Banking & Financial ServicesLegal & Compliance
Model risk answers. Never off the record, never off the boundary.
Runs entirely inside your sovereign or private cloud environment and maps every answer to EU AI Act and SR 11-7 model risk requirements — every control mapping cited to the source document, produced in minutes instead of a manual evidence hunt across model documentation, validation reports, and policy binders.
15 cited fields per model file. Built on Sphere AI Foundry.
compliance_map — model #MRM-2291LIVE
00:00Ingest → model card + validation report, "credit-decision-v3"read
00:03Risk tiering → EU AI Act Annex III, high-risk credit scoringmapped
00:07SR 11-7 §III → ongoing monitoring plan not on fileflagged
00:10Human oversight → Art. 14 override procedure documentedpassed
00:12Determination → Partially compliant, 1 gapsealed
review time 14sfields cited 15/15human sign-off required
Organizations around the world trust us
Built on Sphere AI Foundry·Runs inside your private cloud boundary·21 years, 300+ clients
Model risk documentation doesn't scale, and it can't leave the building
Every model in the inventory needs its risk tier confirmed against EU AI Act Annex III and its controls mapped to SR 11-7 or OCC 2011-12 — validation reports, monitoring plans, override procedures, all cross-checked by hand. At a handful of models that's manageable with a spreadsheet. Across a full model inventory, with regulators expecting current mappings and no data leaving a sovereign or private cloud boundary, it becomes the bottleneck between a model going live and a model risk committee signing off.
90%
faster first-pass control mapping vs. a manual review
15
fields extracted & cited per model file
100%
of inference and evidence kept inside your boundary
Question in, cited determination out
Four steps, every one logged and citable back to the source model documentation — and every one of them running inside your own environment.
01
Ingest, in-boundary
Reads model files without leaving your cloud
Model cards, validation reports, monitoring plans, and policy documents read directly from your model risk inventory, GRC platform, or document repository — deployed inside your VPC or on-premises environment, not called out to a shared service.
Source document
credit-decision-v3 — Model Card & Validation Report
02
Map to controls
Every clause checked against the frameworks you're held to
Risk tier, human oversight provisions, data governance, and post-market monitoring — each checked against EU AI Act Annex III obligations and SR 11-7 / OCC 2011-12 model risk management guidance, not a generic AI ethics checklist.
Example query
"Does this model's monitoring plan satisfy SR 11-7 ongoing monitoring requirements?"
03
Cite every finding
No finding without a citation
Each control mapping, gap, or confirmation links back to the exact clause and page in the source model documentation — the citation travels with the finding, not as a separate lookup for the model risk officer.
Cited finding
Ongoing monitoring plan lacks a defined drift-triggered retraining threshold.
cited to p.22, Section 6: Ongoing Monitoring04
Classify & route
One determination, one consolidated gap list
The agent returns Compliant, Partially compliant, or Non-compliant, with a consolidated gap list routed to the model risk officer for sign-off before it reaches a committee packet or regulatory submission.
Determination
CompliantPartially compliant ✓Non-compliant
15 fields, every one cited
What the agent extracts and maps from every model file it reviews.
Determination summary & risk tier
EU AI Act Annex III classification
Model intended use & scope statement
Training data lineage & governance
SR 11-7 validation status check
Ongoing monitoring plan review
Human oversight & override procedure
Explainability & documentation adequacy
Consolidated gap & remediation list
Model risk committee reviewer report
Typical inputs
What the agent reads, and what it connects to — all inside your own environment.
Documents
- Model cards and technical documentation
- Independent validation reports and back-testing results
- Ongoing monitoring plans and performance dashboards
- AI Act conformity assessment and risk classification memos
- Internal model risk policy and governance framework
- Human oversight and override procedure documentation
Systems
- Model risk management (MRM) inventory platform
- GRC or policy management system
- Document repository or model documentation store
Is this the right fit?
Built for a live model inventory under regulatory scrutiny — not a one-off assessment.
✓ Works best for
- Banks and financial institutions with an active model inventory subject to SR 11-7 or EU AI Act obligations
- Model risk and compliance teams that cannot let inference or evidence leave a sovereign or private cloud boundary
- Operations wanting every control mapping traceable to source documentation
Too small for
- A single model assessment a compliance analyst can complete faster than configuring the mapping
- Replacing the model risk officer's judgment or final compliance sign-off
- Institutions with no formal model inventory or documented validation process to map against
Grounded in your regulatory framework, not a black box
Compliance-first, and it never crosses your sovereign boundary to get there — the same standard every Sphere agent is held to.
The agent requires complete model documentation before it will return a determination, and every mapping sits between your model validation process and the model risk committee decision — never past it. A model risk officer or compliance reviewer confirms every Compliant/Non-compliant determination before it reaches a committee packet or regulatory submission.
Findings reference EU AI Act, SR 11-7, OCC 2011-12, and ISO/IEC 42001 directly — see how the same governed, in-boundary standard applies across regulated deployments in Governed AI for Banks and Private LLM Deployment for Banks and Financial Institutions.
Prerequisites complete file
Complete model documentation and validation status confirmation required before a determination is returned.
Human review required
A model risk officer confirms every determination before it reaches a committee packet or regulatory submission — never fully autonomous.
Regulatory grounding EU AI Act & SR 11-7
Findings reference EU AI Act, SR 11-7, OCC 2011-12, and ISO/IEC 42001 directly in every reviewer report.
Foundation Sphere AI Foundry
Deployed entirely inside your sovereign or private cloud boundary; access controls and audit trail configured here carry forward to every other agent you deploy.
Frequently asked
Does the Sovereign AI Compliance Agent ever leave our private cloud boundary?
No. It's deployed entirely within your sovereign or private cloud environment — VPC, on-premises, or a dedicated tenant — and no model inventory data, control evidence, or inference traffic crosses that boundary. That's the deployment model, not a configuration option.
Which frameworks does it map to?
EU AI Act (including Annex III high-risk system obligations), Federal Reserve SR 11-7 and OCC 2011-12 model risk management guidance, and ISO/IEC 42001 are supported out of the box. Additional internal or jurisdictional frameworks can be added during onboarding.
Does the agent make the compliance determination on its own?
No. It maps evidence to controls and flags gaps, but a model risk officer or compliance reviewer confirms every determination before it goes into a regulatory submission or model risk committee packet.
Is every answer actually traceable to a source document?
Yes. Every control mapping, gap finding, and risk-tier determination cites the specific model documentation, validation report, or policy clause it was derived from — there is no answer without a citation back to the source.
How is this different from a generic GRC or compliance software tool?
It's built specifically around EU AI Act and SR 11-7 control language and the 15 fields a model risk inventory needs, not a general-purpose GRC checklist tool, and it runs entirely inside your sovereign boundary. It's built on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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Start here
See it on your own model inventory
Bring three real model files to the demo. We'll show the mapping output live — risk tier, control citations, and the consolidated gap list, on your own documentation, inside your own environment.
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