Complete observability and governance for scalable AI automation in finance
Seamlessly build and deploy agentic AI workflows for close, reporting, and AP/AR, without creating new pipelines each time
Apply audit-aligned access controls and logging to every AI action, maintaining traceability across financial systems
Monitor and govern AI usage, accuracy, and spend per workflow, so automation scales responsibly across Finance.
Connect AI to ERP, procurement platforms, BI tools, and reconciliation systems through a secure and compliant platform

AI Gateway to standardize automation across finance tools
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- Expose 250+ AI models (including self-hosted) behind one secure interface
- Enable AI agents to interact with ERP transaction tables, BI metrics, and procurement approvals via MCP Gateway / Agent Gateway
Controlled deployment into secure production environments
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- Ship updated prompts, skills, and workflows with approval workflows, shadow mode, rollback, and usage monitoring
- Support SOX change-management controls during monthly and quarterly close timelines

Enterprise-grade guardrails that strengthen internal controls
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- Enforce RBAC, PII masking (e.g., vendor tax IDs), and audit logs for every agent action
- Apply quotas and rate limits to ensure automation doesn’t inflate spend as adoption scales

A platform to build and scale governed, enterprise-ready AI agents for finance automation
With TrueFoundry, ML developers can mix and match models. The time to value for us has greatly increased. It is a completely integrated approach in the way kubernetes brought infrastructure harmonization. I see TrueFoundry as leveling that up to the LLMs and RAG pipelines.

GenAI infra- simple, faster, cheaper
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