Platform architecture
Built around evidence, gates, and accountable decisions.
Killeen IT is a governed intelligence platform: data is staged, evaluated, promoted, held, transformed, packeted, and closed through explicit review lanes.
The operating model.
1 · Intake
Source-preserving ingestion
Files and tables are copied, hashed, inventoried, and routed without deleting or overwriting sources.
2 · Readiness
Schema and transform planning
Tables are profiled, mapped, and dry-run transformed before production-curated outputs are created.
3 · Governance
Hold and exclusion discipline
Parse-risk, large-caution, duplicate, synthetic, or manual-review items are held out until resolved.
4 · Curated corpus
Production-curated outputs
Clean-ready tables can be promoted into verified curated outputs while risky tables remain excluded.
5 · Evidence packet
Gold-run proof
Curated outputs become reviewer-facing evidence cards, lane summaries, metrics, and closure proof.
6 · Pilot review
External-ready review set
Only sanitized, non-raw, non-script evidence packets are packaged for outside review.
Guardrail-first execution.
| Action | Current posture |
|---|---|
| Pilot evidence review | Approved through a closed external-review share packet. |
| Training / model learning | Not approved. Requires separate training-readiness, leakage-control, split, and approval lane. |
| Scoring automation | Not approved. Proof-output metrics exist, but scoring automation remains gated. |
| Writeback / overwrite / delete | Not approved. Source data movement remains off. |
| Risky parse / large tables | Held out from the clean-ready pilot corpus until separate governance paths are closed. |