Workflow Audit

A Workflow Audit helps an agency understand how work actually moves before introducing new technology, automation, or artificial intelligence.

The purpose is not to criticize staff. The purpose is to identify where requests slow down, where information gets lost, where duplication occurs, and where accountability becomes unclear.

Area Questions to Ask
Intake How do requests enter the organization?
Classification How are requests categorized, prioritized, and assigned?
Records Sources Where does the information needed to complete the work live?
Custodians Who owns, maintains, or approves the information?
Handoffs Where does work move from one person, team, or system to another?
Search Process How do staff locate records, policies, procedures, and prior responses?
Approval Process Who reviews, approves, escalates, or closes work?
Communication How are updates shared with requesters, staff, leadership, or external parties?
Documentation What evidence shows what happened, who acted, and why?

A workflow audit often reveals patterns such as:

  • Requests arriving through multiple channels without a consistent intake process
  • Staff relying on memory, email history, or informal knowledge to locate information
  • Records stored across shared drives, inboxes, filing systems, and individual computers
  • Inconsistent naming conventions and unclear ownership of source materials
  • Repeated questions creating unnecessary workload
  • Missing escalation rules for sensitive, overdue, or complex requests
  • Limited visibility into request status, response time, and bottlenecks
  • Incomplete documentation of decisions and handoffs

A workflow cannot be responsibly automated until the organization understands:

  • What the work is
  • Who performs it
  • What information supports it
  • Where judgment is required
  • What must remain under human review
  • What evidence must be retained

OKF Expert helps agencies turn workflow findings into structured, reusable knowledge that can support:

  • Better staff training
  • More consistent responses
  • Searchable policy and procedure libraries
  • Clearer handoffs
  • Improved governance
  • Responsible AI assistant use
  • case_studies/workflow_audit.txt
  • Last modified: 2026/06/26 05:19
  • by leonidas