Metric Definition & Governance Agent
A metric definition & governance agent is an AI agent for people analytics & reporting that maintains the people-metric dictionary (what counts as headcount, attrition, regretted, internal mobility, time-to-fill), detects when a report or dashboard uses a conflicting definition, and drafts definition changes and their impact when the business asks for a new cut.
How does the metric definition & governance agent work?
What flows in, what the agent does with it, where a person decides, and what comes out.
Reads from
Existing metric definitions · Dashboard and deck inventory · Report and dashboard logic · Finance definitions
AI agent · runs when a new metric cut is requested or a conflict is found
Metric Definition & Governance Agent
A person decides
Head of People Analytics and Finance approve each definition
Produces
Living metric dictionary · Definition-conflict report · Change proposals with impact
What does the metric definition & governance agent do?
Maintains the people-metric dictionary (what counts as headcount, attrition, regretted, internal mobility, time-to-fill), detects when a report or dashboard uses a conflicting definition, and drafts definition changes and their impact when the business asks for a new cut.
What does it produce?
A living metric dictionary, a conflict report across dashboards and decks, and draft change proposals with before-and-after numbers.
Who decides?
The Head of People Analytics (with Finance for cost and FTE metrics) decides definitions; the agent drafts, detects drift and documents impact.
What systems does the metric definition & governance agent connect to?
Examples of the kind of systems this agent would read from or write to, so you can picture it in your own stack. The actual set is whatever you run.
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BI
dashboard logic to scan
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Data warehouse
metric layer and lineage
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Documents
dictionary and decks
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Finance planning
FTE and cost definitions
What data does it need?
- existing metric definitions and report logic
- dashboard and deck inventory
- finance definitions for cost and FTE
How would you measure it?
definition conflicts found and resolved, quarterly; hours reconciling HR and Finance numbers, monthly; share of dashboards using dictionary definitions, quarterly
What does a first proof look like?
Give the agent the current dictionary, the SQL behind five main dashboards and last quarter's exec deck. It should find the conflicts the team already knows about, plus any it missed, then draft one change proposal with before-and-after numbers.
You'd call it working when
The conflict list is accurate and the proposal is one Finance would sign.
What usually goes wrong?
- Dictionary maintained but nobody reads it before building a dashboard
- Agent proposes definitions instead of documenting decisions
- Impact numbers computed on stale data
What are the guardrails?
- Drafts and detects; never changes a definition without sign-off
- Finance co-approves cost and FTE metrics
- Change history and approvers logged per definition
- Reads report logic only; no row-level personal data needed
What leaves your boundary is set per build; the inputs above are the ceiling, and where the model runs, what it retains, and the DPA are agreed with your security team before anything is connected.
Our read
Clearly valuable with real deployments behind it. Needs care on data and adoption.
Parts of this may exist in your current tools. The case for building is usually the join across systems, or your rules and language, that a suite feature cannot carry.
Where it sits in the order
Low sensitivity, and every other reporting agent depends on agreed definitions.
Is a Metric Definition & Governance Agent worth building for your function?
That depends on your numbers, your data, and what else is on the map for you. The strategy month works that out.
Thirty minutes. Bring the number this would move.