{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What is agentic ops on Forest?","acceptedAnswer":{"@type":"Answer","text":"Agentic ops on Forest is AI agents running your fintech workflows through Forest's backend, with live data access, scoped permissions, full audit, and human escalation. AI agents query your data, run workflows, handle exceptions, and escalate to humans when needed."}},{"@type":"Question","name":"What are the four pillars of agentic ops on Forest?","acceptedAnswer":{"@type":"Answer","text":"Sovereign data, full audit, human in the loop, and no lock-in. Your data never leaves your environment. Every AI agent action is logged at the record level. Your team decides what AI agents handle on their own and what they escalate. You bring any MCP-compatible AI agent runtime, and swap as the landscape evolves."}},{"@type":"Question","name":"What is sovereign data in agentic ops?","acceptedAnswer":{"@type":"Answer","text":"Sovereign data means your data never leaves your environment. Your AI agents read it live, write to it directly, work with it in place. No pipeline, no ETL, no exposure."}},{"@type":"Question","name":"How does Forest audit AI agent actions?","acceptedAnswer":{"@type":"Answer","text":"Forest logs every AI agent action, every human override, every exception at the record level. The instructions each AI agent was given, the data it accessed, the actions it triggered, and the outputs it produced are all recorded in the same place your team works. When a regulator asks what happened, the answer covers humans and AI agents in the same record."}},{"@type":"Question","name":"How does human-in-the-loop work on Forest?","acceptedAnswer":{"@type":"Answer","text":"Your team decides what AI agents handle on their own and what they escalate. Review, approval, and override sit inside every workflow. Escalation thresholds are configured by confidence level, action type, and risk score. Forest routes the right context to the right human at the right moment, with the case history attached."}},{"@type":"Question","name":"Which AI agent frameworks work with Forest?","acceptedAnswer":{"@type":"Answer","text":"Any MCP-compatible runtime: Claude, GPT, open-source models, custom AI agents your team has built. Forest is model-agnostic and framework-agnostic. Switch as the landscape evolves. Your workflows and audit history stay intact."}},{"@type":"Question","name":"What is the Forest MCP Server?","acceptedAnswer":{"@type":"Answer","text":"The Forest MCP Server is the interface that lets any MCP-compatible AI agent read and write to your data and tools through Forest, under the same scoped permissions and audit coverage that govern your team."}},{"@type":"Question","name":"Where does customer data go when AI agents run on Forest?","acceptedAnswer":{"@type":"Answer","text":"The Forest backend runs inside your infrastructure, alongside your databases. Customer data travels to a provider only at the point where its service is called, and the response is logged back to the case. Data stays in your systems of record."}},{"@type":"Question","name":"How is Forest different from LangChain or a custom AI agent framework?","acceptedAnswer":{"@type":"Answer","text":"General-purpose AI agent frameworks assume you can ship data to an external API, that audit is optional, and that permissions get sorted later. Forest assumes the opposite. Your data stays in your environment. Every AI agent action is logged at the record level. Permissions are scoped at the action, workflow, and record level before any AI agent connects."}},{"@type":"Question","name":"Which industries is agentic ops built for?","acceptedAnswer":{"@type":"Answer","text":"Fintech, insurance, lending, payments, compliance services. Industries where every AI agent action needs to be explainable, auditable, and reversible."}}]}