bias-detection + per-LLM-weighted-ensemble-update.
Per-portfolio per-canonical-human-in-loop-canonical-feedback-calibration. Per-reviewer-pass-fail + per-reviewer-confidence + per-reviewer-suggested-edit-diff + per-reviewer-reason + per-LLM-vs-human-comparison + per-threshold-iteration + per-rubric-prompt-iteration + per-few-shot-update + per-cohort-evaluation.
Per-portfolio per-canonical-A-B-test-spec + audit-trail + CMO-dashboard-rollup. Per-threshold-experiment + per-tier-experiment + per-A/B-test-success-metric (per-CTR + per-conversion + per-NPS + per-CSAT + per-recovery-rate + per-FDA-warning-letter-rate-canonical-zero + per-state-AG-civil-penalty-canonical-zero) + per-CMO-dashboard-rollup.

Frequently asked questions

What is auto-publish threshold gating for multi-location operators?

A closed loop that scores every AI-drafted response on 9 dimensions and routes the response through 6 tiers based on the aggregate score. The 9 dimensions: LLM confidence (extracted from OpenAI GPT-4 logprobs + Anthropic Claude logprobs + Google Gemini logprobs + Cohere Command R+ confidence + multi-LLM ensemble agreement via Cohen kappa, Krippendorff alpha, or Fleiss kappa; calibrated with Temperature Scaling, Platt Scaling, Isotonic Regression, Histogram Binning, or Beta Calibration); brand-voice (tone + vocabulary + forbidden-phrase + required-phrase + corporate-vs-franchisee voice segmentation); per-vertical compliance (FDA substantiation per supplement; FDA cosmetic-drug per beauty; FDA health-claim per food; state-medical-board per medical; state--control per ; FINRA disclosure per financial; HIPAA per healthcare; state-childcare-license per childcare); PHI detection (Microsoft Presidio + AWS Comprehend Medical + Google Cloud DLP Healthcare API + Azure Purview); PII detection (Microsoft Presidio + Google Cloud DLP + AWS Comprehend + Azure Purview + BigID + OneTrust + Privacera + Cyera + Spirion + IBM Guardium + Truata); claim substantiation (multi-LLM implied-claim detection + verification vs FDA/NIH clinical study database); sentiment; crisis flag (emerging PR crisis + FDA warning-letter risk + state-AG enforcement risk + state-medical-board investigation risk); FTC endorsement compliance; per-jurisdiction compliance. The 6 tiers: auto-publish; editorial queue; supervisor approval; compliance review; legal review; block. The closed loop adds per-decision audit trail, rolling-accuracy tracking, human-in-the-loop calibration feedback, and per-threshold A/B testing. The review-response AI-platform vendors (Birdeye AI Reply + AI Gate, Glowing Pre-Publish + AI Reply, Trustpilot AI Approve, Yelp AI Suggestions + Approve, Reputation.com AI Draft, Podium Review Reply Studio, Localworks Review Reply Generator, ChatMeter AI Reply, SOCi Reply AI, Brandify AI Reply, Synup AI Reply, GMB Everywhere AI Reply, ReviewTrackers, Reviewshake) ship the per-platform AI-draft-and-publish primitive on binary auto-vs-manual. The PHI/PII detection vendors, LLM-confidence calibration libraries, editorial-workflow tools, and multi-rubric evaluation platforms ship the per-dimension scoring primitives. The 9-dimension scoring + 6-tier threshold decisioning + human-in-the-loop calibration loop above all of them is the operator-side architecture.

Why does single-vendor binary auto-vs-manual decisioning break down at multi-location, multi-vertical, multi-jurisdiction scale?

Birdeye AI Gate, Glowing Pre-Publish, Trustpilot AI Approve, Yelp AI Approve, Reputation.com AI Draft, Podium Review Reply Studio, Localworks Review Reply Generator, ChatMeter AI Reply, SOCi Reply AI, Brandify AI Reply, Synup AI Reply, GMB Everywhere AI Reply, ReviewTrackers, and Reviewshake each ship excellent per-platform AI-draft-and-publish. Each ships a binary auto-vs-manual decision. At a single-location, single-vertical, single-jurisdiction operator a binary gate is enough. At a 200-location operator running medical + financial + + childcare verticals across multiple states, a binary gate collapses too much detail. A draft can be high-confidence on the LLM logprob and simultaneously flagged on PHI by Presidio. It can be clean on brand voice and simultaneously violate FTC endorsement disclosure. It can pass every score and still be flagged for an emerging PR crisis the binary gate cannot see. A binary gate that ships the high-LLM-confidence draft without checking PHI exposes the brand to HIPAA violation risk. A binary gate that holds the borderline-brand-voice draft for manual review even when it passes every compliance gate floods the editorial queue with reviewable drafts the team cannot work through. The 9-dimension scoring + 6-tier threshold decisioning + human-in-the-loop calibration loop above the binary gate is what closes the gap between high-confidence-but-PHI-flagged drafts and borderline-but-compliant drafts.

What does per-portfolio per-canonical-multi-dimensional-canonical-scoring-canonical-aggregation do?

Per-portfolio per-canonical-multi-dimensional-canonical-scoring-canonical-aggregation runs per-portfolio per-canonical-LLM-confidence-canonical-score-canonical-spec (per-OpenAI-GPT-4-canonical-logprob-canonical-extraction + per-OpenAI-o1-canonical-confidence + per-Anthropic-Claude-canonical-logprob + per-Google-Gemini-canonical-logprob + per-Cohere-Command-canonical-confidence + per-Mistral-Large-canonical-confidence + per-multi-LLM-canonical-ensemble-canonical-agreement-canonical-Cohen-kappa-canonical-Krippendorff-alpha-canonical-Fleiss-kappa per-canonical-LLM-confidence) + per-canonical-LLM-confidence-canonical-calibration (per-Temperature-Scaling-canonical-Guo-2017 + per-Platt-Scaling + per-Isotonic-Regression + per-Histogram-Binning + per-Beta-Calibration per-canonical-calibration-method) + per-canonical-brand-voice-canonical-score (per-tone-validation + per-vocabulary-validation + per-forbidden-phrase-validation + per-required-phrase-validation + per-corporate-vs-franchisee-voice-segmentation per-canonical-brand-voice-score) + per-canonical-per-vertical-compliance-canonical-score (per-FDA-substantiation-per-supplement + per-FDA-cosmetic-drug-per-beauty + per-FDA-health-claim-per-food + per-state-medical-board-per-medical + per-state--control-per- + per-FINRA-disclosure-per-financial + per-HIPAA-per-healthcare + per-state-childcare-license-per-childcare per-canonical-vertical-score) + per-canonical-PHI-canonical-detection (per-Microsoft-Presidio-PHI + per-AWS-Comprehend-Medical-PHI + per-Google-Cloud-DLP-Healthcare-API + per-Azure-Purview-PHI per-canonical-PHI-detection) + per-canonical-PII-canonical-detection (per-Microsoft-Presidio-PII + per-Google-Cloud-DLP + per-AWS-Comprehend-PII + per-Azure-Purview + per-BigID + per-OneTrust + per-Privacera + per-Cyera + per-Spirion + per-IBM-Guardium + per-Truata per-canonical-PII-detection) + per-canonical-claim-substantiation-canonical-score (per-multi-LLM-implied-claim-detection + per-substantiation-verification-vs-FDA-NIH-clinical-study-database per-canonical-claim-substantiation) + per-canonical-sentiment-canonical-score + per-canonical-crisis-flag-canonical-detection (per-emerging-PR-crisis-detection + per-FDA-warning-letter-risk-detection + per-state-AG-enforcement-risk-detection + per-state-medical-board-investigation-risk per-canonical-crisis-flag) + per-canonical-FTC-Endorsement-canonical-compliance-score + per-canonical-per-jurisdiction-canonical-compliance-score. Per-portfolio audit-trail.

How does per-portfolio per-canonical-per-threshold-canonical-spec + per-decision-routing work?

Per-portfolio per-canonical-per-threshold-canonical-spec runs per-portfolio per-canonical-multi-tier-canonical-threshold-canonical-spec (per-Tier-1-canonical-auto-publish-canonical-LLM-confidence-greater-than-95-percent-canonical-brand-voice-greater-than-90-canonical-compliance-greater-than-95-canonical-no-PHI-no-PII-no-crisis-flag + per-Tier-2-canonical-spot-check-editorial-queue-canonical-LLM-confidence-80-95-canonical-brand-voice-80-90-canonical-compliance-85-95 + per-Tier-3-canonical-human-review-editorial-queue-canonical-LLM-confidence-60-80-canonical-brand-voice-65-80-canonical-compliance-70-85 + per-Tier-4-canonical-supervisor-approval-canonical-LLM-confidence-40-60-canonical-borderline-rubric + per-Tier-5-canonical-compliance-review-canonical-PHI-detected-vs-PII-detected-vs-FTC-Endorsement-violation-vs-state-AG-risk + per-Tier-6-canonical-legal-review-canonical-FDA-warning-letter-risk-vs-state-AG-civil-penalty-vs-FINRA-violation-vs-HIPAA-violation + per-Tier-7-canonical-block-canonical-crisis-flag-detected-vs-cannot-substantiate-claim-vs-policy-violation per-canonical-multi-tier-spec) + per-canonical-per-vertical-canonical-threshold-canonical-customization (per-medical-vertical-stricter-canonical-HIPAA + per-financial-vertical-stricter-canonical-FINRA + per--vertical-stricter-canonical-state--control per-canonical-vertical-customization) + per-canonical-per-jurisdiction-canonical-threshold-canonical-customization (per-California-stricter-canonical-Prop-65 + per-New-York-stricter-canonical-GBL-349-350 per-canonical-jurisdiction-customization) + per-canonical-per-corporate-vs-franchisee-canonical-threshold-canonical-customization + per-canonical-per-buyer-state-canonical-threshold-canonical-customization (per-Urgent-Emergency-stricter-canonical-faster-routing) + per-canonical-per-decision-canonical-audit-trail-canonical-spec + per-canonical-per-decision-canonical-rolling-accuracy-canonical-tracking + per-canonical-per-decision-canonical-A-B-test-canonical-spec. Per-portfolio audit-trail.

What does per-portfolio per-canonical-human-in-loop-canonical-feedback-canonical-calibration do?

Per-portfolio per-canonical-human-in-loop-canonical-feedback-canonical-calibration runs per-portfolio per-canonical-human-reviewer-canonical-feedback-canonical-ingestion (per-reviewer-canonical-pass-fail-canonical-decision + per-reviewer-canonical-confidence-canonical-score + per-reviewer-canonical-suggested-edit-canonical-diff + per-reviewer-canonical-reason-canonical-classification per-canonical-feedback-ingestion) + per-canonical-LLM-score-canonical-vs-human-score-canonical-comparison (per-LLM-confidence-canonical-vs-human-confidence + per-LLM-brand-voice-vs-human-brand-voice + per-LLM-compliance-vs-human-compliance + per-LLM-PHI-detection-vs-human-PHI + per-LLM-claim-substantiation-vs-human per-canonical-comparison) + per-canonical-per-LLM-canonical-rolling-30-day-canonical-accuracy + per-canonical-per-LLM-canonical-rolling-90-day-canonical-accuracy + per-canonical-per-LLM-canonical-rolling-365-day-canonical-accuracy + per-canonical-per-LLM-canonical-calibration-bias-canonical-detection (per-overconfidence-bias + per-underconfidence-bias + per-systematic-bias-per-vertical + per-systematic-bias-per-jurisdiction per-canonical-bias-detection) + per-canonical-per-LLM-canonical-weighted-ensemble-blend-canonical-update + per-canonical-per-threshold-canonical-spec-canonical-iteration (per-Tier-1-threshold-adjustment + per-Tier-2-threshold-adjustment per-canonical-threshold-iteration) + per-canonical-per-rubric-canonical-prompt-canonical-iteration + per-canonical-per-rubric-canonical-few-shot-example-canonical-update + per-canonical-per-vertical-canonical-customization-canonical-iteration + per-canonical-per-jurisdiction-canonical-customization-canonical-iteration + per-canonical-cohort-canonical-evaluation-canonical-spec (per-LLM-confidence-cohort + per-vertical-cohort + per-jurisdiction-cohort + per-buyer-state-cohort per-canonical-cohort-evaluation). Per-portfolio audit-trail.

What does per-portfolio per-canonical-cross-rubric-canonical-confidence-interval-canonical-aggregation + per-review-response-agent-canonical-bundle do?

Per-portfolio per-canonical-cross-rubric-canonical-confidence-interval-canonical-aggregation runs per-portfolio per-canonical-per-rubric-canonical-confidence-interval-canonical-Bayesian-canonical-credible-interval-canonical-computation (per-rubric-canonical-Bayesian-prior + per-rubric-canonical-Bayesian-posterior + per-rubric-canonical-credible-interval-95-percent per-canonical-Bayesian-CI) + per-canonical-cross-rubric-canonical-weighted-canonical-aggregation (per-LLM-confidence-weighted-0.30 + per-brand-voice-weighted-0.15 + per-vertical-compliance-weighted-0.20 + per-PHI-weighted-0.10 + per-PII-weighted-0.05 + per-claim-weighted-0.10 + per-crisis-flag-weighted-0.05 + per-FTC-Endorsement-weighted-0.05 per-canonical-weighted-aggregation) + per-canonical-cross-rubric-canonical-disagreement-canonical-detection (per-LLM-confidence-high-canonical-vs-compliance-low + per-brand-voice-high-canonical-vs-claim-low per-canonical-disagreement) + per-canonical-cross-rubric-canonical-disagreement-canonical-routing (per-disagreement-canonical-routes-to-human-canonical-review per-canonical-disagreement-routing) + per-canonical-aggregate-confidence-canonical-final-canonical-score + per-canonical-final-confidence-canonical-vs-threshold-canonical-comparison. Per-review-response-agent-canonical-bundle integrates the auto-publish-gating skill with sibling skills on the same agent: per-canonical-cs-agent-assist (skill sibling — per-store CS context co-pilot substrate) + per-canonical-sentiment-concern-classification (skill sibling — provides sentiment score input) + per-canonical-brand-voice-constrained-response-drafting (skill sibling — drafts response that this skill gates) + per-canonical-crisis-detection-escalation (skill sibling — provides crisis-flag input) + per-canonical-post-crisis-SEO-reputation-repair (skill sibling — post-crisis-repair if crisis-flag detected). Per-portfolio audit-trail.

Engage the review-response agent

Per-portfolio per-draft per-LLM-confidence per-brand-voice per-vertical-compliance per-PHI per-PII per-claim per-sentiment per-crisis-flag per-FTC-Endorsement per-per-jurisdiction per-threshold-spec configurable threshold decisioning + per-human-in-loop-calibration + per-portfolio audit-trail shipped as the orchestration layer above your existing per-review-response-AI-platform + per-PHI-PII-detection + per-LLM-confidence-calibration + per-editorial-workflow + per-multi-rubric-evaluation primitive.

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