Public Sector2025-12-101 min read
Public-sector AI readiness: what buyers ask about AI platforms
A field guide to controls, evidence, and procurement workflows for government and regulated buyers.
title: "Public-sector AI readiness: what buyers ask about AI platforms"
description: "A field guide to controls, evidence, and procurement workflows for government and regulated buyers."
date: "2025-12-10"
tags: "Public Sector, Compliance"
Public-sector AI readiness: what buyers ask about AI platforms
A field guide to controls, evidence, and procurement workflows for government and regulated buyers.
Why this matters
Enterprise adoption requires controls, evidence, and repeatability—not just model capability.
What to implement (platform primitives)
- Policy enforcement at run time and tool-call time
- Immutable run logs with deterministic replay
- Budget caps and approvals for high-cost operations
- Evidence export for procurement, security, and audits
A practical checklist
- Define control objectives per workflow (approval gates, data boundaries)
- Capture evidence automatically (who/what/why/when)
- Make replay deterministic (inputs, tools, outputs, costs)
- Operationalize with dashboards (SLOs, tracing, burn-rate alerts)
Next steps
- Request pilot access to see governed autonomy in a real workflow.
- Review the Trust Center for control mappings and evidence exports.
Related insights
View all →auditability2026-01-18
Audit Evidence and Lineage for LLM Agents
How to generate audit-ready evidence from agent runs—tool call lineage, approvals, and replayability.
security2026-01-12
Security Posture for Agent Platforms
Threat model, isolation boundaries, key management, and safe tool execution for multi-tenant agentic systems.
governance2026-01-05
Enterprise AI Governance Basics
A practical governance baseline for agentic AI: policies, approvals, audits, and risk controls.
security2026-01-25
Tooling Catalog and Blast Radius Control
Treat tools as product surface area—documented schemas, permissions, and safe defaults.
security2026-01-22
Data Minimization for Agentic AI
Reduce data exposure while improving reliability—scoped retrieval, redaction, and least-privilege connectors.
Governance2026-01-12
Governance-First Agentic AI: A Practical Blueprint
A step-by-step blueprint for governed agents: policy gates, audit evidence, risk controls, and enterprise deployment patterns.