- Enterprise h2oGPTe retrieves the relevant sections of disclosures, prudential standards and codes, and answers with a citation your analyst can check.
- Typical questions cover risk-weighted assets and what changed, capital and liquidity ratios, and the obligations a new rule adds.
- Agents can go further: building a disclosure dashboard, drafting a gap analysis against a new standard, or producing a compliance monitoring report.
- Collections are private by default, and the assistant runs on premises, air-gapped, in a private cloud or in the cloud, so regulatory documents stay inside your environment.
The answer is in your documents, somewhere
Your risk and compliance analysts answer the same kinds of questions every week: what total risk-weighted assets are and why they moved, what a new standard requires, and what a code says about customers in financial difficulty.
The answers sit across disclosure reports, prudential standards, notices and internal policies, often hundreds of pages each. Finding the right paragraph and confirming it takes longer than writing the answer, and an answer without a source does not go to the executive committee.
How a regulatory reporting assistant works
Enterprise h2oGPTe is the platform for generative and agentic AI, and it answers from a collection of your own documents using retrieval-augmented generation.
Step 1: load your corpus
Add disclosure reports, prudential standards, regulator notices, industry codes and internal policies to a collection. Collections are private by default and shared with the users or groups you choose.
Step 2: ask in plain language
Your analyst asks a question the way they would ask a colleague.
Step 3: retrieve the right sections
Hybrid semantic search and full-text search find the passages that answer the question, including tables.
Step 4: answer with the source
The model writes a concise answer grounded in those passages, with citations, so the analyst can check every figure. This is grounded generation, and it limits hallucinations.
Step 5: let agents do the multi-step work
For a dashboard, a gap analysis or a monitoring report, an AI agent plans the steps, works across documents and data, and produces the file for your team to review.
Beyond a single answer: dashboards, gap analyses and monitoring
A cited answer is the starting point. The same retrieval grounds larger jobs too: a disclosure dashboard built from years of quarterly filings, a gap analysis that compares current practice with a new operational risk standard, or a report that scans internal processes and regulatory updates for compliance concerns.
Each of these stays a draft until a person signs off. An agent plans the steps and writes the file, and your compliance team reviews it, corrects it and owns the version that goes to the committee.
Where documents live
Enterprise h2oGPTe runs on premises, air-gapped, in a private cloud or in the cloud. You choose the model for each task, including open-weight models that run inside your network, so regulatory documents never have to leave the environment your policy sets.