Vigil·last review 22h ago·next review cycle 19 May 2026

Every claim this publication has made, and whether it still holds.

The point of writing about enterprise AI is to be right for longer than a news cycle. This page tracks every argument published here, reviewed on a 30–90 day rhythm. If something stops holding, it's marked and the piece is annotated. Nothing is quietly removed.

20holding

03partial

00not holding

Status	Claim	Next review
Holding	AM-020 · pub 31 Jul 2025 · rev 19 Apr 2026 Based on 2026 CFO-guide data: €368K vs €158K naive estimate, 40-60% TCO underestimate, 73% exceed by 2.4x, 15-20%/year maintenance, supervision tax in thousands/month, 70% failure from change management. Watching for a Big 4 TCO framework or enterprise CFO survey that resolves the cross-departmental framing.	+54dnext review
Partial	AM-014 · pub 3 Aug 2025 · rev 19 Apr 2026 Backfilled claim. Body predates current editorial standard; spine holds, per-claim fact-check deferred to first review cycle.	+54dnext review
Partial	AM-016 · pub 27 Jul 2025 · rev 19 Apr 2026 Backfilled claim. Body predates current editorial standard; spine holds, per-claim fact-check deferred to first review cycle.	+54dnext review
Holding	AM-032 · pub 24 Apr 2026 · rev 24 Apr 2026 First piece in planned vertical-industry series. Cluster G anchor. 60-day review cadence. Watches: (1) major ESA (EBA/ESMA/EIOPA) publishing agentic-AI-specific guidance, (2) DORA or EU AI Act enforcement action redefining liability-transfer boundaries, (3) industry-body vendor contract templates closing DORA third-party-risk gap.	+59dnext review
Holding	AM-031 · pub 24 Apr 2026 · rev 24 Apr 2026 Third of three claim-archive signature pieces (after AM-029 Stanford 88% and AM-030 McKinsey 23%). 60-day review cadence. Watches: (1) frontier model crossing 50% on TheAgentCompany without corresponding deployment-pattern change, (2) cross-enterprise analyses showing capability-wait deployments equivalent to governance-discipline deployments, (3) benchmark refresh shifting the easy/medium/hard distribution such that more of the enterprise task space lands in the viable scope envelope.	+59dnext review
Holding	AM-030 · pub 24 Apr 2026 · rev 24 Apr 2026 Claim-archive signature piece analysing McKinsey State of AI 2025 (ANA-2026-006). Cross-validated against Stanford DEL ACA-2026-003, Gartner ANA-2026-001/002, CMU ACA-2026-004. 60-day review cadence. Watches: (1) subsequent large-sample datasets showing 23% and 6% compressing toward 39% experimenting, (2) cross-enterprise analyses disproving the preconditions framing, (3) analyst frameworks converging on preconditions-style framing.	+59dnext review
Holding	AM-029 · pub 24 Apr 2026 · rev 24 Apr 2026 Signature piece framing. 60-day review cadence. Watches: (1) a frontier-model generation collapsing the 88%/12% gap without governance change, (2) cross-enterprise studies showing dimensional scoring models don't predict deployment outcomes, (3) regulatory frameworks evolving to score deployment quality beyond risk-tier classification.	+59dnext review
Holding	AM-028 · pub 24 Apr 2026 · rev 24 Apr 2026 Claim scoped to enterprise agentic AI procurement specifically. 60-day review cadence. Watches: (1) aggregate analyses showing partner outcomes statistically indistinguishable from buy, (2) major consultancies adopting three-path templates (Gartner, Forrester, McKinsey), (3) regulatory procurement frameworks structuring partner-style engagements as a distinct third path.	+59dnext review
Holding	AM-027 · pub 24 Apr 2026 · rev 24 Apr 2026 Claim scoped to enterprise agentic AI business cases specifically (not enterprise SaaS generally). 60-day review cadence. Watches: (1) studies showing single-scenario NPVs produce outcomes equivalent to three-scenario, (2) aggregate post-18-month audits reordering the anti-pattern ranking (e.g., compliance understatement dominant over vendor-TCO framing), (3) regulatory changes (EU AI Act review, NIST AI RMF updates) that materially shift compliance-cost dynamics.	+59dnext review
Holding	AM-026 · pub 24 Apr 2026 · rev 24 Apr 2026 Claim scoped to enterprise agentic AI procurement specifically (not enterprise SaaS generally). 60-day review cadence. Watches: (a) anonymised procurement-committee case studies showing equivalent outcomes from generic RFPs, (b) vendor self-disclosure movements that obviate the RFP artifact, (c) regulatory procurement frameworks (EU AI Act Article 68 public-sector procurement) converging on similar dimensions.	+59dnext review
Holding	AM-025 · pub 24 Apr 2026 · rev 24 Apr 2026 Based on April 2026 corpus review of published governance-framework deployments + post-cutover analysis of the 88% failure rate (Stanford DEL ACA-2026-003), the 28% I&O pay-off rate (Gartner ANA-2026-002), and the 40% projected cancellation rate (Gartner ANA-2026-001). 60-day review cadence with explicit watches on (a) cross-enterprise studies testing dimensional scoring's predictive power, (b) analyst firms adopting similar instrumented-dimension models, (c) regulatory frameworks evolving to score deployment quality vs only classify risk tier.	+59dnext review
Holding	AM-023 · pub 23 Aug 2025 · rev 19 Apr 2026 Based on Google's 10 Apr 2026 rollout (8 markets, 8 partner platforms), Semrush + ppc.land + WinBuzzer coverage, the OpenTable/Reserve-with-Google integration pattern. Review cadence is 60 days with explicit watch on whether a second vertical agentic-search rollout lands before end-2026.	+54dnext review
Holding	AM-024 · pub 20 Apr 2026 · rev 20 Apr 2026 Based on 2025-2026 observation of vendor-claim → analyst-note → trade-press → CIO-deck citation chains. Stanford DEL 12/88 bimodal + Gartner 7 Apr 2026 28% I&O pay-off as anchoring evidence. 60-day review cadence with explicit watches on (a) third-party verification infrastructure emerging, (b) RFPs requiring citation-review schedules, (c) our own archive's Weakened-verdict rate.	+55dnext review
Holding	AM-018 · pub 19 Jul 2025 · rev 19 Apr 2026 Based on Stanford DEL 2026 bimodal distribution (12%/88%), Gartner Q1 2026 28% pay-off rate, OneReach 2026 171% average, Futurum 71% operational median vs 40% high-automation. Anthropic AP-processing + Salesforce tier-1 support + Microsoft Copilot-Dynamics as back-office case anchors. 60-day review for counter-evidence watch.	+54dnext review
Holding	AM-017 · pub 19 Jul 2025 · rev 19 Apr 2026 Based on 2025-2026 public-case distribution: Salesforce/Microsoft/Google following redeployment-first pattern with positive signals, IBM-style replacement-first showing adoption drag. Stanford DEL 2026 + Gartner Q1 2026 as analytical anchors. 60-day review cadence because workforce-transition frames can shift quickly with any major public reversal.	+54dnext review
Holding	AM-013 · pub 19 Apr 2026 · rev 19 Apr 2026 60-day cadence because the Gartner Q2 I&O update lands inside the window. Secondary interpretation (that Q1 governance frameworks are shaped by EU AI Act compliance requirements first and threat-model completeness second) is reviewable alongside the primary claim.	+54dnext review
Holding	AM-003 · pub 19 Apr 2026 · rev 19 Apr 2026 Claim created at publish; review in 30 days — pricing-tier claims are highly time-sensitive. Verify $200/month Pro tier availability and Claude Opus comparison pricing monthly.	+24dnext review
Holding	AM-002 · pub 19 Apr 2026 · rev 19 Apr 2026 Claim created at publish; review in 60 days. Re-verify Carnegie Mellon agent-completion benchmark + IDC $3.50 ROI number against next round of publications.	+54dnext review
Holding	AM-001 · pub 19 Apr 2026 · rev 19 Apr 2026 Claim created at publish; review in 60 days. BCG + McKinsey 2024-2025 data; re-verify 70% people-process split against Q4 2026 McKinsey MGI update.	+54dnext review
Holding	AM-021 · pub 16 Aug 2025 · rev 19 Apr 2026 Based on Gravitex 87%/27% split, LuckiWi's 82% of Fortune 100 using Six Sigma, Gartner's 7 Apr 2026 finding that 57% of failed I&O deployments cited 'too much too fast'. Claim reframes the causal arrow: the pre-built measurement environment is what matters, Six Sigma is one path that produces it.	+54dnext review
Partial	AM-015 · pub 1 Aug 2025 · rev 19 Apr 2026 Backfilled claim. Body predates current editorial standard; spine holds, per-claim fact-check deferred to first review cycle.	+54dnext review
Holding	AM-022 · pub 06 Aug 2025 · rev 19 Apr 2026 Based on Stanford DEL's 2026 playbook (51 deployments), OneReach 171% average + Futurum 71% median productivity vs 40% high-automation, Gartner's 28%-pay-off finding on the 88% side. Watches for benchmarks that show the distribution tightening around the mean or counter-evidence of IT-led 300%+ deployments.	+54dnext review
Holding	AM-019 · pub 01 Aug 2025 · rev 19 Apr 2026 Based on the 2026 case-study spread (47-facility global manufacturer at 42% downtime reduction, pharma at 30% in six months, industry median 25-30%). Watching for a parallel-log deployment clearing 30% sustained over 12 months.	+54dnext review

Each claim links to the piece it came from and the review cadence Peter set when publishing it. How this works →

Every claim this publication has made, and whether it still holds.

The ~73% of enterprise agentic-AI projects that fail share three structural gaps — no named owner, scope drift, and missing agent-level MTTD — and the 27% that succeed cluster around the inverse.

Agent-mediated network management reduces unplanned firewall-change incident costs only when the agent's action log feeds into the same change-management audit trail human changes use — not as a parallel system.

Q1 2026 is the quarter enterprise agentic-AI crossed three thresholds simultaneously — the first at-scale in-the-wild exploits, the first vendor-shipped governance infrastructure, and the first hard ROI data — and programmes designed around only one will not make the 28% that pay off.

GPT-5 Pro's tiered-subscription model forces enterprises to classify problems by computational difficulty — $200/month premium routing only repays for the top decile of 'very hard' queries.

Agentic AI's $3.50-per-dollar average return masks a 70% task-failure rate on the Carnegie Mellon benchmark; only narrowly-scoped deployments clear the reality bar.

70% of AI-implementation failure is people and process, not technology — cultural transformation is the strongest predictor of AI ROI at the 2024-2025 maturity stage.

An agentic-AI Center of Excellence justifies its overhead only after the organisation has three production agents running; before that, it over-governs an experimental footprint.

Manufacturing deployments hitting the 30% unplanned-downtime-reduction benchmark share one architectural pattern — the agent writes its actions into the plant's existing MES/CMMS audit trail rather than a parallel log. Parallel-log deployments underperform by a factor of 2-3.