The Real Cost of a Static Model Inventory
SR 11-7 requires documented validation schedules, clear model ownership, and evidence of ongoing monitoring for every model in scope. At a bank with 40 or more models, that's a full-time governance program — not a spreadsheet. The gap shows up immediately when examiners pull model files: outdated risk ratings, missing validation dates, no audit trail of remediation. Findings don't just create remediation work; they consume the next exam cycle and erode examiner confidence in the program as a whole.
How an AI Agent Runs the Validation Program
An AI Labor Company agent integrates with your Workiva environment alongside iManage and Diligent document stores. It maintains a live, SR 11-7-compliant model inventory — pulling current ownership assignments, populating documentation links, and tracking validation due dates against each model's risk tier. As deadlines approach, the agent routes validation tasks to the correct model owner and escalates overdue items to the CMRO. Before an OCC exam, it generates a full model risk management status report ready for examiner review, with a complete paper trail. Teams in this position typically reduce inventory maintenance effort by 65–82% and are live with a working program in about 8 weeks.
What It's Worth to the Bank
The business case here is risk avoidance and examination credibility. A model risk finding in one exam cycle can drive a multi-year remediation plan, require third-party validation engagements, and limit the bank's ability to introduce new models without heightened scrutiny. An AI-driven inventory program eliminates the manual tracking labor, reduces the chance of a repeat finding, and positions the risk team to run a proactive program rather than a reactive one. At $40K–$120K per year for the agent, the alternative — a single formal remediation plan or a restricted-activities finding — typically costs far more in examiner time, outside counsel, and constrained model use.
Will this replace our existing Workiva model risk templates or require us to rebuild the inventory from scratch?
No. The agent is designed to work with your existing Workiva structure, mapping current fields and workflows rather than replacing them. It can ingest your existing Excel inventory to seed the initial model register, then maintain it going forward.
How does the agent handle models that have complex dependencies or are owned by lines of business outside the risk team?
The agent tracks ownership at the individual model level and can send targeted validation requests to LOB model owners via your existing document management tools. The CMRO sets approval thresholds — the agent routes, escalates, and documents; it doesn't override your governance structure.
How quickly can we expect to have a clean inventory ready for examiner review?
Most implementations are live and producing results in about 8 weeks. That includes ingesting your current inventory, configuring the Workiva integration, and running the first automated validation schedule cycle.