Inventory gaps
Models nobody listed
Vendor scoring, a screening match engine, a retrained fraud model and three new AI agents. Each one makes decisions. Not all of them are in the inventory with an owner and a risk tier.
Risk and Governance squad
Riya Intel — Director AI Governance & Model Risk
AI model risk analyst for every live model
Riya Intel — Director AI Governance & Model RiskRiya Intel is an AI agent that keeps your model inventory current, watches every production model for drift and bias, and records each version comparison and rollback. She prepares model risk reports for SR 11-7, PRA SS1/23 and EU AI Act reviews, and your model risk team signs them off.
Riya Intel
Drift check: fraud scoring model
IllustrativeFlagged for review
Drift · medium
Flag explained
“Score distribution shifted for new-to-bank customers since last release.”
Job description
What Riya Intel does Job description
Riya Intel is a Director AI Governance & Model Risk. She keeps the inventory, watches the models in production and prepares the documentation your validators and model risk committee review.
AI AGENT · RISK AND GOVERNANCE SQUAD
RIYA INTEL
Director AI Governance & Model Risk
REPORTS TO
Your Head of Model Risk or CRO
WORKS WITH
Your model registry, scoring systems, data pipelines and every FluxForce agent you run
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Keep a model inventory with owner, purpose, version, data sources and risk tier for each model, AI agents included
02Watch production models for drift and bias, and flag changes to the model owner
03Compare model versions on the same data and record the results
04Keep rollback records: what changed, who approved it and when
05Prepare model risk reports for your validators and model risk committee to sign off
AUTONOMY MODEL
LOWMEDIUMHIGH
Low risk
Can log routine monitoring results, if you allow it
Medium risk
Goes to the model owner by default
High risk
Always goes to your model risk lead
You set the threshold per rule.
Kill switch: Turn Riya off at any time
Options
How the options compare
| CRITERIA | Spreadsheet inventory | MLOps monitoring tool | Riya Intel |
|---|---|---|---|
| Inventory upkeep | Manual, before each committee | Models it deploys only | Models, vendor models and AI agents, as they change |
| Who signs off | Model risk committee | Engineering | Validators and committee, from Riya's drafts |
| Drift and bias watch | At periodic review | Technical drift metrics | Drift and bias tied to owners and risk tier |
| Regulatory reporting | Written by hand | Not included | Drafts mapped to SR 11-7, PRA SS1/23 and EU AI Act |
| Version and rollback history | Scattered | Deployment logs | Comparison results, approver and rollback record |
| Where it's weaker | Out of date between meetings | Built for engineers, light on examiner evidence | She monitors and documents. Independent validation still needs your validators |
Works best with
AI agents that work best with Riya Intel
Riya governs the models. These agents test them, run them and set the rules around them.
THREAT
Stella Simulant
Senior AI Staging & Simulation Lead
Generates synthetic scenarios so Riya can compare model versions without production data.
Meet StellaTHREAT
Aiden Flux
Senior AI Fraud Risk Analyst
Runs a fraud scoring model that sits in Riya's inventory and monitoring.
Meet AidenRISK AND GOVERNANCE
Zara Trustwell
Director AI Regulatory Compliance
Maps the model risk obligations Riya reports against.
Meet Zara
Thoughts that matter
Insights on AI agents, financial crime and compliance
What we're learning about AML, fraud and the evidence examiners ask for.
Best AML Software in 2026: An Honest Comparison for Banks and Fintechs
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goAML Registration and STR Filing in the UAE: A Step-by-Step Guide for Reporting Entities
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Transaction Monitoring Software: UAE Acceptance Checklist
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PEP and Sanctions Screening: What the MLRO Owns
Read More
Session Risk Scoring: Continuous Authentication for Banks
Read More
Impossible Travel Detection in Banking: How It Works
Read More
Questions? We Have Answers
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Frequently Asked Questions
Still have questions?
Talk to the people who build the agents. We'll answer per capability, yes or no.
An AI model risk analyst keeps the model inventory, monitors models in production and prepares the documentation model risk teams review. Riya Intel tracks every model and AI agent with its owner, version and risk tier, flags drift and bias, and drafts reports for your validators and committee.
Riya monitors and documents. Independent validation stays with your validators, and SR 11-7 expects that independence. She gives them inventory, monitoring results and version comparisons to work from. A kill switch turns her off without touching your models.
Yes. Every FluxForce agent you run sits in the same inventory as your other models, with its owner, version history, monitoring results and full decision explanations. Retrained agent models are approved by a person before release.
SR 11-7 in the US, PRA SS1/23 in the UK and the EU AI Act's high-risk categories for credit scoring and life and health insurance pricing. Your model risk team decides how each one applies to your institution.
Riya inventories and monitors a set of your production models and drafts a report, but nothing changes in your models or releases. You compare her findings with your last validation cycle and decide what to switch on.
Access to your model registry, scoring outputs, input data and outcomes, plus past validation reports. Customer segment fields let her run bias checks on the groups you choose.
FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.