THE ALLAZO RESEARCH SERIES
25 Research Papers. Every Claim Traceable. Every Finding Audited.
The Allazo research series is the empirical foundation of the Portfolio Intelligence Framework™. Built on the Program Health Dataset — 6,063 status entries, 60,500+ data points, and 710,000+ words of programme narrative across 173 projects in a Tier 1 capital markets division — every paper traces its claims to specific data, specific denominators, and specific confidence levels.
This is not thought leadership by assertion. It is empirical research with disclosed methodology, reproducible findings, and a transparent audit trail. 34 of 34 statistics independently confirmed. Zero discrepancies.
Two foundational papers are available for immediate download. The remaining 23 papers and supporting documentation are available on request — typically within one business day.
START HERE · DIRECT DOWNLOAD
Two Papers to Open the Series
These two papers frame the research programme. Read them first to understand the methodology, the dataset, and the five core findings that shape the rest of the series.
WP-A · PRACTITIONER ENTRY POINT
The Allazo Programme Intelligence Framework
The framework overview paper. Introduces the five governance protocols derived from three years of data: Evidence-Backed Green, the False Recovery Hold, Tipping Point Escalation, the Delivery Clock, and Seasonal Uplift. Each protocol traces to a specific statistical finding, with direct application to consent-order, M&A integration, and regulatory mandate programmes.
RECOMMENDED FOR: CROs, consent-order sponsors, PMO leads · 5 pages
WP-0 · SERIES ENTRY POINT
The State of Programme Reporting: Industry Baseline
Why the industry has not measured what RAG status actually means. Positions the Allazo research against existing programme management literature (Standish CHAOS, Flyvbjerg megaproject, BCG PMO studies), explains what makes this research different — sequential, reproducible, signal-focused — and provides a reading map for navigating all 25 papers by audience and use case.
RECOMMENDED FOR: All readers new to the series · 5 pages
ADDITIONAL PAPERS · AVAILABLE ON REQUEST
The Remaining 23 White Papers · Plus Supporting Documents
The remaining research papers, methodology documents, and datasets are available by direct request. Click any REQUEST PDF button below and your email client will open with a pre-populated message — we respond typically within one business day with the paper attached.
If your email client does not open, simply email thomas@allazomanagement.com with the paper reference in the subject line.
CORE FINDINGS
The Five Patterns That Redefine Program Governance
These five papers form the statistical backbone of the Allazo Framework. Each identifies a structural pattern in program reporting that standard governance models miss.
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The Phantom Green
27.8% of Green entries are immediately followed by Amber or Red. Documents the Phantom Green mechanism across all seven programme categories and three years of data.
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False Recovery
37.5% of Amber-to-Green recoveries reverse within two reporting periods. 95% CI: 33.3%–41.8%. Distinguishes genuine from false recovery patterns, introduces the Two-Period Hold protocol.
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The Delivery Clock
25.5% of Red events had no prior Amber warning. Median window: 14 periods. Separates warned from unwarned deterioration; introduces the Delivery Clock protocol.
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Program DNA
100% of Red-start projects hit Red again. Green-start: 62.3% lifetime Green rate. Amber-start: 45.5%. Starting RAG state determines lifetime reporting health.
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The Tipping Point
Amber streaks of 3+ are 3.32x more likely to reach Red (80.8% vs 24.3%). Statistically significant. Introduces the Tipping Point escalation protocol.
FROM FINDINGS TO ENGAGEMENT
Every protocol derived from these findings is implementable.
If your programme carries any of the patterns documented here — Phantom Green, False Recovery, Amber streaks beyond three periods, or delivery clocks running short — the protocols map directly to specific governance changes we implement on live consent-order, M&A, and mandate programmes.
BOOK A 15-MINUTE INTRODUCTION →GOVERNANCE PROTOCOLS
What to Do About the Findings
Five governance protocols that derive from the core findings, plus their operational implementation guidance.
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Evidence-Backed Green
Replaces assessment-based Green declarations with verifiable, milestone-anchored evidence. Addresses the 27.8% Phantom Green rate.
REQUEST PDF →WP-H
The Two-Period Hold
Amber-to-Green recovery must hold two consecutive periods before confirmed. Catches the 37.5% of reversals.
REQUEST PDF →WP-J
Evidence-Backed Green Checklist
The operational checklist. Three required elements for a confirmed Green declaration.
REQUEST PDF →WP-K
Data Governance
Standards for recording, retention, and integrity across the reporting lifecycle.
REQUEST PDF →WP-M
PMO Architecture
Five evidence-derived PMO design principles for consent-order, M&A, and mandate programmes.
REQUEST PDF →WP-G
The No-Warning Red
Examines the 25.5% of Red events that occur directly from Green. Three distinct mechanisms identified.
REQUEST PDF →TECHNOLOGY DELIVERY
Calibration on the Tier 1 Technology Portfolio
Three papers calibrated on 2,275 status entries across 115 projects and twenty technology sub-categories at a Tier 1 institution. Cloud migration, vendor platform migration, target operating model rollout, and the highest-risk transformation programmes — measured, ranked, and read for the linguistic signatures that precede deterioration.
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Cloud Migration Delivery Risk
Cloud migration reaches Red at 41.7% — 3.2× the technology baseline. The highest-risk delivery category in the technology portfolio, with a distinctive linguistic signature that becomes visible in commentary one to two cycles before the formal status turns.
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Top 10 Root Causes of Technology Programme Delivery Failure
Ten causes account for 60% of all Amber and Red status entries. A 17-cause taxonomy across 951 Amber+Red entries. Six escalators (Red skew ≥ 1.5×) versus six resolvers (Red skew < 1.0×) — the Red-skew gradient that maps where a bank’s existing delivery machinery is sufficient and where it is not.
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The Sustainability Paradox
27 of 27 substantial transformation programmes in the highest-risk Tier 1 categories failed to sustain healthy delivery at scale. Every one oscillated or deteriorated. Sustained-Green is a property of small, short-scope work — not of well-run large programmes. The realistic large-programme success pattern is different and identifiable.
ADVANCED EVIDENCE
Cross-Finding Synthesis and Methodological Depth
Statistical extensions, text signal analysis, counterfactual simulation, and cross-finding synthesis.
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Programme Intelligence Synthesis
Cross-finding synthesis showing how the five patterns interact and compound.
REQUEST PDF →WP-I
The Seasonal Pattern
September Red rate 12.3%. Q2 and Q3 show elevated Red rates. Seasonal governance guidance.
REQUEST PDF →WP-N
Text Signal Study
Why structural governance beats NLP, and why reporting architecture matters more than narrative quality.
REQUEST PDF →WP-P
Counterfactual Simulation
Monte Carlo simulation modelling programme trajectories under different governance intervention scenarios.
REQUEST PDF →WP-Q
The Null Finding
Hypotheses tested that did not replicate, documented for methodological transparency.
REQUEST PDF →WP-R
Advanced Analytics
Post-Red hazard analysis — 2.37x re-entry risk after recovery declaration.
REQUEST PDF →WP-S
Portfolio Architecture
16% of projects drive 80% of programme Red time. Concentration risk analysis; 36.9% cascade rate across 49 multi-project programmes.
REQUEST PDF →Each paper maps explicitly to a data denominator, a confidence interval, and a governance protocol.
MATHEMATICAL MODELLING & SCOPE
The Formal Foundation
Continuous-time Markov chain modelling, generalisation scope, and the unified governance defect thesis. For specialist readers.
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Mathematical Modelling (CTMC)
Continuous-time Markov chain model of portfolio health dynamics. R0 = 0.60 — the system is sub-critical. Governance manages shocks, not entropy.
REQUEST PDF →REQUEST EXECUTIVE BRIEF →
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Generalisation & Scope
What a single institution’s data can and cannot establish. Honest boundaries on generalisation and an invitation to multi-institution replication.
REQUEST PDF →WP-V
The Unified Governance Defect
Cross-finding correlation analysis. Four empirical findings converge on one structural condition.
REQUEST PDF →SUPPORTING DOCUMENTS
Methodology & Reference Materials
Research Series Reader Guide
Navigation guide covering all 25 white papers by audience type.
REQUEST →Methodology & Reproducibility Statement
Complete methodology, audit script, and 34-statistic reproducibility verification.
REQUEST →Table A1 — Programme Category Composition
Anonymised dataset decomposition by programme category.
REQUEST →Master Reference v4
Canonical statistical reference document — the single source of truth for every figure in the series.
REQUEST →STAY INFORMED
New Research Drops Quarterly.
The Allazo Monthly Intelligence Briefing covers new research publications, active enforcement signals, and what our findings suggest about current governance response.
BANKS · BROKER-DEALERS · INSURERS · FIRST MONDAY OF THE MONTH