What is an AI use case inventory?
An AI use case inventory is a governed list of AI ideas, employee tools, workflow candidates, owners, data categories, risk tiers, vendor status, expected value, and approval decisions.
AI automation resource
AI Use Case Inventory Template
AI use case inventory template for tracking employee AI tools, workflow candidates, owners, data risk, approvals, vendors, status, ROI, and governance review.
Search intent
Business owners, IT leaders, operations teams, and governance reviewers collecting AI ideas, employee AI tools, workflow candidates, and risk signals before choosing pilots or writing policy.
An AI use case inventory turns scattered AI ideas and employee tool usage into a governed list. The inventory should track the workflow, owner, department, tool or vendor, data categories, customer exposure, action authority, risk tier, approval status, expected ROI, current stage, and the next governance decision.
Guide sections
A practical framework for the workflow decision.
These resources support buyers who are still comparing examples, controls, ROI, and implementation readiness.
Inventory fields
Capture the use case name, workflow, owner, department, users, source systems, trigger, output, frequency, and current manual pain.
Employee AI tools
Record public AI tools, unofficial tools, approved vendors, proposed agents, and shadow AI patterns that employees already use.
Model inventory
Track the models, agents, vendors, versions, data access, owners, status, evaluations, monitoring, and retirement plans behind each use case.
Owner and status
Assign business, technical, reviewer, security, vendor, and support owners plus a status such as idea, approved pilot, paused, or rejected.
Governance checklist
Route approved and high-risk use cases into policy, ownership, impact review, controls, evidence, monitoring, and incident readiness.
Candidate scoring
Score each use case by value, volume, manual effort, data readiness, approval risk, integration effort, and speed to proof.
Data categories
Flag customer, employee, health, financial, legal, credential, pricing, proprietary, public, and regulated data before tool access expands.
Impact assessment
Review who may be affected, what decisions change, which harms matter, and whether the use case needs controls before approval.
Risk tier
Classify whether the use case is low-risk drafting, internal analysis, customer-facing work, system-changing action, or blocked work.
Vendor review
Track vendor approval, data handling, subprocessors, model training terms, support access, procurement status, and renewal owner.
Approval boundary
Separate allowed AI preparation from review-required decisions, escalation paths, blocked actions, and permanent-record updates.
Roadmap decision
Turn the inventory into a roadmap: approve, prioritize, hold, redesign, procure, govern, or reject each candidate.
Checklist
What to confirm before moving from research to implementation.
A useful resource page should help the buyer make a better decision before they contact anyone.
- List every AI idea, employee AI tool, public AI tool, vendor proposal, workflow candidate, and existing AI-assisted process.
- Record the owner, department, users, source systems, output, frequency, current manual pain, and business reason for each use case.
- Classify data sensitivity, customer exposure, action authority, vendor access, compliance impact, and reversibility.
- Score value, readiness, approval risk, integration effort, support load, and speed to proof before choosing pilots.
- Mark status as idea, approved for discovery, approved pilot, vendor review, policy exception, paused, rejected, or live.
- Assign next actions, due dates, evidence needs, review owner, and the decision required before the use case can expand.
- Review the inventory before roadmap planning, policy updates, vendor approval, pilot launch, and quarterly governance reviews.
FAQ
Common use case inventory questions.
Short answers for teams researching AI workflow automation before choosing a pilot.
What should an AI use case inventory template include?
It should include use case name, owner, department, users, workflow, source systems, AI tool, data sensitivity, customer exposure, action authority, risk tier, expected ROI, status, and next review decision.
Why should a business create an AI use case inventory?
It helps the business see shadow AI, compare opportunities, avoid risky tool adoption, prioritize pilots, prepare governance reviews, and decide which workflows deserve implementation budget.
Next step
Turn the guide into a scoped workflow review.
We will help identify the workflow, approval boundary, data sources, and ROI model that make sense for a first pilot.