diff --git a/rag-agentic-dashboard/public/veridical-week9.html b/rag-agentic-dashboard/public/veridical-week9.html new file mode 100644 index 00000000..013f5ff9 --- /dev/null +++ b/rag-agentic-dashboard/public/veridical-week9.html @@ -0,0 +1,316 @@ + + + + + +Project Veridical — Week 9 of 12 Executive Status Report + + + +
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Project Veridical — Week 9 of 12

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Executive Status Report · Legal Multi-Hop Synthesis Live, Third Risk Closed, Go/No-Go Gate Ready
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+GREEN +MULTI-HOP LIVE +VR-006 CLOSED +GATE READY +
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+VRDCL-ESR-009 +Mar 24 – 30, 2026 +Classification: CONFIDENTIAL +Next: Week 10 — GO/NO-GO GATE (Apr 7) +
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Legal Multi-Hop Synthesis — From Retrieval to Reasoning

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Two-stage cross-document reasoning pipeline deployed: top-20 retrieval → GNN 2-hop expansion → Cohere Rerank v3 re-scoring → LLM synthesis with source attribution. Legal accuracy lifted to 95.1% (+1.7 pp). Saves 4.2 hours per complex legal query. VR-006 formally closed — third programme risk closure. P95 latency 0.98s — below 1s for the first time. 540 users across 7 departments.

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✅ Week 10 Go/No-Go Gate — All Criteria Met

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93.8%
Accuracy
≥92.0% ✓
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0.98s
Latency P95
≤1.50s ✓
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99.98%
Uptime
≥99.90% ✓
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$0.018
Cost/Query
≤$0.035 ✓
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Recommendation: APPROVE FULL PRODUCTION RELEASE
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M Milestones Completed
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🧠Legal multi-hop synthesis live — 2-hop cross-document reasoning, Legal accuracy 95.1% (+1.7 pp), $214.5K/year time saving
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✔VR-006 formally CLOSED — Third risk closure; blended P95 0.98s, 19% below regression peak. 3 of 6 risks now closed.
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👥HR department onboarded — 38 users (target: 35), 7th active department, 91.4% baseline accuracy
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🔒Provenance chain v2 deployed — Four-layer audit trail: source hash, reranker confidence, LLM confidence, cache metadata
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⚙Cache threshold A/B validated — 0.96 threshold: 69% hit rate (+5 pp), <0.1 pp accuracy impact
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1 Programme Health & Executive Summary
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Week 9 completed the final major feature sprint before the go/no-go gate. Legal multi-hop synthesis enables cross-document reasoning, saving an estimated 4.2 hours per complex query. VR-006 closed. HR onboarded as the 7th department. Provenance chain v2 satisfies EU AI Act Article 52. The programme enters Week 10 with all gate criteria met or exceeded.

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Budget: $918K / $1.42M (64.6%)
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+$0 +▲ 75% schedule +$1.42M +
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1.16
CPI
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1.06
SPI
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$1.22M
EAC
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INFRASTRUCTURE
96%
All milestones complete
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ML PIPELINE
91%
Multi-hop live
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GOVERNANCE
82%
ISO 42001 at 91%
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ADOPTION
84%
540 users, 7 depts
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2 Key Metrics
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Retrieval Accuracy (Golden Set)
93.8%
Target: ≥92.0% · 6 domains tracked · HR baseline 91.4%
▲ +0.3 pp WoW
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Query Latency (P95)
0.98s
Target: ≤1.50s · Stretch: ≤1.00s MET
▼ -0.05s WoW · BELOW 1s FIRST TIME
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Token Cost / Query
$0.018
Target: ≤$0.035 · Stretch: ≤$0.020 MET
▼ -$0.001 WoW
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System Uptime
99.98%
Target: ≥99.90% · 8 min planned downtime
▲ +0.01 pp WoW
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Document Corpus
1.31M
+80K WoW · HR corpus (28K) ingested
▲ +80K WoW
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Pilot Users
540
7 departments · HR onboarded (+38)
▲ +38 WoW · Finance CSAT: 4.6/5.0
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🧠 Legal Multi-Hop Synthesis — Feature Deep-Dive
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+Top-20 Retrieval→ +GNN 2-Hop Expansion→ +Reranker Re-Score (65 passages)→ +LLM Synthesis + Attribution +
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95.1%
Legal Accuracy
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1.82s
Multi-Hop P95
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4.2h
Time Saved / Query
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$214.5K
Annual Saving
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+Accuracy by query type: Multi-clause contracts +2.8 pp · Regulatory cross-ref +1.4 pp · Precedent chains +1.1 pp · Standard legal queries unaffected (+0.2 pp) +
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DomainAccuracyTargetΔ WoWStatusNote
Legal
95.1%		≥93%+1.7 ppMULTI-HOPCross-document reasoning live
Compliance
94.0%		≥93%+0.2 ppON TARGETSteady; multi-hop candidate
Engineering
93.7%		≥93%+0.2 ppON TARGETAPI docs strongest at 95.3%
Finance
94.4%		≥93%+0.2 ppABOVE TARGETCSAT 4.6/5.0
Operations
92.9%		≥92%+0.3 ppON TARGET4th week active
HR
91.4%		≥90%NEWBASELINEFirst week; tuning planned W11
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3 Risk Management & Governance
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0.04
REI (Programme Lowest)
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3
Risks Closed
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3
Active (all LOW)
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VR-002 CLOSED W60
Accuracy plateau eliminated by reranker (+4.3 pp)
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VR-001 CLOSED W80
Vendor lock-in: 3 providers validated, SOC 2 evidence filed
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VR-006 CLOSED W90
Reranker latency regression: blended P95 0.98s, 19% below peak. Semantic cache fully offset. SOC 2 evidence filed.
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VR-003 — Pinecone Cost2.5 (was 3.6)
LOW 88% mitigated. Serverless tier eval complete (+35% savings). Migration Week 11.
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VR-004 — EU AI Act2.8 (was 3.84)
LOW 78% mitigated. ISO 42001 at 91%. Provenance v2 satisfies Article 52. SOC 2 evidence sprint Weeks 10–11.
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VR-005 — Query Skew1.6 (was 2.5)
LOW 82% mitigated. 7 departments active. No domain >28% of volume. Healthy distribution.
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4 Next Steps — Week 10 Go/No-Go & Beyond
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P0
Golden Set accuracy gate review — confirm ≥92% (currently 93.8%)
Owner: VP AI Platform + CTO · Apr 7 · All 4 criteria met
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P0
Formal go/no-go decision for full production release
Owner: Executive Steering Committee · Apr 7 · Recommendation: APPROVE
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P1
Deploy cache threshold 0.96 to 100% of production traffic
Owner: Staff AI Engineer · Apr 9 · A/B validated, ready for deployment
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P1
SOC 2 Type II evidence compilation sprint
Owner: Director AI Governance + CISO · Apr 11 · Currently 68% collected
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P1
User training to 90% across all departments
Owner: Product Manager · Apr 11 · Currently 82%
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P2
Advance ISO 42001 from 91% to 93%
Owner: Director AI Governance · Apr 11
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Decisions Required
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Go/No-Go: Approve full production release
Owner: Executive Steering Committee · Apr 7 · All 4 criteria met/exceeded · Recommendation: APPROVE
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Confirm production cache threshold at 0.96
Owner: VP AI Platform · Apr 7 · A/B validated; +5 pp hit rate, <0.1 pp accuracy impact
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Strategic Look-Ahead
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Week 10Go/no-go gate (APPROVE expected); cache 0.96 deployment; SOC 2 sprint; final benchmarking
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Week 11Production hardening; all-department rollout prep; Pinecone serverless migration; training 100%
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Week 12Full production release; SOC 2 Type II evidence submission; programme retrospective; BAU handoff
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5 Visionary Theme — The Knowledge Graph Dividend
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From Retrieval to Reasoning: Cross-Document Synthesis Creates Compound Value

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Legal multi-hop synthesis marks the transition from document retrieval to document reasoning. Traditional RAG answers “What does this document say about X?” Multi-hop answers “What is the relationship between Document A’s position on X and Document B’s position on Y, and what does that imply for Z?”

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General Counsel: “This changes how we approach contract review. The cross-reference capability is genuinely novel.”
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Network Effect: Each document added to the knowledge graph increases every existing document’s value by creating new reasoning paths. At 1.31M documents with average degree 4.2, the graph contains ~23M potential 2-hop reasoning paths — a compound knowledge asset that grows super-linearly with corpus size.

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Competitive Moat: Replication requires (1) mature knowledge graph with accurate edges, (2) trained GNN, (3) cross-boundary reranker. Estimated 8–12 months and $1.8–$2.4M for a competitor to reach equivalent capability.

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Board Recommendations
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+1. Extend multi-hop to Compliance (Week 11) and Engineering (Week 12)
+2. Position cross-document reasoning as centrepiece of enterprise platform GTM
+3. Commission customer advisory board for multi-hop use case feedback
+4. Allocate $80K Q2 for dedicated Knowledge Graph Engineer +
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+VRDCL-ESR-009 · Project Veridical — Week 9 of 12 · CONFIDENTIAL — Executive Steering Committee
+Generated by RAG Agentic AI Engine · Mar 24–30, 2026 · Next: Week 10 Go/No-Go Gate (Apr 7) +
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+ + + + diff --git a/rag-agentic-dashboard/server.js b/rag-agentic-dashboard/server.js index 344faa5c..8bca8522 100644 --- a/rag-agentic-dashboard/server.js +++ b/rag-agentic-dashboard/server.js @@ -5109,6 +5109,429 @@ app.get('/api/veridical-week8/cache', (_, res) => res.json({ section: VERIDICAL_ app.get('/api/veridical-week8/visionary', (_, res) => res.json({ section: VERIDICAL_WEEK8.sections.visionaryTheme })); app.get('/api/veridical-week8/domains', (_, res) => res.json({ section: VERIDICAL_WEEK8.sections.keyMetrics.dashboardMetrics[0].domainBreakdown })); +// ══════════════════════════════════════════════════════════════════════════════ +// PROJECT VERIDICAL — WEEK 9 EXECUTIVE STATUS REPORT +// Legal Multi-Hop Synthesis & Third Risk Closure +// ══════════════════════════════════════════════════════════════════════════════ + +const VERIDICAL_WEEK9 = { + meta: { + docRef: 'VRDCL-ESR-009', + title: 'Project Veridical — Week 9 of 12 Executive Status Report', + subtitle: 'Legal Multi-Hop Synthesis Live, Third Risk Closed, HR Department Onboarded', + classification: 'CONFIDENTIAL — Executive Steering Committee', + version: '1.0.0', + date: '2026-03-31', + reportingPeriod: 'Mar 24 – Mar 30, 2026', + week: 9, + totalWeeks: 12, + programme: 'Project Veridical — Enterprise RAG Implementation', + sponsor: 'CTO Office', + reportAuthor: 'RAG Agentic AI Engine (autonomous generation)', + distributionList: ['CTO', 'VP Engineering', 'VP AI Platform', 'CISO', 'General Counsel', 'CFO', 'Director AI Governance'], + nextReport: '2026-04-07 (Week 10 — Go/No-Go Gate)', + documentHistory: [ + { version: '1.0.0', date: '2026-03-31', author: 'Agentic Engine', changes: 'Initial Week 9 report — legal multi-hop synthesis, VR-006 closure, HR onboarding, provenance chain v2' } + ] + }, + + strategicReasoning: { + agentId: 'veridical-week9-strategic-analyst', + generatedAt: new Date().toISOString(), + reasoningChain: [ + 'Week 9 was the final major feature sprint before the Week 10 go/no-go gate — deploying legal multi-hop synthesis, the highest-value remaining capability.', + 'Legal multi-hop synthesis enables cross-document reasoning for complex legal queries (multi-clause contracts, regulatory cross-references, precedent chains), lifting Legal domain accuracy from 93.4% to 95.1% (+1.7 pp).', + 'The multi-hop architecture uses a two-stage retrieval pipeline: initial top-20 retrieval → GNN 2-hop relationship expansion → Cohere Rerank v3 re-scoring → LLM synthesis with source attribution. Token consumption for multi-hop queries averages 2.4× standard queries.', + 'VR-006 (Reranker Latency Regression) was formally CLOSED by the Executive Steering Committee — the third risk closure of the programme. Blended P95 latency of 0.98s demonstrates full regression offset.', + 'HR department onboarded with 38 users (exceeding the 35 target), becoming the seventh active department. HR golden set (200 queries) established with 91.4% baseline accuracy.', + 'Provenance chain v2 deployed: every query now carries a four-layer audit trail — source document provenance (Merkle hash), passage-level reranker confidence score, LLM generation confidence, and cache-hit metadata. This satisfies EU AI Act Article 52 transparency requirements.', + 'Semantic cache threshold A/B test (0.97 vs 0.96) completed: 0.96 threshold increased hit rate from 64% to 69% with only 0.08 pp accuracy degradation — below the 0.1 pp tolerance. Recommended for production deployment.', + 'ISO 42001 gap assessment advanced from 87% to 91% (exceeding the 90% target), with A.9.2 Performance Evaluation lifted from 45% to 72%.', + 'Budget at $918K of $1.42M (64.6% consumed at 75% schedule completion). CPI improved to 1.16, SPI steady at 1.06. EAC of $1.22M projects a $200K underrun.', + 'The programme enters the Week 10 go/no-go gate in the strongest possible position: all accuracy targets exceeded, latency below 1s (blended), 3 of 6 original risks closed, 7 departments active, and budget projecting a 14% underrun.' + ], + confidence: 0.96, + keyInsight: 'Legal multi-hop synthesis is the first feature that makes the RAG system qualitatively different from traditional search — it answers questions that previously required a lawyer to manually cross-reference 3-5 documents, saving an estimated 4.2 hours per complex legal query.', + strategicPosture: 'Go/no-go gate preparation complete. All primary acceptance criteria met or exceeded. Programme recommends FULL PRODUCTION RELEASE approval at Week 10 review.' + }, + + sections: { + projectHealth: { + sectionNumber: 1, + sectionTitle: 'Programme Health & Executive Summary', + overallStatus: 'GREEN', + statusLabel: 'On Track — Go/No-Go Gate Ready', + executiveSummary: 'Week 9 completed the final major feature sprint: Legal multi-hop synthesis deployed to production, enabling cross-document reasoning that lifts Legal accuracy to 95.1% and saves an estimated 4.2 hours per complex legal query. VR-006 (Reranker Latency Regression) formally closed — the third programme risk closure. HR department onboarded with 38 users, bringing the total to 540 across 7 departments. Provenance chain v2 deployed with four-layer audit trail satisfying EU AI Act Article 52. Cache threshold A/B test validates 0.96 threshold for production (69% hit rate, +5 pp). ISO 42001 at 91%. Budget at $918K of $1.42M (64.6% at 75% schedule), CPI 1.16, SPI 1.06, EAC $1.22M. The programme enters the Week 10 go/no-go gate with all acceptance criteria met or exceeded.', + dailyProductionQueries: 21400, + dailyProductionQueriesWoW: '+2,200 (+11.5%)', + unplannedDowntime: '0 minutes', + plannedDowntime: '8 minutes (provenance chain v2 schema migration, 02:00–02:08 UTC Mar 27)', + milestonesCompleted: [ + 'Legal multi-hop synthesis deployed to production — 2-hop cross-document reasoning, Legal accuracy 95.1%', + 'VR-006 (Reranker Latency Regression) formally CLOSED — third programme risk closure', + 'HR department onboarded: 38 users (target: 35), 7th active department', + 'Provenance chain v2: four-layer audit trail (source hash, reranker confidence, LLM confidence, cache metadata)', + 'Cache threshold A/B test: 0.96 validated (69% hit rate, +5 pp, <0.1 pp accuracy impact)' + ], + budget: { + total: '$1.42M', + spent: '$918K', + percentConsumed: '64.6%', + scheduleCompletion: '75.0%', + costPerformanceIndex: 1.16, + schedulePerformanceIndex: 1.06, + estimateAtCompletion: '$1.22M', + varianceAtCompletion: '$200K under budget', + weeklyBurn: '$94K', + burnTrend: 'Decreasing', + commentary: 'CPI improved from 1.15 to 1.16 as semantic cache savings fully materialised and the VR-006 closure eliminated residual mitigation spend. Weekly burn decreased from $96K to $94K despite the multi-hop synthesis deployment adding $8K incremental budget. EAC of $1.22M projects a $200K underrun — the largest projected surplus of the programme. The cache threshold optimisation (0.97 → 0.96) will contribute an additional ~$400/month in token savings starting Week 10.' + }, + tracks: { + infrastructure: { status: 'GREEN', completion: 96, label: 'All infrastructure milestones complete; cache optimised; provenance v2 live' }, + mlPipeline: { status: 'GREEN', completion: 91, label: 'Multi-hop synthesis live; all domains tuned; Active Learning cycle 9 delivered' }, + governance: { status: 'GREEN', completion: 82, label: 'ISO 42001 at 91%; SOC 2 evidence 68% collected; provenance v2 satisfies Art. 52' }, + userAdoption: { status: 'GREEN', completion: 84, label: '540 pilot users across 7 departments; HR onboarded; training 82% complete' } + } + }, + + keyMetrics: { + sectionNumber: 2, + sectionTitle: 'Key Metrics', + dashboardMetrics: [ + { + name: 'Retrieval Accuracy (Golden Set)', + value: '93.8%', + target: '≥92.0% (floor)', + threshold: 'Domain-specific targets all met', + status: 'GREEN — ALL DOMAINS EXCEED TARGETS', + trend: 'improving', + trendValue: '+0.3 pp WoW', + weekOverWeek: [78.2, 82.6, 85.3, 87.4, 88.2, 92.5, 93.2, 93.5, 93.8], + domainBreakdown: [ + { domain: 'Legal', accuracy: '95.1%', target: '≥93%', delta: '+1.7 pp WoW', status: 'ABOVE TARGET — MULTI-HOP LIVE', commentary: 'Multi-hop synthesis delivered the largest single-domain accuracy lift of the programme. Multi-clause contract queries improved +2.8 pp, regulatory cross-reference queries +1.4 pp, precedent chain queries +1.1 pp. The two-stage retrieval pipeline resolves ambiguities that single-hop retrieval cannot.' }, + { domain: 'Compliance', accuracy: '94.0%', target: '≥93%', delta: '+0.2 pp WoW', status: 'ON TARGET', commentary: 'Steady improvement from expanded corpus and cache warm-up. Compliance queries benefit from multi-hop synthesis when cross-referencing regulatory frameworks.' }, + { domain: 'Engineering', accuracy: '93.7%', target: '≥93%', delta: '+0.2 pp WoW', status: 'ON TARGET', commentary: 'Stable post-tuning. API documentation retrieval accuracy remains the strongest sub-domain at 95.3%.' }, + { domain: 'Finance', accuracy: '94.4%', target: '≥93%', delta: '+0.2 pp WoW', status: 'ABOVE TARGET', commentary: 'Post-tuning stability maintained. Year-end financial reporting queries performing well with semantic cache serving 63% of repeat patterns.' }, + { domain: 'Operations', accuracy: '92.9%', target: '≥92%', delta: '+0.3 pp WoW', status: 'ON TARGET', commentary: 'Fourth week of operations usage. Process documentation retrieval steadily improving as the Active Learning loop incorporates operations-specific annotations.' }, + { domain: 'HR', accuracy: '91.4%', target: '≥90% (baseline)', delta: 'NEW', status: 'BASELINE ESTABLISHED', commentary: 'First full week of HR usage. 200-query golden set established. Policy document retrieval at 92.8%, benefits queries at 90.1%, training material queries at 91.2%. Domain-specific tuning planned for Week 11.' } + ], + commentary: 'Aggregate accuracy improved +0.3 pp WoW (93.5% → 93.8%) driven by the Legal multi-hop synthesis lift (+1.7 pp on Legal, which is weighted ~18% of the golden set). HR department baseline established at 91.4% (exceeding the 90% first-week target). The programme now tracks accuracy across 6 production domains, with all meeting or exceeding targets. The aggregate golden set has expanded from 1,000 to 1,200 queries with the addition of the HR evaluation set.' + }, + { + name: 'Query Latency (P95)', + value: '0.98s', + target: '≤1.50s', + threshold: '≤1.00s (stretch)', + status: 'GREEN — BELOW 1s FOR FIRST TIME', + trend: 'improving', + trendValue: '-0.05s WoW', + weekOverWeek: [1.82, 1.54, 1.32, 1.18, 1.14, 1.21, 1.18, 1.03, 0.98], + cacheMetrics: { + cacheHitRate: '69%', + cacheHitP95: '0.86s', + cacheMissP95: '1.25s', + blendedP95: '0.98s', + cacheEntries: 168000, + similarityThreshold: 0.96, + previousThreshold: 0.97, + thresholdChangeImpact: '+5 pp hit rate, -0.08 pp accuracy (within tolerance)', + multiHopP95: '1.82s', + multiHopPercentage: '8% of legal queries' + }, + commentary: 'P95 latency broke below 1.0s for the first time (1.03s → 0.98s, -4.9% WoW) as the cache threshold A/B test validated the 0.96 threshold (deployed Mar 28). Cache hit rate improved from 64% to 69%. Multi-hop synthesis queries run at 1.82s P95 (2-hop GNN expansion + reranker re-scoring), but represent only 8% of legal queries and are excluded from the blended P95 as they are a distinct query class with a separate SLA (≤2.5s). Standard query blended P95 of 0.98s meets the ≤1.00s stretch target for the first time.' + }, + { + name: 'Token Cost per Query', + value: '$0.018', + target: '≤$0.035', + threshold: '≤$0.020 (stretch)', + status: 'GREEN — BELOW STRETCH TARGET', + trend: 'improving', + trendValue: '-$0.001 WoW', + weekOverWeek: [0.038, 0.031, 0.027, 0.023, 0.022, 0.024, 0.023, 0.019, 0.018], + costBreakdown: { + standardQueryCost: '$0.018/query (blended cache-hit + cache-miss)', + multiHopQueryCost: '$0.052/query (2.4× token consumption + GNN inference)', + blendedAllQueryCost: '$0.019/query (including multi-hop)', + monthlyLLMSpend: '$11,400 (at 21.4K queries/day, including multi-hop)', + projectedSaving: '$6,800/month vs pre-cache baseline', + multiHopBudgetImpact: '+$1,200/month (within $8K contingency allocation)' + }, + commentary: 'Standard query cost dropped to $0.018 (-5.3% WoW) as the improved cache threshold (0.96) increased hit rate to 69%. Multi-hop synthesis queries cost $0.052 per query due to the two-stage retrieval and extended LLM context window, but represent <2% of total query volume. Blended cost including multi-hop is $0.019. Monthly multi-hop budget impact of $1,200 is well within the $8K contingency allocation approved at Week 8. Net monthly saving of $6,800 vs pre-cache baseline.' + }, + { + name: 'System Uptime', + value: '99.98%', + target: '≥99.90%', + threshold: '≥99.95% (stretch)', + status: 'GREEN', + trend: 'improving', + trendValue: '+0.01 pp WoW', + weekOverWeek: [99.82, 99.88, 99.91, 99.94, 99.98, 99.96, 99.99, 99.97, 99.98], + downtimeLog: [ + { event: 'Provenance chain v2 schema migration', duration: '8 min', impact: 'Write-path paused; read queries served normally from cache', category: 'planned' } + ], + commentary: 'Uptime improved to 99.98% with only 8 minutes of planned downtime for the provenance chain v2 schema migration. The migration used a dual-write strategy: write-path paused for 8 minutes while the new audit trail columns were added; read queries served normally from cache throughout. Zero user-facing errors.' + }, + { + name: 'Document Corpus', + value: '1.31M', + target: '≥1.20M (achieved Week 8)', + status: 'GREEN', + trend: 'growing', + trendValue: '+80K WoW', + weekOverWeek: ['650K', '720K', '786K', '847K', '968K', '1.06M', '1.15M', '1.23M', '1.31M'], + commentary: 'Corpus grew to 1.31M (+80K WoW) with significant additions from HR (28K onboarding corpus) and Legal (18K multi-hop synthesis training corpus). Engineering remains the largest domain at 320K documents. Ingestion throughput sustained at 18,400 docs/hour. The semantic cache now indexes 168K documents (up from 142K), representing 89% of query traffic.' + }, + { + name: 'Pilot User Adoption', + value: '540', + target: '500 (achieved Week 7)', + status: 'GREEN', + trend: 'growing', + trendValue: '+38 WoW', + weekOverWeek: [142, 198, 234, 284, 361, 438, 502, 502, 540], + departmentBreakdown: [ + { department: 'Engineering', users: 156, change: '+0', status: 'Stable — full departmental coverage' }, + { department: 'Compliance', users: 98, change: '+0', status: 'Stable — 94% adoption rate' }, + { department: 'Legal', users: 89, change: '+2', status: 'Growing — multi-hop synthesis early adopters' }, + { department: 'Finance', users: 77, change: '+0', status: 'Stable — CSAT survey results: 4.6/5.0' }, + { department: 'Operations', users: 72, change: '+0', status: 'Stable — fourth week of active usage' }, + { department: 'Executive Office', users: 12, change: '+0', status: 'Pilot — dashboard access, positive feedback on executive summaries' }, + { department: 'HR', users: 38, change: '+38', status: 'NEW — onboarded Mar 26, exceeding 35-user target' } + ], + commentary: 'User count grew from 502 to 540 (+38) with the HR department onboarding. HR exceeded the 35-user target with 38 users enrolled on day one, driven by strong demand for policy document retrieval. Two additional Legal users onboarded as multi-hop synthesis early adopters. Finance CSAT survey returned 4.6/5.0 — the highest departmental satisfaction score of the programme. Training completion across all departments: 82% (target: 100% by Week 11).' + } + ], + multiHopSynthesis: { + sectionTitle: 'Legal Multi-Hop Synthesis — Feature Deep-Dive', + deploymentDate: '2026-03-26 14:00 UTC', + architecture: { + stage1: 'Initial retrieval: top-20 passages from vector store (standard pipeline)', + stage2: 'GNN 2-hop expansion: each passage expanded to related documents via CITES, SUPERSEDES, and REQUIRES_APPROVAL_FROM edges', + stage3: 'Cohere Rerank v3 re-scoring: expanded candidate set (avg 65 passages) re-ranked by relevance', + stage4: 'LLM synthesis: GPT-4o generates answer with per-passage source attribution and confidence scoring' + }, + performanceProfile: { + p95Latency: '1.82s (separate SLA: ≤2.5s)', + avgLatency: '1.45s', + tokenConsumption: '2.4× standard queries', + costPerQuery: '$0.052', + queriesPerDay: 340, + percentOfLegalQueries: '8%' + }, + accuracyImpact: { + legalOverall: '93.4% → 95.1% (+1.7 pp)', + multiClauseContracts: '88.2% → 91.0% (+2.8 pp)', + regulatoryCrossRef: '91.8% → 93.2% (+1.4 pp)', + precedentChains: '90.4% → 91.5% (+1.1 pp)', + standardLegalQueries: '93.4% → 93.6% (+0.2 pp, unaffected by multi-hop)' + }, + businessImpact: { + timeSavingPerQuery: '4.2 hours (estimated) for complex cross-reference queries', + annualisedTimeSaving: '1,430 hours (at 340 queries/day × ~1 complex query requiring multi-hop)', + costEquivalent: '$214,500/year (at $150/hour blended legal staff cost)', + userFeedback: 'General Counsel: "This changes how we approach contract review. The cross-reference capability is genuinely novel."' + } + } + }, + + criticalRisks: { + sectionNumber: 3, + sectionTitle: 'Risk Management & Governance', + riskExposureIndex: 0.04, + totalRisks: 6, + closedRisks: 3, + activeRisks: 3, + activeSeverityBreakdown: { critical: 0, high: 0, medium: 0, low: 3 }, + riskEvolution: 'REI improved from 0.06 to 0.04. VR-006 (Reranker Latency Regression) was formally CLOSED following the Executive Steering Committee review — blended P95 of 0.98s is 19% below the post-reranker 1.21s peak and now below 1.0s for the first time. This is the third risk closure of the programme (VR-002 at Week 6, VR-001 at Week 8, VR-006 at Week 9). Three active risks remain, all LOW severity with decreasing scores.', + closedRisksSummary: [ + { id: 'VR-002', title: 'Accuracy Plateau', closedWeek: 6, closedReason: 'Reranker delivered +4.3 pp lift', finalScore: 0 }, + { id: 'VR-001', title: 'Vendor Lock-in', closedWeek: 8, closedReason: '3 vendors validated, hot-swap operational, SOC 2 evidence filed', finalScore: 0 }, + { id: 'VR-006', title: 'Reranker Latency Regression', closedWeek: 9, closedReason: 'Blended P95 0.98s, 19% below regression peak (1.21s). Semantic cache fully offset the latency impact. SOC 2 evidence filed.', finalScore: 0 } + ], + risks: [ + { + id: 'VR-003', + title: 'Pinecone Cost Scaling', + severity: 'LOW', + likelihood: 10, + impact: 25, + score: 2.5, + previousScore: 3.6, + trend: 'decreasing', + status: 'MITIGATED — 88%', + owner: 'Sr. Director, Cloud Platform', + mitigation: 'Serverless tier evaluation completed: 35% additional cost reduction confirmed for long-tail vectors. Migration scheduled for Week 11. Combined quantisation + serverless savings: 69% reduction in annual Pinecone cost ($52K → $16K).', + nextAction: 'Execute serverless tier migration (Week 11)' + }, + { + id: 'VR-004', + title: 'EU AI Act Re-classification Risk', + severity: 'LOW', + likelihood: 10, + impact: 28, + score: 2.8, + previousScore: 3.84, + trend: 'decreasing', + status: 'MITIGATED — 78%', + owner: 'Director, AI Governance', + mitigation: 'ISO 42001 at 91% (exceeding 90% target). Provenance chain v2 deployed with four-layer audit trail satisfying Article 52. A.9.2 Performance Evaluation at 72% (up from 45%). SOC 2 evidence collection at 68%.', + nextAction: 'SOC 2 Type II evidence sprint in Weeks 10–11' + }, + { + id: 'VR-005', + title: 'Query Distribution Skew', + severity: 'LOW', + likelihood: 8, + impact: 20, + score: 1.6, + previousScore: 2.5, + trend: 'decreasing', + status: 'MITIGATED — 82%', + owner: 'Principal ML Engineer', + mitigation: 'Seven departments now active with healthy query distribution. HR onboarding added the seventh production domain. No single department exceeds 28% of query volume (Engineering). Cache hit-rate distribution (55–72%) shows balanced utilisation. Executive Office expanding usage to 3 dashboard views.', + nextAction: 'Monitor distribution stability through production rollout' + } + ] + }, + + nextSteps: { + sectionNumber: 4, + sectionTitle: 'Next Steps — Week 10 Go/No-Go Gate & Beyond', + weekTenObjectives: [ + { + priority: 'P0', + item: 'Golden Set accuracy gate review — confirm ≥92% threshold maintained (currently 93.8%)', + owner: 'VP AI Platform + CTO', + deadline: 'Apr 7', + status: 'Ready', + completion: 95, + gateStatus: 'All criteria met: accuracy 93.8% (≥92%), latency 0.98s (≤1.50s), uptime 99.98% (≥99.90%), cost $0.018 (≤$0.035)', + recommendation: 'APPROVE full production release' + }, + { + priority: 'P0', + item: 'Formal go/no-go decision for full production release', + owner: 'Executive Steering Committee', + deadline: 'Apr 7', + status: 'Scheduled', + completion: 0, + decisionFramework: 'Binary gate: all 4 primary criteria met → approve; any criterion failed → conditional approval with remediation plan', + stakeholders: 'CTO, VP Engineering, VP AI Platform, CISO, General Counsel, CFO' + }, + { + priority: 'P1', + item: 'Deploy cache threshold 0.96 to 100% of production traffic (currently A/B validated)', + owner: 'Staff AI Engineer', + deadline: 'Apr 9', + status: 'Ready', + completion: 90, + projectedImpact: 'Hit rate 69% → stable 69%; additional $400/month token saving' + }, + { + priority: 'P1', + item: 'Begin SOC 2 Type II evidence compilation sprint', + owner: 'Director, AI Governance + CISO Office', + deadline: 'Apr 11', + status: 'Planned', + completion: 68, + scope: 'Availability, confidentiality, processing integrity trust service criteria' + }, + { + priority: 'P1', + item: 'Complete user training to 90% across all departments', + owner: 'Product Manager', + deadline: 'Apr 11', + status: 'In Progress', + completion: 82, + remaining: 'HR department training (newly onboarded), Executive Office advanced features' + }, + { + priority: 'P2', + item: 'Advance ISO 42001 from 91% to 93%', + owner: 'Director, AI Governance', + deadline: 'Apr 11', + status: 'In Progress', + completion: 91 + } + ], + decisionsRequired: [ + { + decision: 'Go/No-Go: Approve full production release at Week 10 gate', + owner: 'Executive Steering Committee', + deadline: 'Apr 7', + impact: 'Approves rollout to all remaining users and departments; transitions programme from pilot to production BAU', + recommendation: 'APPROVE — all 4 primary gate criteria met or exceeded: accuracy 93.8% (≥92%), latency 0.98s (≤1.50s), uptime 99.98% (≥99.90%), cost $0.018 (≤$0.035)', + riskAssessment: 'REI 0.04, 3 active risks all LOW, 3 risks closed. No blocking issues identified.' + }, + { + decision: 'Confirm production cache threshold at 0.96', + owner: 'VP AI Platform', + deadline: 'Apr 7', + impact: 'Permanent threshold reduction from 0.97 to 0.96; +5 pp hit rate; -0.08 pp accuracy', + recommendation: 'Approve — A/B test validated; accuracy impact below 0.1 pp tolerance' + } + ], + lookAhead: { + week10: 'Go/no-go gate (APPROVE expected); cache threshold deployment; SOC 2 sprint begins; final performance benchmarking', + week11: 'Production hardening; all-department rollout preparation; Pinecone serverless migration; user training completion (100%)', + week12: 'Full production release to all departments; SOC 2 Type II evidence package submission; programme retrospective; BAU handoff' + } + }, + + visionaryTheme: { + sectionNumber: 5, + sectionTitle: 'Visionary Theme — Cross-Document Reasoning: The Knowledge Graph Dividend', + theme: 'Knowledge Graph Dividend', + contextHeadline: 'From Retrieval to Reasoning: How Multi-Hop Synthesis Creates Compound Knowledge Value', + strategicNarrative: 'Week 9\'s legal multi-hop synthesis deployment marks a qualitative inflection point in the programme — the transition from document retrieval to document reasoning. Traditional RAG systems answer "What does this document say about X?" Multi-hop synthesis answers "What is the relationship between what Document A says about X and what Document B says about Y, and what does that imply for Z?" This is not an incremental improvement; it is a category-level capability upgrade.', + implications: { + knowledgeCompounding: { + description: 'Each document added to the knowledge graph increases the value of every existing document by creating new potential reasoning paths', + mathematicalModel: 'In a graph with n nodes and average degree k, the number of 2-hop paths scales as O(n × k²). At 1.31M documents with average degree 4.2, this creates ~23M potential reasoning paths.', + practicalImpact: 'Legal team reports that multi-hop synthesis surfaces connections they would not have found through manual review — "unknown unknowns" in contract cross-references.' + }, + competitiveMoat: { + description: 'Multi-hop synthesis requires three capabilities that are expensive to replicate: (1) a mature knowledge graph with accurate relationship edges, (2) a trained GNN that understands document relationships, (3) a reranker that can score relevance across document boundaries', + buildTime: 'Estimated 8–12 months for a competitor to reach equivalent capability from scratch', + investmentToReplicate: '$1.8–2.4M (GNN training + knowledge graph construction + reranker fine-tuning)', + strategicValue: 'This capability should be the centrepiece of the enterprise platform\'s market positioning' + }, + adjacentApplications: { + description: 'The multi-hop synthesis architecture is domain-agnostic and can be extended to any department', + candidates: [ + 'Compliance: Cross-regulatory framework analysis (e.g., "How does GDPR Article 17 interact with SOX Section 302 for our data retention policy?")', + 'Engineering: Cross-repository dependency analysis (e.g., "What are the downstream impacts of deprecating API v2 across all consuming services?")', + 'Finance: Cross-entity financial reconciliation (e.g., "Reconcile the intercompany transfer in Subsidiary A\'s Q3 report with the corresponding entry in the consolidated P&L.")' + ], + rolloutRecommendation: 'Enable multi-hop for Compliance in Week 11, Engineering in Week 12, Finance in Q2 2026' + } + }, + investmentReturn: { + multiHopDevelopmentCost: '$42K (incremental engineering, 3 weeks)', + annualisedTimeSaving: '$214,500/year (Legal department alone)', + roi: '5.1× in Year 1 (Legal only)', + projectedMultiDepartmentROI: '12–15× when extended to Compliance + Engineering + Finance', + strategicValue: 'Patent-eligible architecture; provisional application filed alongside semantic cache patent' + }, + boardImplication: 'Multi-hop synthesis is the programme\'s strongest market differentiator. Recommendations: (1) Prioritise multi-hop extension to Compliance and Engineering departments in Q2 2026. (2) Include multi-hop synthesis capability in the enterprise platform\'s go-to-market materials. (3) Commission a customer advisory board session to gather feedback on cross-document reasoning use cases from enterprise prospects. (4) Allocate $80K in Q2 for a dedicated Knowledge Graph Engineer to accelerate relationship edge quality and coverage.' + } + } +}; + +// ── Week 9 API Endpoints ────────────────────────────────────────────────────── +app.get('/api/veridical-week9', (_, res) => res.json(VERIDICAL_WEEK9)); +app.get('/api/veridical-week9/meta', (_, res) => res.json(VERIDICAL_WEEK9.meta)); +app.get('/api/veridical-week9/reasoning', (_, res) => res.json({ reasoning: VERIDICAL_WEEK9.strategicReasoning })); +app.get('/api/veridical-week9/health', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.projectHealth })); +app.get('/api/veridical-week9/metrics', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.keyMetrics })); +app.get('/api/veridical-week9/risks', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.criticalRisks })); +app.get('/api/veridical-week9/next-steps', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.nextSteps })); +app.get('/api/veridical-week9/multi-hop', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.keyMetrics.multiHopSynthesis })); +app.get('/api/veridical-week9/visionary', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.visionaryTheme })); +app.get('/api/veridical-week9/domains', (_, res) => res.json({ section: VERIDICAL_WEEK9.sections.keyMetrics.dashboardMetrics[0].domainBreakdown })); + // ══════════════════════════════════════════════════════════════════════════════ // SECTION 7: START SERVER // ══════════════════════════════════════════════════════════════════════════════