Documentation

AssureSwarm Docs

Structured records, repeatable workflows, human-approved agents. Documentation for the people doing the work, and the agents working beside them.

AssureSwarm is a configurable work management platform. Teams model their work as items, issues, risks, audits, controls, vendors, or whatever record types a tenant configures, and run repeatable workflows over them: steps, approvals, forms, and documents, all tracked on dashboards.

AI agents are first-class users of AssureSwarm, not an add-on. They connect over MCP, read the data they’re permitted to see, and propose changes as suggestions that a person reviews and approves before anything is applied. This site is written for both audiences: people and agents; every page here is also mirrored as raw Markdown an agent can fetch directly (see For AI Agents below).

Choose Your Path

Audience	Start here
Users	Getting started, Using AssureSwarm
Administrators	Admin guide
IT & platform teams	Deployment options, On-prem deployment
Agents & integrators	Connect an agent, MCP overview, Agent operating guide

What’s In These Docs

Section	Covers
Getting started	First sign-in through your first completed step, form response, and suggestion review.
Concepts	How items, item types, workflows, forms, suggestions, and permissions fit together.
Using AssureSwarm	Day-to-day tasks: working with items, working a step, reviewing suggestions.
Admin guide	Configuring item types, users and access, workflow templates, imports and exports, and AI integrations.
Deployment	The managed cloud service and the self-hosted on-prem option: requirements, updates, backups, and the security boundary.
Agent operating guide	How an AI agent should behave in AssureSwarm: read first, suggest changes, stay in scope.
MCP	Connecting and calling the MCP tools that give agents read and suggestion access to a tenant.
GraphQL	Running read-only queries against the same data model.
Reference	Field types, scopes, limits, statuses, and glossary in one place.
Troubleshooting	Fixes for common sign-in, access, and connection problems.
Support	How to get help, and what to include, and leave out, in a request.

For AI Agents

This site mirrors every page as raw Markdown, so an agent can fetch documentation directly instead of scraping rendered HTML:

https://docs.assureswarm.com/llms.txt: index of all pages
https://docs.assureswarm.com/raw/<path>.md: raw markdown for any page
https://docs.assureswarm.com/raw/index.json: machine-readable file list
https://docs.assureswarm.com/static/contentIndex.json: search index

Start at the Agent operating guide: it covers how to connect, what scopes mean, and how the suggestion review cycle works.

Public Boundary

These docs cover supported product behavior and public integration patterns. They intentionally exclude private deployment details, internal configuration, credentials, and customer data.