Practice

Four capabilities, delivered with senior depth.

TRION's practice is organized around four interlocking capabilities. Each is led by a partner-grade practitioner and delivered to the institution's specific regulatory, operational, and platform context. Engagements are scoped privately.


01 · Practice area

Third-Party Risk Management

Modern vendor ecosystems are larger, more interdependent, and more exposed than the methodologies most organizations use to govern them. We rebuild TPRM programs from the operating model up, calibrated to the institution's risk appetite and built to scale beyond the next regulatory exam.

What we engage on

  • Program design. Vendor tiering, inherent and residual risk models, evidence collection workflows, governance cadence.
  • Evidence-driven assessment. Methodologies that begin with the artifacts vendors already produce, replacing 300-item questionnaires that yield neither defensibility nor insight.
  • Fourth-party exposure. Sub-processor mapping and concentration analysis across the extended vendor graph.
  • Contract risk. Clause library development for security, privacy, AI, and operational resilience.
  • Continuous monitoring. Integration of external intelligence feeds with the risk register and remediation pipeline.

When institutions engage TRION

When the TPRM program is being stood up under regulatory pressure, when an existing program is no longer defensible to internal audit, or when vendor onboarding velocity has become a strategic constraint on the business.


02 · Practice area

GRC Platform Transformation

The platform of record for risk and compliance is rarely the bottleneck. Its configuration is. We lead ServiceNow GRC implementations, migrations, and rationalizations for institutions whose platform has grown beyond what the original implementation contemplated.

What we engage on

  • Module implementation. Policy & Compliance, Risk Management, Vendor Risk Management, Audit Management.
  • Policy and control library load. Mapped to ISO 27001, NIST CSF, SOC 2, PCI DSS, and institution-specific frameworks.
  • Migration from legacy GRC. Archer, OpenPages, and MetricStream, including data integrity validation and parallel-run cutover.
  • Rationalization. Consolidation of overlapping risk, compliance, and TPRM platforms; recovery of license spend.
  • Administrator handoff. Operating manuals, role design, and in-house enablement so the platform does not become consultant-dependent.

When institutions engage TRION

When the original implementation no longer reflects the operating model, when platform sprawl has produced redundant risk tooling, or when the institution requires a partner who can operate inside the platform rather than direct from above it.


03 · Practice area

AI & Algorithmic Governance

The governance frameworks for artificial intelligence (the EU AI Act, NIST AI RMF, and ISO/IEC 42001) arrived faster than most risk functions are equipped to absorb. We translate them into the artifacts, controls, and cadences a regulated institution actually needs.

What we engage on

  • Responsible AI policy. A defensible institutional position, aligned to applicable regulation and the institution's risk appetite.
  • AI inventory. Discovery and classification of internal models, vendor AI services, and embedded model dependencies.
  • Risk classification. Application of TRION's risk classification methodology across eight dimensions of model and system risk.
  • AI Governance Committee. Charter, membership, cadence, and decision-rights design.
  • Control library. Mapped to EU AI Act articles, NIST AI RMF functions, and ISO/IEC 42001 clauses, with evidence demands specified.
  • Model documentation. Model cards, evaluation templates, and red-team reporting standards.

When institutions engage TRION

When the board has asked the question and the answer is not yet written. When the use of generative AI inside the business has outpaced the institutional position on it. When a regulator has signaled forthcoming examination of AI governance.


04 · Practice area

Risk Architecture & Design

Most advisory engagements end at the recommendation. TRION's distinguishing capability is the artifact itself: the workflow, the data model, and the working prototype your engineering organization can build from. Risk Architecture is a discipline of designing for the operator, not for the slide.

What we engage on

  • Operator research. Embedded interviews with risk analysts, business-unit owners, and second-line operators to define what the artifact must do.
  • High-fidelity prototypes. Clickable Figma designs that an engineering organization can build from, accompanied by a design system.
  • Data model specification. Entities, relationships, states, and edge cases, written for engineering rather than for executive review.
  • Working MVP, on agreed scope. Where appropriate, a functional implementation in modern web technologies, owned and extended by the institution.

When institutions engage TRION

When existing platforms cannot accommodate the operating model the risk function requires. When build-versus-buy is the wrong frame and a third option is the right one: design what to build, then hand it to engineering.


Engagement

Engagements begin with a conversation.

Pricing and timeline are functions of scope, complexity, and the institution's existing maturity. We discuss both privately, after we understand what you are trying to accomplish.

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