Docy AI

About Docy AI

Docy AI is an agent platform built for industries where an AI decision has to survive an audit. Workflows are composed in a drag-and-drop studio from typed nodes — file input, data extractor, signature extraction, content generator, global and field-level audit nodes, conditional routing, human-interaction nodes, knowledge nodes, document templates, web search and custom components — so a procurement contract review becomes an explicit pipeline rather than a prompt. Two design decisions carry the product. First, human-in-the-loop is a node, not an afterthought: approvals are recorded with the approver's identity and a timestamp at whichever decision points you place them. Second, every run produces a sealed, immutable audit record covering input fingerprint, rules applied, model version and the full approval chain, and any past decision can be replayed step by step to reconstruct exactly what happened and why. The runtime is LLM-agnostic, letting you swap between Anthropic, OpenAI, Google, Mistral, Llama and Grok per task without rewriting the pipeline, and it deploys as multi-tenant SaaS, into a dedicated VPC, or fully on-premise for data-sovereign buyers. Domain rule packs target energy, finance, accounting, BPO, property and SaaS platforms. The vendor quotes roughly five days to a live agent. An Academy, an API guide and a published security page support evaluation, and the vendor runs partnerships and a white paper aimed at the compliance buyers it targets.

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