01
Find the models behind the work.
Bring source signals into one candidate queue. Discover potential models and AI usages across your approved technical environment.
MODEL & AI RISK. GROUNDED IN EVIDENCE.
You can’t govern
what you
can’t see.
Bring your models, AI usages, and source evidence into focus. A clearer inventory. A traceable decision. A more informed next step.
Built for financial institutions. Human judgment stays in control.
E23 ATLAS / DISCOVERYILLUSTRATIVE VIEW
CONNECTED INTELLIGENCE
Your model landscape
◇Azure DevOpsSource code
m↗MLflowModel registry
✳Azure AIAI services
▧MODEL
Credit decision
model
Version 2.4
USAGE 01Mortgage
underwriting
underwriting
USAGE 02Portfolio
assessment
assessment
A version changed.
ReviewSee the evidence before deciding what’s next.
Read-only source connectionsSource → evidence → decision
From scattered signals to a connected view.01 / 04
Start where your
models already live.
◇ Azure DevOpsm↗ MLflow✳ Azure AI
Read-only discoverywithin approved scopes
THE INVENTORY IS ONLY THE BEGINNING
A connected picture.
A defensible decision.
Move from periodic snapshots to evidence-backed discovery and review. Understand what you have, where it is used, and what has changed.
02
Give every record a clear context.
Connect models, versions, usages, owners, and dependencies. Keep the evidence and decision history close to the governed facts.
03
Make change a reviewable event.
Surface mismatches and source changes with exact comparisons. Route a human decision to update, investigate, or request reassessment.
FROM SOURCE TO GOVERNED FACT
Evidence connects the dots.
People make the call.
Explore the path from a technical signal to a governed record—and back again when something changes.
01 / DISCOVER
Start with what is actually in use.
Read approved metadata from source repositories, model registries, and cloud AI services. Bring the signals together without writing back to your source systems.
A signal is a starting point, not an inventory decision.
MLflow RegistryEXAMPLE
Credit decision model
Candidate discoveredLINKED SOURCE FACT
Registered model · source version 2.4
02 / VERIFY
Put evidence in front of a person.
Inspect source facts, compare candidate details, and resolve ownership. AI can propose a brief; an authorized reviewer decides what belongs in the governed inventory.
The original evidence stays linked to the decision.
Candidate reviewEXAMPLE
Credit decision model
Human review requiredLINKED SOURCE FACT
Owner confirmation · versioned source reference
03 / GOVERN
Keep the model and its uses distinct.
Maintain separate model, version, and usage records. Apply your institution’s risk methodology and approval authority, with a record of who decided what and why.
Identification does not automatically approve a risk rating.
Governed inventoryEXAMPLE
Credit decision model
Identified · pending ratingLINKED SOURCE FACT
Model → version 2.4 → mortgage underwriting
04 / RECONCILE
See the change. Review the consequence.
Compare complete source snapshots with governed facts. Review exact before-and-after evidence, affected models and usages, then choose the appropriate action.
A source change never silently overwrites a governed record.
Change reviewEXAMPLE
Credit decision model
Version mismatchLINKED SOURCE FACT
Governed version 2.4 → observed version 2.5
DESIGNED AROUND YOUR TRUST BOUNDARIES
Your institution.
Your policies.
Your decisions.
Governance infrastructure should fit the way a financial institution manages risk. Atlas keeps authority, source access, and evidence handling explicit.
Download the product overviewHuman authority, by design.
AI proposes. Authorized people approve consequential governance decisions, under your institution’s methodology.
A traceable path to the source.
Retain source versions, provenance, and decision history. Investigate the evidence behind a record or a change.
Boundaries that stay boundaries.
Read-only technical discovery, tenant-isolated architecture, and authorization before search results or evidence are disclosed.
A PRACTICAL FIRST STEP
Start with a clearer
view of what’s there.
Explore a focused discovery and inventory evaluation.
Bring your model-risk team, a source scope, and the questions you need to answer.
YOUR EVALUATION STARTING POINT
- 01Define an approved source scope.
- 02Review candidates and their evidence.
- 03Reconcile against your current inventory.
- 04Agree the next governance action.
Built to complement your existing MRM and GRC process.
A FEW THINGS WORTH KNOWING
Clear answers.
Clear boundaries.
Does Atlas replace our existing GRC or MRM system?
It can complement your current tooling. Start with discovery, candidate review, and evidence-backed inventory reconciliation, using reviewed imports and exports to support your existing governance process.
Does AI make governance decisions?
No. AI can propose evidence-backed candidate briefs. Authorized people remain responsible for consequential identification, risk approval, and inventory decisions. Source evidence and human dispositions stay linked.
Which technical sources are supported?
Read-only adapters cover Azure DevOps, GitHub and Gitea source repositories; MLflow and Databricks Unity Catalog model registries; Azure AI services, Azure AI Foundry and Copilot Studio agents and Entra enterprise apps; SharePoint and OneDrive; spreadsheets; and ServiceNow, Confluence and procurement exports. Each connection is limited to an explicitly approved scope. They have been tested only against local synthetic data and fake servers, and customer use needs your institution’s approvals.
Does Atlas cover more than E-23?
Optional modules record third-party arrangements (B-10), critical operations and resilience (E-21 section 3) and technology risk (B-13), and link back to the models they affect. They are off by default and are not a full operational-risk or compliance programme.
Is there a French interface?
A Canadian French interface and French notification templates exist as a machine-assisted draft. A native francophone reviewer must review the text before any customer uses it.
Can this establish E-23 compliance?
Atlas supports model governance and preparation for review. It does not certify compliance or replace your institution’s interpretation, policies, controls, and regulatory judgment.