case_studies:public_sector_ai_implementation [OKF Expert]

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====== Public-Sector AI Implementation ======

Public-sector AI implementation should begin with mission needs, workflow clarity, governance, and responsible deployment practices.

The goal is not to add AI for its own sake.

The goal is to help agencies improve service delivery, staff productivity, knowledge access, accountability, and operational consistency without sacrificing public trust.

===== A Practical Implementation Path =====

^ Phase ^ Objective ^
| 1. Define the Problem | Identify a real operational, policy, service, or compliance challenge |
| 2. Audit the Workflow | Understand intake, records sources, handoffs, approvals, and bottlenecks |
| 3. Organize the Knowledge | Build structured, source-supported, governed knowledge bundles |
| 4. Identify Appropriate Use Cases | Select lower-risk, high-value opportunities |
| 5. Define Governance | Set ownership, AI-use rules, human review requirements, and escalation paths |
| 6. Pilot the Solution | Test with a controlled group, measurable goals, and clear boundaries |
| 7. Train the Workforce | Build staff confidence, policy awareness, and appropriate use habits |
| 8. Measure and Improve | Review results, identify risks, refine workflows, and expand only when justified |

===== Appropriate Early Use Cases =====

Examples of lower-risk starting points may include:

  * Internal policy and procedure search
  * Knowledge-base assistants
  * Drafting support with human review
  * Training and onboarding assistance
  * Classification and routing support
  * Document summarization
  * Internal research support
  * FAQ and customer-support knowledge access
  * Compliance checklist assistance
  * Controlled records-source discovery

===== Areas Requiring Greater Caution =====

Agencies should use heightened review for use cases involving:

  * Sensitive personal information
  * Legal determinations
  * Eligibility decisions
  * Enforcement actions
  * Employment decisions
  * Public benefits
  * Health information
  * Civil rights impacts
  * Public-facing decisions without human review

===== What OKF Expert Supports =====

OKF Expert helps agencies prepare and organize the knowledge, workflows, governance structures, and implementation foundations that make responsible AI adoption possible.

===== Related Pages =====

  * [[case_studies:workflow_audit|Workflow Audit]]
  * [[okf_bundles|OKF Bundles]]
  * [[knowledge_governance|Knowledge Governance]]
  * [[responsible_ai_readiness|Responsible AI Readiness]]
  * [[california_sb_dvbe_procurement_pathways|California SB/DVBE Procurement Pathways]]