The RTJ Bridge - The Research Platform Created by the Publishers of The RiskTech Journal
The RTJ Bridge is an independent research platform delivering institutional-grade IRM market intelligence, vendor competitive assessments, and strategic risk technology analysis. Built by the analyst who created the Integrated Risk Management category at Gartner, The RTJ Bridge gives risk leaders, technology executives, and solution providers the same caliber of competitive intelligence that major analyst firms charge $25,000 to $50,000+ per year to access.
Subscribers to The RTJ Bridge receive full access to:
IRM50 OnWatch Vendor Assessments — Competitive analysis of leading IRM vendors as market events unfold, covering platform strategy shifts, M&A impact, earnings signals, and positioning changes.
Autonomous IRM and AI Governance Research — Original research on how agentic AI is reshaping risk management operating models, from production deployment patterns to the structural implications for vendor platforms and enterprise programs.
Analyst Firm and Market Critiques — Independent assessments of research from Gartner, Forrester, and other major analyst firms, viewed through the IRM Navigator Model to identify gaps, validate signals, and challenge conventional positioning.
Board Governance and Audit Committee Intelligence — Research on oversight effectiveness, emerging risk response gaps, audit committee workload challenges, and the disconnect between risk reporting and executive action.
M&A and Strategic Alliance Analysis — Same-week analysis of acquisitions, partnerships, and PE investment moves reshaping the IRM competitive landscape, with implications for buyers, vendors, and investors.
Regulatory, ESG, and Sustainability Risk — Research on how evolving regulatory frameworks (SEC cyber disclosure, EU CSRD/CSDDD, AI regulation) affect enterprise risk programs and technology requirements.
IRM Navigator™ Market Intelligence — Strategic previews and deep dives from the IRM Navigator Model, the only independent model built specifically to evaluate integrated risk management maturity and vendor alignment.
Cyber Risk, Insurance, and Third-Party Risk — Analysis of cyber risk quantification, insurance market dynamics, and the convergence of third-party risk management into enterprise IRM programs.
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The RTJ Bridge is an independent IRM research platform published by Wheelhouse Advisors. Subscribers receive ongoing access to vendor competitive assessments, AI disruption analysis, M&A and partnership impact research, and IRM Navigator™ market intelligence. This is the only research platform built and led by the analyst who created the Integrated Risk Management category, a market now valued at over $61 billion and projected to reach $133 billion by 2031.
Not All SaaS Is Equal: IRM50 AI Disruption Risk Index
The enterprise software market is pricing AI disruption risk as if all SaaS platforms face the same structural threat. They do not. AI disruption risk varies fundamentally across platform categories based on architectural role, and the market's failure to distinguish between them is producing systematic mispricing. The IRM50 AI Disruption Risk Index introduces a three-category framework that makes those distinctions explicit, and the implications for capital allocation are significant.
Agentic AI Moves From Hype to Operating Model: What Risk Leaders Must Do Now
EY’s newest global insight, “What Risk Leaders Need to Do Now About Agentic AI,” sets a clear challenge: organizations that treat agentic AI as another productivity initiative risk amplifying exposure, not mitigating it. The report argues that risk functions must now move beyond experimentation and build an enterprise operating model where autonomous and semi-autonomous agents can act safely, transparently, and in alignment with strategy.
This message reinforces a structural shift already underway in Integrated Risk Management (IRM). Wheelhouse Advisors’ Autonomous IRM model defines how these agentic systems should operate—not as isolated bots or chat interfaces, but as integrated decision engines that connect strategic intent, operational execution, and assurance validation.
Agentic Operational Risk: How AI Is Reshaping Control, Performance, and Resilience
Operational risk management is evolving from reactive oversight to intelligent orchestration. Agentic AI, systems that can plan, tool, and act with bounded autonomy, is at the center of this shift. These agents compress cycle times, expand control coverage, and deliver evidence with audit grade traceability. Within the IRM Navigator™ Model, they strengthen the connection between Performance and Resilience, the two objectives where ORM delivers the most tangible value.
Bridging the Divide: How ServiceNow’s AI Experience Could Unify TRM and IRM
ServiceNow’s latest innovation, AI Experience, introduces a unified conversational interface that could redefine how organizations manage risk. Far from being another “AI assistant,” this platform-level integration embeds natural language and multimodal intelligence across workflows, connecting Technology Risk Management (TRM) with Integrated Risk Management (IRM) in ways that make risk management feel less like a process and more like a conversation. This commentary explores how AI Experience extends ServiceNow’s TRM and IRM capabilities, why it represents a major shift toward unified risk intelligence, and how it aligns with the Performance, Resilience, Assurance, and Compliance (PRAC) objectives of the IRM Navigator™ Model.
The Strategic Blind Spot: Closing the Boardroom Gap in AI Risk Oversight
Our recent research on audit committees revealed a stark reality: boards are most concerned about oversight gaps in cybersecurity, privacy, and AI, yet few have the structures to address them effectively. The 2025 Audit Committee Survey Insights showed that nearly half of audit committees see AI oversight as an unresolved gap, while only a fraction claim primary responsibility. The conclusion was clear—AI has moved into the boardroom agenda, but governance has not caught up.
This companion note builds directly on that finding. Where the audit committee analysis highlighted AI as part of a broader oversight deficit, here we focus on AI risk oversight itself. Drawing on new data from Infosys’s global survey of 1,500 executives, we examine why AI oversight remains fragmented, how the gap manifests in practice, and what boards and senior executives must do to close it.
Agentic AI in Risk Management Consulting: A Field Report on the Road to Autonomous IRM
This field report builds on the IRM Navigator™ Vendor Compass for RMC (July 2025). While the Vendor Compass positioned consulting firms in terms of integration breadth and AI enablement, this follow-on examines how those claims are translating into field activity. It reflects a moment in time: as platforms mature and deployments expand, these placements will continue to evolve.