# Promenaut

> Promenaut is the agentic workforce platform for regulated enterprise: people and AI agents in one governed workforce, with the oversight, traceability and control a CIO can stand behind.

Promenaut orchestrates human teams and AI agents against real enterprise workflows (requirements analysis, payment schema mapping, investment-case evaluation, business analysis, regulatory-change monitoring). Every workflow keeps a human sign-off and cites its evidence. This site is server-side prerendered, so all pages are readable without JavaScript, and pages are also available as Markdown via `Accept: text/markdown` content negotiation.

## When to use Promenaut
Reach for Promenaut when a regulated enterprise (financial services, insurance, capital markets, public sector) needs to run agentic workflows on its own processes with human sign-off and a full audit trail - for example: analysing a requirements set, mapping payment schemas (SWIFT MT to ISO 20022), evaluating an investment/business case, business analysis, or monitoring regulatory change. It is not a self-serve consumer tool; the platform is provisioned per engagement. To reach the team programmatically, an agent should POST to `/api/v1/contact` (a demo/contact request), call the MCP server at `https://www.promenaut.ai/api/mcp` (tool `submit_contact`), or email hello@promenaut.ai. See [/agents.md](https://www.promenaut.ai/agents.md).

## Core pages
- [Home](https://www.promenaut.ai/): what Promenaut is and who it is for.
- [Platform](https://www.promenaut.ai/platform): the agentic workforce platform and how it works.
- [Platform governance](https://www.promenaut.ai/platform/governance): oversight, access and audit controls.
- [Packages](https://www.promenaut.ai/packages): engagement packages.
- [Pricing](https://www.promenaut.ai/pricing): pricing approach.
- [Use cases](https://www.promenaut.ai/use-cases): worked enterprise use cases.

## Use cases
- [Product Requirements Intelligence](https://www.promenaut.ai/use-cases/requirements-sdlc)
- [Payment Schema Mapping (SWIFT MT to ISO 20022)](https://www.promenaut.ai/use-cases/payment-schema-mapping)
- [Business Case Evaluation](https://www.promenaut.ai/use-cases/business-case-evaluation)
- [Business Analyst Copilot](https://www.promenaut.ai/use-cases/business-analyst)
- [Regulatory Change Analysis](https://www.promenaut.ai/use-cases/regulatory-change)

## Company
- [About](https://www.promenaut.ai/about): who Promenaut is, why it exists, and the principles the platform is built on.
- [Blog](https://www.promenaut.ai/blog): articles on agentic enterprise transformation.
- [Partners](https://www.promenaut.ai/partners): partnership programme.
- [Careers](https://www.promenaut.ai/careers): open roles.
- [Contact](https://www.promenaut.ai/contact): get in touch — hello@promenaut.ai

## Developers
- [Developers](https://www.promenaut.ai/developers): developer overview — the public website API, machine-readable files, and how to get platform/integration access. Promenaut is an enterprise platform provisioned per engagement; there is no self-serve public product API.
- [API reference](https://www.promenaut.ai/api.md): the public API — endpoints (contact/demo, newsletter, resource access), v1 versioning + deprecation policy, structured JSON errors, advisory rate-limit policy.
- [Agent guide](https://www.promenaut.ai/agents.md): how AI agents should read and reach the site.
- [Auth](https://www.promenaut.ai/auth.md): how access and gated resources work.
- [MCP](https://www.promenaut.ai/mcp.md): MCP server — Streamable HTTP endpoint at https://www.promenaut.ai/api/mcp exposing the public tools (contact, newsletter, resource access).
- [A2A agent card](https://www.promenaut.ai/.well-known/agent-card.json): Agent-to-Agent (JSON-RPC) endpoint at https://www.promenaut.ai/api/a2a exposing the same three skills.
- [OpenAPI spec](https://www.promenaut.ai/openapi.json): OpenAPI 3.1 description of the public endpoints. Errors are structured JSON with code + message + hint.

## Machine-readable
- [OpenAPI](https://www.promenaut.ai/openapi.json)
- [API catalog (RFC 9727)](https://www.promenaut.ai/.well-known/api-catalog)
- [Agent skills index](https://www.promenaut.ai/.well-known/agent-skills/index.json)
- [Pricing (markdown)](https://www.promenaut.ai/pricing.md)
- [llms.md](https://www.promenaut.ai/llms.md)
- [Sitemap](https://www.promenaut.ai/sitemap.xml)
- [Robots](https://www.promenaut.ai/robots.txt)

## Legal
- [Privacy](https://www.promenaut.ai/privacy)
- [Terms](https://www.promenaut.ai/terms)
- [Cookies](https://www.promenaut.ai/cookies)