Trusted metric control for AI analytics

Stop letting every dashboard tell a different truth.

MetricCanon gives BI, Finance, and Revenue teams one approved control layer for metric definitions, SQL logic, ownership, approvals, and AI access.

Start with 25 executive metrics See the system
1 source for approved logic
0 drift between reports and AI
Every change owned, reviewed, versioned
Approved for executive reporting Revenue Metrics

Active Customer

Customer account with an active paid subscription and no cancellation before the reporting date.

Approved Finance owned Version 14 MCP enabled

Business Definition

Used for executive reporting, board decks, and AI answers involving active customer count.

Conflict Detected

Sales dashboard uses a different customer definition in 3 views. Review required before publishing.

SELECT
   COUNT(DISTINCT account_id) AS active_customer_count
FROM billing.subscriptions
WHERE subscription_status = 'active'
   AND cancel_dt IS NULL
   AND report_dt = :report_date;

AI answer gate

Approved SQL onlyOn
Owner requiredOn
Version historyOn
Unapproved logic blockedOn

The dashboard is not the problem. The logic underneath it is.

Most companies have BI tools, dashboards, and data warehouses. What they do not have is a controlled system for deciding which metric logic is official.

Executives see conflicting numbers.

Sales, Finance, CS, and Marketing report the same metric with different SQL, filters, grains, and date logic.

Analysts defend definitions.

Time gets spent explaining why reports disagree instead of improving the business decision.

AI makes the risk louder.

Once AI can query data, unapproved logic can spread faster than a dashboard ever could.

A control layer before metrics reach dashboards, decks, and AI.

MetricCanon does not replace Tableau, Power BI, dbt, Cube, or the warehouse. It governs which business logic is official and which tools are allowed to use it.

1 Register the metric

Capture the business definition, approved SQL, grain, filters, owner, source tables, caveats, and reporting status.

2 Approve the logic

Changes move through draft, review, approved, and deprecated states with before/after history.

3 Expose it safely

Dashboards, reports, and MCP tools can use approved definitions while unapproved logic is flagged or blocked.

Without MetricCanon

  • No clear owner for metric logic
  • SQL copied across dashboards and reports
  • Metric changes happen without review
  • AI answers from whatever table it finds

With MetricCanon

  • Official definitions are owned and approved
  • Conflicts are visible before they hit leadership
  • Every change has history and accountability
  • AI answers only from approved business logic

Built for the teams that get blamed when the numbers do not match.

The first customer is a BI or revenue operations team that already has dashboards, but still has metric disputes in leadership meetings.

BI leaders

Give analysts an approved metric registry, change workflow, SQL validation, and a way to explain logic without tribal knowledge.

Finance and RevOps

Align revenue, customer, pipeline, conversion, CAC, retention, and churn definitions across operating teams.

Executives

Know which numbers are official, which reports use approved logic, and whether AI is allowed to answer from them.

“Your BI team already has the numbers. MetricCanon makes sure everyone knows which numbers are official.”

Pilot wedge

Start with the top 25 executive metrics.

Load the metrics that cause the most disputes. Assign owners. Approve the SQL. Track changes. Flag conflicts. Give AI access only to the official logic.

Discuss a pilot
  • Metric definitions and ownership
  • SQL logic and version history
  • Approval workflow and audit trail
  • Conflict detection across reports
  • MCP access for governed AI answers