The Tools for AI‑Ready Feeds with No Drama: The Complete RDRS-Powered Templates + KPI Starter Pack
Want AI you can trust? Stop feeding it mystery data.
Standardize your CDC feeds like products: owner + meaning + controls + SLAs + validation + ops.
NOTE: This final step does not introduce new requirements.
If you’ve worked through the earlier shifts—even for a single Tier‑1 feed—you already have everything you need. The Trusted Feed 1‑pager and KPI starter set simply assemble what you’ve already defined into one place, so you can answer a harder question with confidence: Is this a feed we trust enough to power AI?
Trusted Feed 1‑pager (minimum fields): This 1‑pager is a practitioner‑owned contract (L2) that brings together what RDRS provides at the replication layer (L1) with validation, governance, and operations implemented downstream (L3).
- Source → target(s), pattern, tier
- Owner + on-call
- Keys + delete semantics + caveats (what the data means)
- SLAs (lag/success/errors/validation/recon)
- Target-side validation checks
- Sovereignty controls (approved targets, masking, logging)
- Runbook + recovery test cadence
- What you automate via REST API
Trust Dashboard (start with 8): These KPIs are owned by practitioners (L2); some are sourced from RDRS telemetry (L1), while others are measured in downstream analytics or governance platforms (L3).
- P95 lag
- Time above lag threshold
- Apply errors (top causes)
- Success rate
- Validation pass rate
- Key violations
- Recon variance (if needed)
- Manual interventions / policy exceptions
Adoption in 30 minutes
- Fill the 1‑pager for one Tier‑1 AI-critical feed
- Instrument the 8 KPIs
- Automate one manual task you already perform using the RDRS REST API
- Repeat for the next 3 feeds
Your turn: Two minutes. 3 bullets. 4x value.
- If you filled the Trusted Feed 1-pager for one feed today, which feed would you pick (just the domain/system—no sensitive details)?
- Which KPI would you put on the wall first: p95 lag, apply errors, validation pass rate, recon variance, or manual interventions?
- What’s the first “manual click” you’d eliminate with the REST API?
That’s it. Let us know what you thought!
Catch up on the series: (links)
Can You Get from AI Demos to Systems You Can Actually Run?
Intro: Your AI Is Only as Real as Your CDC: 5 Shifts for Data Integration Practitioners
Shift 1: Make CDC Trustworthy (SLAs + Validation) — Because AI Hates “Maybe” Data
Shift 2: Standardize Bulk and CDC Patterns— Because AI at Scale Can’t Live on Bespoke Feeds
Shift 4: Change-Resilient Pipelines — Schema Drift Breaks AI Faster Than It Breaks BI
Shift 5: Ops Guardrails — Production AI Needs Production Ops
