Continuous Control & Insight
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Key Capabilities
Facilitate collaboration with self-service, role-based workflows
ModelOp provides role-based access and integrates directly with enterprise tools such as ServiceNow, Jira, Databricks, and PowerBI so business owners, AI teams, risk partners, and executives all work from the same system of record. This eliminates silos and enables ongoing reviews, shared visibility, and structured collaboration across the entire AI lifecycle.
Monitor AI & test for risks—bias, drift, performance, & more
Continuously evaluate AI systems for performance degradation, bias, drift, data quality issues, prompt vulnerabilities, and other emerging risks across ML, GenAI, and agentic systems. ModelOp helps organizations detect issues early, trigger the right tests and workflows, and ensure AI remains reliable and aligned with enterprise risk tolerances.
Stay audit-ready with defensible, regulator-grade reports
ModelOp automatically captures and records all lifecycle activity—including testing, monitoring, changes, reviews, approvals, evidence, and model cards—to produce comprehensive, regulator-grade audit trails. This ensures teams can respond to internal assurance, regulators, and governance committees with confidence and complete documentation.
Measure usage, throughput, & ROI across teams
Track usage patterns, model throughput, execution metrics, token consumption, and operational costs for every AI solution. ModelOp enables financial accountability and helps leaders understand which initiatives drive the most value, which require optimization, and where resources are being consumed across the portfolio.
Prioritize AI by value & enable informed executive decisions
Deliver portfolio-level dashboards that filter insights by business unit, geography, lifecycle stage, and risk tier—giving executives, CoEs, and governance committees the visibility they need to invest in high-impact initiatives, pause low-value ones, and strategically scale AI across the enterprise. ModelOp empowers leaders to align AI adoption with business strategy and measurable outcomes.
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