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acdl/docs/presentations/nova-no-humans-platform-talking-points.md
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Jon Chery ed5ea90654 feat(P3): add 12-month product roadmap slides (REQ-244)
Slide 20 — 12-Month Product Roadmap: 4-quarter arc (Pilot Activation →
Provable Trust → Compounding ROI → Agentic Substrate).
Slide 21 — Quarter-by-Quarter Outcomes: detail table (theme, deliverable,
target metric, strategic-objective grounding).
Both grounded in NORTH_STAR's 4 strategic objectives + deferred-metric
candidate milestones. Distinct from Slide 15's deferred-metric unblock paths.
Matching talking-points sections added. HTML + PPTX re-rendered via S&P theme.

---ci---
project: acdl
phase: 3
milestone: v1.20
status: execute
requirements: [REQ-244]
---/ci---
2026-08-07 18:28:01 +00:00

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# Nova — The No-Humans Infrastructure Platform: Talking Points
> Step 4 of the 4-step deck process. Presenter cues distilled from the
> source of truth (`nova-no-humans-platform.md`). 3-6 bullets per slide
> + key takeaway. Indexed by Marp slide #.
> v1.17 — REQ-196, REQ-197
---
### Slide 1 — Arc Preview
- Open with the stake line: "18 capabilities verified, 0 consumer estates in production"
- Preview the 5-act arc so the audience knows the structure
- Set the honesty frame: "this is an evidence deck, not a hype deck"
- **Key takeaway:** you'll leave knowing what's proven, what's pipeline-ready, and what's deferred
### Slide 2 — The No-Humans Imperative
- The operator is the bottleneck: days vs. minutes for provisioning
- Key reframing: "no-humans" = no human in normal operations; stage-gate attestation is human by design
- Cite the no-humans thesis doc
- **Key takeaway:** autonomy in operations, human at stage gates
### Slide 3 — Nova's Vision
- Read the vision statement verbatim — it's precise
- Emphasize "provable, not promised" — the difference between marketing and defensible
- State the attestation model up front to prevent mishearing
- **Key takeaway:** invisible operations with provable trust
### Slide 4 — Strategic Objectives + Anti-Goals
- The 4 objectives are the "what"; the 5 anti-goals are the "what NOT"
- Anti-goal #3 (not removing humans from accountability) reinforces slide 3
- Anti-goal #5 (not sold to operators) explains why this deck is for leadership
- **Key takeaway:** purpose-built for infra ops, sold to leadership on outcomes
### Slide 5 — 1218 Month Targets
- The three-section split (current / post-pilot / deferred) IS the honesty model
- "Partial" means the pipeline works but the denominator is zero (0 consumers)
- The Post-Pilot targets are committed; the numbers fill when a pilot runs
- **Key takeaway:** which numbers are real today vs. deferred honestly
### Slide 6 — The Platform Pipeline
- Walk the pipeline left-to-right: contract → resolver → adapter → plan → policy → confidence → gate → apply
- Key insight: dev is autonomous; qa/prod/dr require attestation
- The confidence signal is the "AI" — 6-input weighted score, not an LLM
- **Key takeaway:** the path from intent to evidence, with humans at stage gates only
### Slide 7 — The Decision Ledger
- The D-122 honesty sentence is critical: "Nova's AI is the confidence-gated policy engine, not an LLM"
- The ledger is the moat: features can be copied, an immutable decision history cannot
- Every decision has outcome backfill from apply.completed
- **Key takeaway:** autonomous is defensible because every decision is immutable, queryable, accountable
### Slide 8 — The 8-Concern Attestation Matrix
- The matrix is not a rubber stamp — it's structured, freshness-validated, SoD-enforced
- Offline-testable concerns run for real; operator-supplied concerns accept signed evidence
- SoD on prod: the approver can't be the same person who built it
- **Key takeaway:** autonomy in operations, human in accountability, by design
### Slide 9 — Telemetry Architecture
- Deliberately minimal (Nova-native, no Kafka/Prometheus/ClickHouse)
- Every number in the Proof act is traceable to a file path
- The hot path is deferred (D-126) — cold store is sufficient for batch
- **Key takeaway:** the architecture IS the trust substrate — "where does this number come from?" → file path
### Slide 10 — Capability Health
- 18V+4S is the single most important proof point
- The 4 Skipped are live-AWS caps — honestly skipped (D-096), not broken
- When live AWS is re-provisioned, they reactivate
- **Key takeaway:** the platform works, and we're honest about what we can't test
### Slide 11 — Decision Ledger + Attestation Coverage
- Both 100% — no AI decision is ever lost; no prod/dr promotion lands without a human sign-off
- The trust snapshot has a chain-integrity verdict (the ledger hasn't been tampered with)
- D-083 (S3 Object Lock + JWS) is the next step for the ledger
- **Key takeaway:** trust is provable — not a marketing claim, a queryable record
### Slide 12 — Zero-Touch Efficiency
- The Post-Pilot caveat is the honesty model: pipeline works, denominator is zero
- This is NOT a fabricated "99% touchless" claim
- The numbers fill when a pilot runs
- **Key takeaway:** the measurement works; the numbers activate with a pilot
### Slide 13 — Cost & ROI
- The ROI formula is shown inline — not hidden in a footnote
- The N=0 caveat is stated explicitly
- This is the "no fabrication" constraint in action
- **Key takeaway:** the formula is ready; the production denominator activates with a pilot
### Slide 14 — What's Deferred — and Why
- The preempt is critical: deferrals are measurement infrastructure, not autonomy
- The platform IS autonomous in operations; what's deferred is the evidence pipeline
- Showing this to leadership demonstrates honesty, not weakness
- **Key takeaway:** the autonomy is real; the measurement gaps are documented
### Slide 15 — Roadmap to the North Star
- Every deferred metric has a specific unblock requirement and a candidate milestone
- The re-evaluation triggers ensure the metrics layer evolves
- Nothing is hand-waved; everything has a plan
- **Key takeaway:** the path from "honestly deferred" to "here's how we get there"
### Slide 16 — Recap + Ask
- Recap the 5-act arc so the audience leaves with the structure
- The ask is a business decision: approve a pilot + the ledger build-out
- "Pipeline-ready" → "production-proven" is the value proposition
- **Key takeaway:** approve a pilot + the ledger build-out to move from pipeline-ready to production-proven
### Slide 17 — Scope: Downstream of PDLC
- Nova governs infra + delivery only; the PDLC (product backlog, code authorship, IDE) is upstream
- Integration is only through the validated contract boundary
- Any upstream source (AI agent, agentic SDLC, dev platform) may produce submissions — all subject to the same compliance standards
- Nova validates the submission, not the author
- **Key takeaway:** Nova is purpose-built for infrastructure operations, not product development; the scope boundary is clean
### Slide 18 — RACI: Who Owns What
- Citizen Developer owns FRs + UAT (via any upstream source — AI agent, SDLC, dev platform — all pass the same gate)
- Platform owns NFRs + infra + QA + prod deploy
- Release Management is co-owned: platform runs attestations agentically, citizen developer oversees + triggers the release (human at stage gate)
- The compliance-standard equivalence is the key: the source does not matter; the submission does
- **Key takeaway:** you bring FRs + UAT; Nova provides NFRs + infra + QA + prod deploy; the release is co-owned with you at the stage gate
### Slide 19 — Production-Grade Guidance via Atelier
- Nova instructs the citizen developer's AI agent via skills (9 markdown files) + an MCP server (4 tools, plugin-registry, stdio)
- The MCP server provides agentic validation beyond deterministic scanners — catches correctness, clarity, observability gaps that Wiz/Checkmarx/Mend cannot
- Atelier is vendored (pinned tag) for audit reproducibility — a validation result is replayable
- This is how Nova ensures the citizen developer's submissions meet production-grade standards regardless of upstream source
- **Key takeaway:** the citizen developer is not unguided — Nova provides engineering principles via skills + MCP, so every submission meets the same standards
### Appendix A1 — Metrics Glossary
- Reference for every metric mentioned in the deck
- Use if the audience asks "what does X mean?"
### Appendix A2 — Operating Model & Cost
- The operating cost is negligible (~$0.007/month)
- The zero-cost steady state (D-096 teardown) is the structural mitigation
- References the pre-mortem for the decay-prevention story
---
## Slide 20 — 12-Month Product Roadmap
**Key takeaway:** The next 12 months have a clear product arc — pilot activation → provable trust → compounding ROI → agentic substrate. Each quarter activates one strategic objective.
- This is the *product* roadmap, not the technical roadmap. The technical milestones (v1.0v1.19) are behind us; this is forward-looking.
- Q1 (Pilot Activation): re-provision live AWS, activate the first pilot estate, light up the three post-pilot metrics. Onboarding auto-grant ships.
- Q2 (Provable Trust): tamper-evident ledger (Object Lock + JWS), daily checkpoints, live cost reconciliation. Trust is the moat — features can be copied; an immutable decision history cannot.
- Q3 (Compounding ROI + Drift): drift detection + auto-reversal, Infracost→CUR reconciliation on the pilot estate. This is the quarter the CFO points to a number that improves quarter-over-quarter.
- Q4 (Agentic Substrate + Predictive): ML anomaly-forecasting, AI-agent intent surface, multi-cloud preview. The Future Horizon target moves from aspiration to first measurement.
- The roadmap is grounded in the four strategic objectives from the North Star — autonomy, provable trust, ROI, agentic substrate — and the deferred-metric unblock paths from Slide 15.
**If asked "what about multi-cloud?"**: Q4 preview. AWS-only through Q3; Azure/GCP enters preview in Q4. We optimize for depth first, breadth second.
**If asked "what about the ML service?"**: Q4. The predictive-vs-reactive ≥3:1 target requires an ML anomaly-forecasting emitter — the most technically ambitious deliverable on the roadmap.
---
## Slide 21 — Quarter-by-Quarter Outcomes
**Key takeaway:** Each quarter has a concrete deliverable, a target metric, and a strategic-objective grounding. Nothing is hand-waved.
- Q1: three post-pilot metrics go live (Touchless ≥99%, Escalation <0.1%, Accuracy ≥99.5%). The measurement pipeline is already grounded; the denominator activates when the pilot estate runs.
- Q2: Decision Ledger Coverage was already grounded — the *tamper-evidence* is the Q2 upgrade (SQLite hash-chain → S3 Object Lock + JWS). Cost Savings ≥25% becomes CFO-grade with live CUR reconciliation.
- Q3: Drift Auto-Reversal ≥95% unblocks when the drift scheduler ships. Spend Reduction ≥25% is the same target, now measured against the pilot baseline.
- Q4: Predictive:Reactive ≥3:1 requires the ML forecasting service. AI-Agent Intent Share ≥40% moves from aspiration to first measurement.
- The 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.'"
**If asked "are these committed or aspirational?"**: Q1Q3 are committed (grounded pipeline + known unblock paths). Q4 targets are committed-deliverable, aspirational-metric — the ML service ships, the ≥40% intent share is first measurement (we don't control adoption rate).