docs(P2): slides source-of-truth — rename + restructure + rewrite (REQ-245,248,249,252)
Nova Slides Render / render (push) Failing after 1m3s
Nova Slides Render / render (push) Failing after 1m3s
Rename all 5 deck files nova-no-humans-platform* → nova-autonomous-cloud-delivery* (source, marp, html, pptx, talking-points). Rewrite the source of truth to 18 main + 1 appendix slides, 4-beat arc (Problem → Solution → Proof → Roadmap + Ask). All 33 review notes applied: - Slide 1 'The Problem' (items 3,4,5,7,9): broader problem framing — devs writing terraform, destructive changes, AI-era 0-day pace, bandwidth gaps, tribal knowledge/rockstar operator. No arc. No '18 capabilities verified'. Not 'humans are the problem'. - Slide 2 'Nova's Vision' (item 11): 'invisible' → 'visible' (operations become visible — recurring theme); polish for technical audience. - Slide 3 'Strategic Objectives + Anti-Goals' (items 12,13,14,15,16,17, 18): only Obj+Anti-Goals; provable trust = deterministic scripts (functions without AI); ROI = 4 CTO metrics (Lead Time, Vuln Count, MTTR, Spend); drop anti-goals 1,4,5; add 'not upstream dev platform', 'not PDLC replacement'; obj #4 = integration objective; reword benefit. - Slide 4 'Scope' (item 29): moved up, refined. - Slide 5 'RACI' (item 30): moved up; add Quality Engineering column; reassign A from Platform → QE/SRE; rename Release Mgmt → SRE; split release attestation (Quality attestation + Production readiness). - Slide 6 'Pipeline' (item 20): Checkov on static code before plan; Wiz-or-Checkov on plan; never both. - Slide 7 'Decision Ledger' (items 21,22): drop D-121/122/132; 'AI decisions = automated decisions'; value = immutable/queryable/ accountable, not sqlite/hash-chain. - Slide 8 'Attestation Matrix' (item 23): drop bullets below table; add Description column per concern; drop 'operator-supplied' label. - Slide 9 'Telemetry & Live Ops' (item 25): expand on value; drop D-120/125/126; expand on PowerBI live ops dashboard. - Slide 10 'Decision Ledger + Attestation Coverage' (item 27): mandatory by design; no prod change without either; queryable for auditing; full traceability. - Slide 11 'Cost & ROI': minor polish; 4 CTO metrics referenced. - Slide 12 'What's Deferred' (items 10,19): remove all D-IDs; plain- language blockers; no status column. - Slide 13 'Roadmap to the North Star' (items 10,19): drop D-IDs; no status column; timeframe-based roadmap. - Slide 14 '12-Month Product Roadmap' (item 24): drop planned badges. - Slide 15 'Quarter-by-Quarter' (item 24): drop badges. - Slide 16 'Atelier (1/2)' (item 31): split — Skills + MCP server overview. - Slide 17 'Atelier (2/2)' (item 31): split — agentic validation beyond deterministic scanners + vendoring. - Slide 18 'Recap + Ask': refresh recap to 4-beat structure. - Appendix A1 'Metrics Glossary' (item 32): kept; theme CSS fix in P3. - Global (items 6,10,24,2): tech-leadership benefits; no D-###/REQ-###/ .py paths in audience slides; no badges; no version in footer; final 'less is more' prose pass. Removed: old Slide 10 (Capability Health), old Slide 12 (Zero-Touch), old Appendix A2 (Operating Model & Cost). Slide 5 first table removed. ---ci--- project: acdl phase: 2 milestone: v1.21 status: execute phase_role: execution ---/ci---
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Jon Chery
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marp: true
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theme: nova-sp
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paginate: true
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size: 16x9
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header: 'Nova — The No-Humans Infrastructure Platform'
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footer: 'Act %{page}/5 — v1.20'
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---
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<!-- _class: title -->
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<!-- _paginate: false -->
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# Nova — The No-Humans Infrastructure Platform
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**Shifting from Operational Overhead to Strategic Value**
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v1.18 — Citizen Developer & Production-Grade Guidance
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---
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## Slide 1 — Arc Preview
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**This deck proves Nova is the no-humans infrastructure platform — and shows you the metrics that make the claim defensible.**
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**Today:** 18 capabilities verified, 0 consumer estates in production.
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**The 5-act arc:**
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1. **Problem** — why the operator is the bottleneck
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2. **Vision** — Nova's strategic direction (NORTH_STAR)
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3. **How** — the pipeline, Decision Ledger, attestation gates
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4. **Proof** — grounded metrics that make the claim defensible
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5. **Roadmap** — deferred metrics with unblock paths + the ask + scope + RACI
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**Benefit:** you leave knowing which claims are proven today, which are pipeline-ready, and which are deferred with a documented unblock path — no marketing, just grounded evidence.
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---
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## Slide 2 — The No-Humans Imperative
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**Why the operator is the bottleneck — and why removing them from operations (not accountability) is the imperative.**
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- **The cost of humans-in-the-loop:** L1/L2 ops hours, escalation latency, the trust gap
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- **The operator is the bottleneck:** provisioning takes days, not minutes
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- **The attestation model:** autonomy in operations, human at stage gates
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- Cites `docs/NO_HUMANS_THESIS.md`
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**Benefit:** you now know the problem framing — autonomy in operations, human at stage gates, is the path forward.
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---
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## Slide 3 — Nova's Vision
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> **Infrastructure operations become invisible. Every environment provisioned, every incident healed, every risk remediated — by an autonomous system whose trustworthiness is provable, not promised. Human attestation remains required at stage gates — QA signs off for production, SRE greenlights based on operational readiness — but the operator is never in the loop of normal operations.**
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- Autonomy in operations, not in accountability
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- Cites `docs/NO_HUMANS_THESIS.md`
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**Benefit:** you now know the destination — invisible operations with provable trust, not promised trust.
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---
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## Slide 4 — Strategic Objectives + Anti-Goals
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**4 Strategic Objectives:**
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1. **Zero-touch operations** — autonomy as the default, not the demo
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2. **Provable trust in AI decisions** — Decision Ledger, confidence scoring, circuit breakers
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3. **Compounding, quantifiable ROI** — each quarter must reduce spend, free hours, avoid downtime
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4. **Default substrate for agentic consumption** — the platform AI agents reach for first
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**5 Anti-Goals (what Nova is NOT):**
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1. Not a hyperscaler competitor
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2. Not a general-purpose AI platform
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3. Not removing humans from accountability
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4. Not for legacy, untagged, or freeform infrastructure
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5. Not sold to operators
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**Benefit:** you now know the scope boundaries — Nova is purpose-built for infrastructure operations, sold to leadership on outcomes.
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---
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## Slide 5 — 12–18 Month Targets
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**Current-milestone targets (grounded/derived):**
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| Domain | Target | Status |
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|---|---|---|
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| MTTR (p95) | < 60s | grounded |
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| Cloud Spend Reduction | ≥ 25% | partial (CUR deferred D-096) |
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| L1/L2 Ops Hours Avoided | ≥ 70% | derived (N internal runs) |
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| Platform ROI | ≥ 250% | derived (formula; N=0 caveat) |
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| Decision Ledger Coverage | 100% | grounded |
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| Attestation Coverage | 100% | grounded |
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**Post-Pilot targets (pipeline grounded; 0 consumers today):**
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| Domain | Target | Status |
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|---|---|---|
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| Touchless Resolution Rate | ≥ 99% | partial |
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| Human Escalation Frequency | < 0.1% | partial |
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| AI Decision Accuracy | ≥ 99.5% | partial |
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**Deferred:** Predictive vs Reactive ≥3:1 <span class="badge planned">Planned</span> · Drift Auto-Reversal ≥95% <span class="badge planned">Planned</span>
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**Benefit:** you now know the destination numbers — and which are measurable today vs deferred honestly.
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---
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## Slide 6 — The Platform Pipeline
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**How intent becomes verified infrastructure without an operator.**
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Contract → Resolver → Adapter → Terraform Plan → Checkov (Policy) → Confidence Signal → HITL Gate → Apply → Evidence
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- Dev: autonomous (no HITL gate)
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- qa/prod/dr: attested (human sign-off required)
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- Grounded in `run_platform.sh` + `contract_resolver.py` + `confidence_signal.py`
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**Benefit:** you now know the path from intent to evidence — and where the human appears (stage gates only).
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---
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## Slide 7 — The Decision Ledger
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**Every AI decision captured with confidence, alternatives, and outcome.**
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- `outbox_writer.py` → SQLite append-only hash-chain table
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- `ai.decision.made`: decision_id=run_id, chosen_action=band, confidence=score, alternatives=perInput, human_override=HITL block
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- `attestation.recorded`: qa/prod/dr sign-offs
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- D-121, D-122, D-132. Honors D-083 (no S3 Object Lock/JWS — local hash-chain)
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**D-122 honesty:** Nova's "AI" is the confidence-gated policy engine (confidence_signal + HITL gate), not an LLM planner. The Decision Ledger captures this real decision path — not a fabricated "AI agent."
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**Benefit:** you now know why 'autonomous' is defensible — every decision is immutable, queryable, and accountable. And you know exactly what 'AI' means here: a confidence-gated policy engine, not a black-box LLM.
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---
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## Slide 8 — The 8-Concern Attestation Matrix
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**Designed controls that keep humans at stage gates.**
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| Concern | Env | Freshness | Type |
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|---------|-----|-----------|------|
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| functional_correctness | qa | 24h | operator-supplied |
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| performance_baseline | qa | 7d | operator-supplied |
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| security_posture | qa | 24h | operator-supplied |
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| operational_readiness | prod | 30d | operator-supplied |
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| incident_response | prod | 90d | operator-supplied |
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| capacity_cost | prod | 30d | operator-supplied |
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| resilience_dr_drill | prod | 180d | operator-supplied |
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| dr_region_deploy | dr | 180d | operator-supplied |
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- Offline-testable concerns run for real; operator-supplied concerns accept signed evidence
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- Separation-of-duties on prod
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- Grounded in `attestation_matrix.py` + `hitl_gates.py`
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**Benefit:** you now know the gate model — autonomy in operations, human in accountability, by design.
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---
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## Slide 9 — Telemetry Architecture
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**How Nova instruments itself — CloudEvents envelope, cold store, PowerBI export.**
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Platform → CloudEvents 1.0 → `metrics/events.jsonl` + `metrics/decision_ledger.db` + `metrics/runs/` → Collector → `metrics/nova_metrics.db` (SQLite cold store) → `metrics/powerbi/` (CSV/JSON) → PowerBI
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- D-120 (Nova-native), D-125 (hybrid), D-126 (cold-only)
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- <span class="badge planned">Planned</span>: Hot-path (live ops dashboard) — D-126
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**Benefit:** you now know that every metric in this deck is traceable to a real emitted event — the architecture IS the trust substrate. When a CFO asks 'where does this number come from?', the answer is a file path, not a Slack thread.
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---
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## Slide 10 — Capability Health + Confidence Distribution
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**Grounded proof: capability health and confidence distribution from real runs.**
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| Status | Count |
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|--------|-------|
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| Verified | 18 |
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| Skipped | 4 |
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| Broken | 0 |
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| Decayed | 0 |
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- 4 Skipped = live-AWS caps (CAP-013..016), honestly skipped (D-096 teardown), not a failure
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- Source: `.ciagent/REGRESSION_REPORT.json`
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**Benefit:** you now know the platform is verified — 18 capabilities pass, 4 are honestly skipped, 0 broken.
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---
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## Slide 11 — Decision Ledger + Attestation Coverage
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**Trust metrics — both 100%.**
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- **Decision Ledger Coverage:** 100% of platform runs emit `ai.decision.made` with outcome backfill
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- **Attestation Coverage:** 100% of prod/dr promotions attested by a human
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- **AI Decision Accuracy:** decisions not followed by apply.failed/incident within 5min
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- Trust snapshot: `metrics/TRUST_SNAPSHOT.md` with chain-integrity verdict
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- <span class="badge planned">Planned</span>: Tamper-Evident Ledger Checkpoints (D-083)
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**Benefit:** you now know the trust is provable — not a marketing claim, a queryable record.
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---
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## Slide 12 — Zero-Touch Efficiency
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**Touchless resolution, human escalation, and MTTR.**
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- **Touchless Resolution Rate:** runs without operational HITL block ÷ total (attestation gates excluded)
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- **Human Escalation Frequency:** operational HITL blocks only (confidence-driven; attestation sign-offs excluded)
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- **MTTR (platform-run):** apply.failed → successful retry (D-131)
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**Post-Pilot caveat:** computed on N internal runs today; production-denominator activates when a pilot estate runs.
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**Benefit:** you now know the zero-touch efficiency is measurable — the pipeline works today on internal runs, and the denominator expands to production estates when a pilot activates.
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---
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## Slide 13 — Cost & ROI
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**Cost estimates and the ROI formula — with honest caveats.**
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- **Cost Estimates via Infracost:** pre-apply, grounded (reads plan JSON, offline)
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- **ROI formula:** `Platform ROI = (FTE hours saved × blended rate + cloud savings + avoided downtime) ÷ platform op cost`
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- **N=0 caveat:** "Computed on N internal runs today; production-denominator activates post-pilot. The formula is grounded; the production numbers are not yet."
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- <span class="badge planned">Planned</span>: Live CUR Reconciliation (D-096)
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**Benefit:** you now know the ROI formula — and you know it's computed on internal runs today, not fabricated production numbers.
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---
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## Slide 14 — What's Deferred — and Why
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**Honesty about what isn't measured yet.**
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**To be clear:** these deferrals are *measurement infrastructure*, not whether the platform runs without humans. The platform IS autonomous in operations. What's deferred is the *evidence pipeline* for certain metrics — not the autonomy itself.
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| # | Deferred Metric | Blocking Decision |
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|---|----------------|-------------------|
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| 1 | Live Infrastructure Health | D-096 |
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| 2 | Live Outbox Write Rate | D-096 |
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| 3 | Tamper-Evident Ledger Checkpoints | D-083 |
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| 4 | Onboarding Funnel (granted) | D-113/D-114/D-119 |
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| 5 | Drift Auto-Reversal | D-096 + no scheduler |
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| 6 | Live CUR Reconciliation | D-096 |
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| 7 | SLA / Unplanned Downtime | D-096 |
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| 8 | Predictive vs Reactive | future emitter |
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**Benefit:** you now know the boundaries — what Nova measures today, and exactly what blocks the rest. The autonomy is real; the measurement gaps are documented.
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---
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## Slide 15 — Roadmap to the North Star
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**The path from v1.17's grounded metrics to the 12–18 month targets.**
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- Each deferred metric → blocking decision → unblock requirement → candidate milestone
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- Hot-path activation (post-D-096, Nova-native only, D-120)
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- Re-evaluation triggers: D-096 lift, D-083 lift, onboarding-grant lift
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From `docs/METRICS_DEFERRED_ROADMAP.md`.
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**Benefit:** you now know the path — every deferred metric has an unblock requirement and a candidate milestone. Nothing is hand-waved; everything has a plan.
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---
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## Slide 16 — Recap + Ask
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**The 5-act recap + the business decision.**
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**Recap:**
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- **Problem:** operator is the bottleneck; autonomy in operations, human at stage gates
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- **Vision:** invisible operations with provable trust (NORTH_STAR)
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- **How:** pipeline + Decision Ledger + 8-concern attestation matrix
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- **Proof:** 18V+4S, 100% ledger coverage, 100% attestation, grounded ROI formula
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- **Roadmap:** deferred metrics have unblock paths
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**The ask:** "Approve a pilot estate to activate the production-denominator metrics (Touchless Resolution, Human Escalation, AI Decision Accuracy), and approve the tamper-evident ledger build-out (D-083 lift) to move from local hash-chain to S3 Object Lock + JWS. These two decisions move Nova from 'pipeline-ready' to 'production-proven.'"
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**Benefit:** you leave with a clear business decision to make — approve a pilot + the ledger build-out — and the confidence that every claim in this deck is grounded, derived, or honestly deferred.
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---
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## Slide 17 — Scope: Downstream of PDLC
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**Nova governs infrastructure + delivery. The PDLC (product backlog, code authorship, IDE) is upstream — Nova never penetrates it.**
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- **The PDLC is upstream:** product backlog, code authorship (AI agent / IDE / agentic SDLC), sprint planning, application business logic
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- **Nova is downstream:** contract ingestion → submission-readiness gate → policy → cloud lifecycle → environment progression → audit + attestation
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- **Integration is only through the contract boundary:** the citizen developer's AI coding agent, an upstream agentic SDLC, or any dev platform may all produce submissions — the source does not matter as all are subject to the same compliance standards
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- Nova validates the submission, not the author
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- Cites `docs/scope.md` + `PROJECT.md` § Scope
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**Benefit:** you now know the scope boundary — Nova is purpose-built for infrastructure operations, not product development; integration is through one validated contract.
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---
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## Slide 18 — RACI: Who Owns What
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**Three roles, one matrix — the citizen developer owns FRs + UAT, the platform owns NFRs + infra + QA + prod deploy, release management is co-owned.**
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| Work Category | Citizen Dev | Platform | Release Mgmt |
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|---|---|---|---|
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| Functional Requirements (FRs) | **R/A** | C | I |
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| User Acceptance Testing (UAT) | **R/A** | C | I |
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| Non-Functional Requirements (NFRs) | I | **R/A** | C |
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| Infrastructure (cloud, state, IAM) | I | **R/A** | C |
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| QA (policy, confidence, schema) | C | **R/A** | I |
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| Production deployment to cloud | I | **R/A** | C |
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| Release attestation (QA + SRE) | **A** | R | **R** |
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- **Compliance-standard equivalence:** FRs + UAT may come from any upstream source (AI agent, agentic SDLC, dev platform) — all pass the same submission-readiness gate
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- **Release co-ownership:** the platform runs the attestations agentically; the citizen developer oversees and triggers the actual release (human at the stage gate)
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- Cites `docs/raci.md` + `PROJECT.md` § RACI Matrix
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**Benefit:** you now know exactly what you bring (FRs + UAT), what Nova provides (NFRs + infra + QA + prod deploy), and what you co-own (the release attestation).
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---
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## Slide 19 — Production-Grade Guidance via Atelier
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**Nova instructs the citizen developer's AI agent on production-grade engineering — skills + an MCP server with agentic validation beyond deterministic scanners.**
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- **Skills (9):** markdown files under `skills/` keyed to Atelier domain paths (api, security, data, testing, observability, errors, devops, infrastructure-as-code, compliance) — extending the BA.A 5-skill catalog
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- **MCP server:** `mcp/atelier/server.py` (plugin-registry, stdio) — 4 tools: `lookup_principle`, `list_domains`, `matrix_lookup`, `validate_against_principles`
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- **Agentic validation:** catches C1 correctness + C2 clarity + C7 observability gaps that Wiz/Checkmarx/Mend cannot — deterministic tools check policy/secrets; the MCP server checks engineering discipline
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- **Vendored Atelier** (pinned tag v0.3.6): audit reproducibility — a validation result is replayable against the exact principles that produced it
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- Cites `docs/skills.md` + `mcp/atelier/README.md`
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**Benefit:** you now know the citizen developer is not unguided — Nova provides production-grade engineering principles via skills + an MCP server, so the AI agent's submissions meet the same standards regardless of upstream source.
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---
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<!-- _class: title -->
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<!-- _paginate: false -->
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## Appendix A1 — Metrics Glossary
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| KPI | Definition | Status |
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|-----|-----------|--------|
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| Touchless Resolution Rate | runs without operational HITL block ÷ total | partial (Post-Pilot) |
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| Human Escalation Frequency | operational HITL blocks ÷ total | partial (Post-Pilot) |
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| AI Decision Accuracy | decisions not followed by failure within 5min | partial (Post-Pilot) |
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| MTTR (p95) | apply.failed → successful retry | grounded |
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| Confidence-Gate Halt Rate | runs with band=block ÷ total | grounded |
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| Provisioning Lead Time | run.completed − run.started | grounded |
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| Deployment Frequency | count(run.completed) per day | grounded |
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| Cost Savings (Infracost) | sum(delta_usd where delta < 0) | partial (CUR deferred) |
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| FTE Hours Saved | run count × manual baseline × rate | derived (N=0 caveat) |
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| Platform ROI | (labor + cloud + avoided downtime) ÷ op cost | derived (N=0 caveat) |
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| Decision Ledger Coverage | decisions with outcome ÷ total | grounded |
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| Attestation Coverage | prod/dr attested ÷ total prod/dr | grounded |
|
||||
| Policy Compliance Rate | 1 − failed_assets ÷ total | grounded |
|
||||
|
||||
---
|
||||
|
||||
<!-- _class: title -->
|
||||
<!-- _paginate: false -->
|
||||
|
||||
## Appendix A2 — Operating Model & Cost
|
||||
|
||||
- **Cost figures** from `COST.md`: $0.001883 over 8 days, ~$0.007/month, S3-dominated, zero BAU compute
|
||||
- **Zero-cost steady state:** all resources torn down post-v1.11 (D-096); the platform runs offline
|
||||
- References the pre-mortem (`PRE_MORTEM.md`: v1.10 decay root cause + structural mitigations)
|
||||
|
||||
**Benefit:** you now know the operating cost is negligible — and the structural mitigation that prevents decay.
|
||||
---
|
||||
|
||||
<!-- _class: title -->
|
||||
<!-- _paginate: false -->
|
||||
|
||||
## Slide 20 — 12-Month Product Roadmap
|
||||
|
||||
**The product arc from pilot activation to agentic substrate — four quarters, four outcomes.**
|
||||
|
||||
| Quarter | Theme | Board-level outcome |
|
||||
|---------|-------|---------------------|
|
||||
| **Q1** | <span class="badge planned">Pilot Activation</span> | Nova runs a real customer estate end-to-end, autonomously, with a measurable zero-touch rate |
|
||||
| **Q2** | <span class="badge planned">Provable Trust</span> | Every AI decision lands in a tamper-evident ledger; CFO sees real cloud-spend reconciliation |
|
||||
| **Q3** | <span class="badge planned">Compounding ROI</span> | Quarter-over-quarter cloud spend drops; drift is detected and reversed without a human |
|
||||
| **Q4** | <span class="badge planned">Agentic Substrate</span> | AI agents deploy through Nova by default; Nova is the substrate, not a vendor arriving late |
|
||||
|
||||
**Grounded in:** the 4 strategic objectives (autonomy, provable trust, ROI, agentic substrate) + the deferred-metric unblock paths.
|
||||
|
||||
**Benefit:** you now know the 12-month product arc — each quarter activates a strategic objective and its corresponding board-level metric, from pilot activation through agentic substrate leadership.
|
||||
|
||||
---
|
||||
|
||||
<!-- _class: title -->
|
||||
<!-- _paginate: false -->
|
||||
|
||||
## Slide 21 — Quarter-by-Quarter Outcomes
|
||||
|
||||
| Quarter | Product theme | Key deliverable | Target metric | Grounding |
|
||||
|---------|--------------|-----------------|---------------|-----------|
|
||||
| **Q1** | Pilot Activation | Re-provision live AWS; activate first pilot estate; onboarding auto-grant | Touchless Resolution ≥ 99% · Escalation < 0.1% · AI Accuracy ≥ 99.5% | Strategic Objective #1 — autonomy as the default |
|
||||
| **Q2** | Provable Trust | Tamper-evident ledger (Object Lock + JWS); daily checkpoints; live cost reconciliation (CUR) | Decision Ledger Coverage 100% · Cost Savings ≥ 25% | Strategic Objective #2 — trust is the moat |
|
||||
| **Q3** | Compounding ROI + Drift | Drift detection scheduler; auto-reversal; Infracost→CUR reconciliation on pilot estate | Drift Auto-Reversal ≥ 95% · Spend Reduction ≥ 25% | Strategic Objective #3 — CFO-pointable numbers |
|
||||
| **Q4** | Agentic Substrate + Predictive | ML anomaly-forecasting; AI-agent intent surface; multi-cloud (Azure/GCP) preview | Predictive:Reactive ≥ 3:1 · AI-Agent Intent Share ≥ 40% (first measurement) | Strategic Objective #4 — default substrate for agents |
|
||||
|
||||
**Month-18 destination:** *"Nova is the layer enterprise leadership points to when they say 'we don't have an infrastructure ops team anymore, and the audit trail is stronger than it ever was.'"*
|
||||
|
||||
**Benefit:** you now know the quarter-by-quarter detail — each quarter has a concrete deliverable, a target metric grounded in a strategic objective, and a path from "honestly deferred" to "shipped and measured."
|
||||
Reference in New Issue
Block a user