AI and Data Readiness Review

Find the architectural gaps before implementation makes them expensive.

For one defined AI or data use case, Archetype Core reviews data readiness, system readiness, and evidence readiness to identify the highest-priority architectural gaps before they become production problems.

Three Questions the Review Tests

AI-ready is not audit-ready.

A system can work in production and still carry weaknesses in data quality, controls, ownership, traceability, or operational evidence.

Data readiness

Is the data authoritative, understood, and traceable to its source?

System readiness

Can it be used securely and reliably, with the right controls, testing, and monitoring?

Evidence readiness

Could someone later reconstruct what the system saw, did, produced, and what a human ultimately decided?

Data + Decision Traceability Map

The evidence has to survive each handoff.

The review maps the selected use case across the full chain so missing controls, ownership, dependencies, and traceability become visible.

Source → data / retrieval → AI / agent → output → human action → decision

What You Leave With

A practical record of what needs attention.

The review is designed to support a real architecture or implementation decision, not produce a generic maturity score.

Traceability Map

Data + Decision Traceability Map for the selected use case.

Prioritized findings

Findings tied to evidence, mission, and operational risk.

Scoped recommendation

Remediation or pilot recommendation when the evidence supports it.

Team readout

One-hour readout with your team to walk through the map, findings, and next decision.

Standard Review

A bounded engagement with a clear starting point.

Two weeks

From kickoff

One defined use case

Confirmed at intake

$9,500

Fixed fee

Standard engagement covers one bounded use case confirmed during a short intake. Delivery starts at kickoff once required access and materials are available. Work outside the confirmed boundary is scoped separately.

Built for federal agencies, government contractors, and regulated teams modernizing consequential data or AI systems.

Scope Note

The review informs the next move. It does not predetermine it.

This is an advisory engagement, not a penetration test, compliance certification, formal audit, or authorization decision. Findings may point to remediation, modernization, a controlled pilot, evidence and traceability improvements, or no build at all. Any implementation work is scoped separately.

Have one use case in mind?

Start with a short intake to confirm the boundary, access, and materials needed for the review.

Discuss the Readiness Review