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Smarter AI Risk Management for Faster AI Adoption

Apply the right level of scrutiny to each AI use case with embedded risk intelligence, so low-risk AI moves fast and high-risk systems get the deeper assessment they need.
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What Is AI Risk and Impact Management?

AI risk and impact management is the process of identifying potential harms, regulatory exposure, and stakeholder impact associated with AI use cases, then applying mitigations proportionate to risk. Unlike traditional risk management, it must account for dynamic behavior, third-party dependencies, evolving regulations, and context-specific impacts, keeping AI decisions consistent, defensible, and aligned as systems and expectations change.

The AI Risk Problem

As AI use expands, risk decisions become harder to manage:
  • Risk assessments vary by team, product, or reviewer
  • Impact assessments are inconsistent or undocumented
  • Mitigations are identified but not tracked
  • Third-party AI introduces opaque and shifting risk profiles
  • Governance teams can't prioritize where risk is highest
Without a structured approach, AI risk management becomes subjective and slow, forcing teams to over-review low-risk use cases while missing where deeper scrutiny is needed.

How Trustible Helps You Manage AI Risk and Impact

Embedded Risk and Impact Assessments

Trustible builds risk and impact assessments directly into intake, periodic reviews, and substantial modifications. Structured prompts and automated guidance help reviewers focus on the most relevant risks and stakeholder impacts at each stage.

AI Risk Taxonomies with Expert-Curated Intelligence

Trustible’s AI Risk Taxonomies encode deep governance expertise into every assessment. Each risk includes plain-language definitions, measurement guidance, mitigation options, and links to relevant incidents and research, so reviewers don’t need to be AI governance experts to make sound decisions.

Inherent and Residual Risk Clarity

Trustible evaluates inherent and residual risk together, making it clear how risk changes as mitigations are applied. Teams can quickly compare use cases and determine where additional controls are warranted.

Risk Registers Grounded in Real Use

Trustible maintains AI risks in a centralized register tied directly to specific use cases, vendors, and models, providing a living view of current risk posture and mitigation status.

Intelligence That Adapts as Expectations Change

Expand risk coverage and deliver executive reporting.

Platform Capabilities Supporting AI Risk and Impact

Risk Management

Centralized AI risk register with inherent and residual risk, showing how mitigations reduce exposure across use cases, models, and vendors.

Insights Taxonomies

Expert-curated intelligence on AI risks, mitigations, benefits, and incidents, including guidance on how risks are defined, measured, and addressed.

Workflows

Embed risk and impact assessments directly into intake, periodic reviews, and material changes, with clear orchestration of reviewers and decision-makers.

Customization Center

Configure risk ratings, scoring logic, rules, and automations to reflect your organization's risk appetite and operating model.

Policy Management

Connect risk decisions to internal AI policies so expectations are consistently applied.

Reporting & Dashboards

Real-time visibility into AI risk posture, mitigation status, and review outcomes for governance leaders, executives, and boards.

Measurable Outcomes for AI Risk Management

Organizations using Trustible for AI risk management see a 60% reduction in governance cycle times, approve 4X more AI use cases by applying proportionate oversight, and maintain 100% audit-ready documentation for every risk decision.
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Your First 90 Days of Smarter AI Risk Management

30 Days

60 Days

90 Days

Day 30: Establish Risk Clarity

Standardize AI risk assessments with automated risk categories and ratings.

Day 60: Operationalize Mitigation

Embed risk intelligence into workflows and apply mitigation guidance.

Day 90: Scale with Confidence

Expand risk coverage and deliver executive reporting.

AI Risk Management FAQs

How does Trustible support AI impact assessments?
Structured impact assessments are embedded into governance workflows, guided by expert taxonomies that reflect evolving regulatory and stakeholder expectations.
Yes. Risk categories, scoring, and mitigations can be configured to align with internal policies and risk tolerance.
Trustible’s risk and mitigation intelligence is refreshed as new regulations, standards, and real-world incidents emerge, so assessments stay current without manual rework.
AI risk management must account for challenges unique to AI systems: dynamic model behavior, opacity in third-party AI, rapidly changing regulations, and context-dependent impacts on different stakeholder groups. Trustible is built specifically for these challenges.