Data Tiles
Part of the Active Governance Framework

How to Govern AI at the Point of Decision

Make every AI-supported decision explainable, accountable and policy-compliant in the moment.

DATA TILES GUIDE·6 min read·For CDO, CIO, COO·Active Governance
Why this matters

AI decisions made without policy enforcement, explainability and accountability cannot be trusted by the business or defended to regulators.

The challenge
  • · AI acts faster than governance can review.
  • · No audit trail of what the AI saw, did and why.
  • · No clear human owner of AI decisions.
What good looks like
  • Every AI decision carries explanation, policy compliance and a named owner.
  • Governance enforces policy at the moment of decision.
  • Audit is continuous and defensible.
The Data Tiles framework
  1. Stage 1

    Capture

    Capture the decision context: data, policy, intent, action.

    What to do

    Instrument the AI runtime to capture context.

    Where it gets stuck

    AI runtimes are black boxes.

    How Lenz helps

    Lenz captures decision context by default.

  2. Stage 2

    Enforce

    Enforce policy at the moment of decision.

    What to do

    Wire governance signals into the runtime.

    Where it gets stuck

    No bridge from catalog to runtime.

    How Lenz helps

    Lenz enforces policy at runtime.

  3. Stage 3

    Explain

    Make every decision explainable.

    What to do

    Attach human-readable reasoning to every decision.

    Where it gets stuck

    Explainability bolted on late.

    How Lenz helps

    Lenz attaches reasoning to every AI decision.

  4. Stage 4

    Account

    Attach a named human owner to every AI decision.

    What to do

    Define decision ownership before deployment.

    Where it gets stuck

    No ownership model for AI decisions.

    How Lenz helps

    Lenz attaches the human owner to every AI action.

Practical roadmap
First 30 days
  • · Pick one AI use case to govern actively first.
  • · Define the policy, owner and decision instrumentation.
Next 60 days
  • · Deploy Lenz against that use case.
  • · Run the first audit.
Next 90 days
  • · Scale to additional high-value AI use cases.
  • · Standardize the active-governance pattern.
Prioritize
  • · Regulated decisions.
  • · Customer-facing AI.
  • · High-value AI use cases.
Avoid
  • · Treating governance as a checkbox before launch.
  • · Ignoring the data layer.
Common mistakes
  • · Deploying AI without runtime governance.
  • · Treating explainability as a model property only.
  • · Failing to assign human owners.
How Data Tiles helps

Lenz brings governance, explainability and accountability to the point of decision. Latttice ensures the underlying data carries the signals Lenz needs to enforce.

How Latttice enables this
StageChallengeCapabilityBusiness outcome
DiscoverTeams cannot find or trust the data behind AI decisions.Latttice publishes data products with business meaning, ownership and trust signals attached.Faster reuse, less duplication, fewer escalations.
BuildBuilding AI decisions repeatably without replatforming.Latttice industrializes data product build on top of the existing stack.Lower cost to build and operate, faster time to value.
GovernGovernance lags behind delivery.Latttice attaches quality, lineage, ownership and policy signals to every data product.Active governance without a manual review bottleneck.
OperateOwnership defaults to IT after launch.Latttice gives business owners the controls they need to take real accountability.Sustained business ownership and trust over time.
How Lenz enables this
AI requirementCapabilityGovernance benefitBusiness outcome
Explainability for the point of decisionLenz captures decision context and explains the reasoning behind every AI-supported action.Auditable, defensible decisions.Confidence to deploy AI on real decisions.
Policy enforcement at runtimeLenz applies governance signals from Latttice as policy at the point of decision.Active enforcement, not after-the-fact review.Risk is managed in the moment, not the audit.
Accountability for AI decisionsLenz attaches the named human owner and the decision instrumentation to every AI action.Clear ownership of AI outcomes.AI is adoptable by the business, not just the lab.
Executive checklist
  • Every AI decision is explainable.
  • Every AI decision has a named human owner.
  • Policy is enforced at the moment of decision.
  • Audit is continuous and defensible.

Want help applying this guide?

We help executives sequence the work, prove value on a priority decision and scale with Latttice and Lenz where it matters.