The Total Economic Impact™ of MetricStream Enterprise GRC

See how enterprise GRC can benefit your organization in real ROI terms – based on the experiences of real customers, with this Forrester Total Economic Impact™ (TEI) Study.

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STUDY OVERVIEW

The Complete Picture

Based on interviews with MetricStream Enterprise GRC customers, Forrester Consulting examined how these organizations unified fragmented GRC data, streamlined compliance and audit workflows, and built a foundation for AI-driven risk management.

The resulting TEI study examines the potential return on investment (ROI) enterprises may realize by deploying Enterprise GRC to standardize governance, risk, and compliance across the organization.

Forrester aggregated the experiences of the 4 interviewed customers and combined the results into a single composite organization — a global $20B financial services firm with a blend of disparate GRC tools and significant manual workflows. By deploying Enterprise GRC, this organization eliminated GRC data silos, dramatically reduced time spent on reporting and data management, and materially improved the organization's compliance posture and regulatory relationships.

The composite organization achieved:

133%

ROI over three years with $4.8M net present value

$4.2M

in labor savings — automating manual GRC workflows and reporting

$2.3M

in technology savings from decommissioning legacy GRC tools

ADDITIONAL BENEFITS

The Full Impact

Beyond the numbers, MetricStream delivers transformative value
across your entire GRC ecosystem

20% reduction in the risk of regulatory violations and reputational damage, through proactive compliance management, faster remediation, and real-time visibility into risk posture across the enterprise.

Payback in under 6 months, with $8.4M in total quantified benefits realized over three years against $3.6M in costs.

Quarterly GRC reports reduced from weeks to 1–2 days, as centralized data eliminates the manual aggregation and reconciliation that once required hundreds of people over 2–3 weeks.

Risk register reduced by more than 50%, enabling GRC teams and leadership to focus on the risks that are truly material to the business rather than managing thousands of low-signal entries.

Foundation established for AI-driven GRC, with clean, structured, centralized data enabling exploratory AI use cases — including automated remediation recommendations, conversational policy search, and document ingestion for control development.