Article

Public-Sector Agentic AI Needs a Contract Record

2026-09-30

Public-Sector Agentic AI Needs a Contract Record

What provenance and acceptance evidence belongs in the record when contractors use AI-assisted delivery.

The operating problem

Public accountability does not disappear because a contractor used an AI tool. The record still needs to show approved intent, material sources, changed artifacts, tests, reviewer findings, human acceptance, and unresolved risk.

What the review should cover

• Define AI-use disclosure and evidence expectations in the work plan
• Preserve material provenance without dumping raw internal reasoning
• Tie acceptance criteria to contract outcomes
• Require reviewable security and quality evidence
• Retain human approvals and closeout artifacts

Start with a real scenario

The procurement question is not whether every prompt belongs in the file. It is whether the agency can understand what changed, what evidence supports acceptance, and who remained accountable.

Where JarviSIM and JSWARM fit

Human-AI operating principles provide the doctrine. JarviSIM can support defensible process and source baselines. JSWARM provides a repeatable method for AI-assisted delivery with visible review and closeout.

Practical next step

Request a governed agentic AI adoption briefing for one contracted workflow.

LSA Digital's approach is to start with bounded work, visible evidence, and human accountability. Public claims should reflect pilot evidence as it is established, not assume results before deployment.