Check the work
Bring the financial output, sources and assumptions together.
AI IN FINANCE
Put AI in finance to work through a reviewable decision process.
Research, forecasts and analysis can start in an LLM. Their use inside a financial institution also depends on data permissions, intended purpose, quantitative evaluation and named decision authority.
Start free. Upgrade when the work needs retained evidence, review controls and a shared paid workspace.
A GOVERNED FINANCE WORKFLOW
From AI output to a decision your institution can use.
Evaluate the model
Inspect the relevant Large Quantitative Model and its version.
Review and approve
Give the decision an owner, reviewer and retained record.
WHY FINANCEGPT
Make AI finance work usable beyond the chat.
Research and analysis
Keep the sources and assumptions behind an output identifiable so reviewers can understand what was used and what remains uncertain.
Models and evaluation
Use quantitative models appropriate to the task and retain the version and evaluation evidence relevant to the decision.
Institutional use
Define who reviews, who approves and what actions may follow. FinanceGPT provides workspaces for these activities; implementation must reflect the institution’s own policies.
PAID WORKSPACES
Keep the evidence, review and accountability with the work.
Start with one finance workflow. Move to a paid workspace when your team needs retained records, controlled access and repeatable reviews.
THE FINANCEGPT FAMILY
Start where the work starts. Govern it when it matters.
AI for finance, across your workflow.
Explore finance AI, AI in finance and AI for finance. For calculations, financial models and deliverables, use the finance AI tools in FinanceGPT Tools, including Build.
Put accountable AI finance work into production.
Start with a finance workflow, then bring the evidence, evaluation and human review together.