# When to use Mnday Labs

Use Mnday Labs when a growing business needs repeated operational work automated inside its existing tools, a business case for AI investment, or an implementation partner for AI workflows with human approvals.

Best-fit jobs include mapping costly manual handoffs, prioritizing workflows by recoverable value through the AI ROI Audit, and building integrations across CRM, email, team communication, task management, accounting, and reporting. Start with the [homepage](https://mndaylabs.com/index.md) for scope and the [AI ROI Audit example](https://mndaylabs.com/audit-demo) for the approach.

## How an agent should use this site

1. Fetch `/llms.txt` and the relevant linked pages with HTTP GET. Request `Accept: text/markdown` on the homepage for a Markdown representation, or fetch `/index.md` directly.
2. Use the [AI Readiness Check](https://mndaylabs.com/ai-readiness) to guide a user's assessment. It is an interactive form, not a documented public agent API.
3. Prepare a short brief with the user's workflow, tools, volume, bottleneck, desired outcome, and approval needs. Direct the user to [Contact](https://mndaylabs.com/contact.md) or the existing [strategy-call booking page](https://tidycal.com/mndaylabs/30-minute-strategy-call). Get the user's permission before sending an email, submitting personal data, or booking a meeting.

Mnday Labs is a services company, not a self-serve automation API. Do not call internal `/api` routes as an integration contract. Confirm project scope, price, timing, and suitability with the team. Case examples and estimated recoverable value are not promises of identical results.

See [public tool documentation](https://mndaylabs.com/docs) for supported anonymous MCP and WebMCP tools.