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Many experts in the finance sector are searching for the best generative AI platform to help manage risk and compliance for their organization. A report released by Drata in 2025 states that compliance costs have risen by 45% over the past 10 years, with an annual regulatory change volume increase of 10%.
Organizations need a solution to mitigate these rising costs, but what elements should be on your checklist for generative AI tools? Read on to see which features your organization might consider essential when adopting and scaling a new platform.

What Should GRC Professionals Demand?
There are certain aspects that every compliance team requires from the best generative AI platforms for them to effectively streamline operational processes.
Some of the aspects your team should consider when implementing a new AI-driven compliance management system includes whether the platform is right for the domain in which you operate, whether it can conduct automated assessments and monitor regulatory changes, as well as make updates to relevant policies and procedures.
Domain Specific Training
The platform that you invest in should be trained on the relevant regulatory framework that your organization has an obligation to. This helps to ensure that your team is meeting compliance requirements specific to their sector and domain, as well as observing industry standards.
For example, general internet sources will not provide the necessary context and up-to-date information required for those in financial services who are, for example, following US federal and state banking regulations.
How This Affects Your Organization:
- Generic AI tools provide generalized advice that may not align with your specific regulatory obligations
- Purpose-built GRC AI reduces compliance violations by ensuring recommendations are grounded in actual regulatory requirements
- Industry-specific training prevents costly mistakes from applying guidance meant for other sectors
- Your team gains access to AI trained on the exact regulations you’re subject to, not broad internet data
Automated Regulatory Monitoring
Rather than periodically monitoring regulatory changes, your team should invest in a platform that helps your organization monitor regulatory changes continuously. This automated process mitigates the use of team resources.
Traditionally, manual steps were taken to investigate potentially applicable regulatory changes, resulting in delays, the risk of outdated information, and resource-intensive work that overlaps with time dedicated to other responsibilities. The automated monitoring process frees compliance experts to make strategic decisions using this data instead.
How This Affects Your Organization:
- Nearly half of GRC professionals currently struggle to keep pace with regulatory changes
- Manual monitoring consumes an average of 14 hours per week per compliance officer
- AI-powered scanning detects regulatory changes 20x faster than manual methods, freeing staff for strategic work
- Automated impact assessment immediately shows which policies, controls, and procedures require updating
- Your organization avoids the compliance gaps that emerge when regulatory changes go unnoticed
Policy and Procedure Management
When investing in new AI-driven GRC technology, your organization should look for a platform that can manage policy and procedure in the following ways:
- Drafting new policy document based on regulatory requirements
- Analyzing existing policies to identify potential gaps or inconsistencies
- Generating policy updates with recommendations and regulatory citations
Integrating an AI assistant into your platform is another way to assist different teams in understanding complex regulatory language and help them create actionable policies.
LLMs should be able to do the following:
- Maintain version control
- Track policy changes
- Create audit trails
How This Affects Your Organization:
- Policy development currently consumes hundreds of hours annually across your compliance team
- AI-generated drafts provide 80%+ complete policy documents aligned with regulations, reducing drafting time by 70%
- Automated gap analysis identifies outdated provisions before regulators discover them during examinations
- Policy updates can now be generated in hours rather than weeks, enabling faster regulatory response
Automated Risk Assessments
The best generative AI platforms will allow your team to input historical data to be analyzed for the software to highlight incident patterns and identify future potential risks before they emerge.
A good platform is also capable of analyzing regulatory documents to suggest relevant risks and controls. This approach leaves organizations less susceptible to threats that may materialize between assessment cycles.
How This Affects Your Organization:
- Traditional annual risk assessments leave organizations vulnerable to emerging threats materializing between cycles
- AI-powered predictive analytics identify emerging risks before they manifest, enabling proactive mitigation
- Risk identification from new regulations is automated, reducing the 20-30 hours typically required per major rule change
- Integration of internal KRIs with external market data provides context for benchmarking against peers
Recommend Solutions
Certain solutions are better equipped than others to serve organizations in the finance industry. The Predict360 platform and the integration with Ask Kaia are specially designed to monitor and manage risk and compliance.
See our overview of these generative AI solutions and how they can benefit your organization below:
| GRC AI Criteria | Predict360 | Ask Kaia |
|---|---|---|
| Domain-Specific Training | Offers financial industry regulations, risks, KRIs, and KPIs with embedded AI companion Kaia | Trained on US federal and state banking regulations |
| Automated Regulatory Monitoring | AI-powered monitoring of regulatory changes with automated impact assessment on policies and procedures | Analyzes new regulatory documents to identify applicability and compliance requirements |
| Policy and Procedure Management | Drafts new policies, reviews existing policies for gaps, generates updates with regulatory citations, maintains version control | Creates new policy documents from scratch, analyzes existing policies vs. current regulations, exports to Word format |
| Automated Assessments | Auto-suggests risks and controls from regulations | Reviews regulations and suggests applicable risks and controls |
| Audit Trail Transparency | Comprehensive audit trails of all AI interactions, recommendations include clear reasoning and regulatory citations | Every response includes specific regulatory citations, traceable to authoritative sources |
What Sets Us Apart?
Predict360 and Ask Kaia are the best in next generation GRC technology. These tools meet the requirements outlined above, having specifically been developed for the financial sector, specializing in risk and compliance management.
Your organization can transform compliance from an administrative burden into a source of strategic advantage by integrating these platforms into your compliance management framework.
Request a demo or get in contact with our team to learn more.
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