CRM for Start-ups

Intro

Maple CRM is presented as an AI-powered CRM built for immigration consultancies and consultants. The available material positions it as an all-in-one workspace that connects lead and case management on the web, with workflows described from first enquiry through signed agreement, document checklist, payment receipt and a visa decision. The product is also described as having been trusted by 1000+ consultants since 2012.

Key Features

• AI-powered CRM positioning for immigration-focused practices.
• Lead management and end-to-end case management, covering enquiry to visa decision.
• Document checklist functionality to track required client materials.
• Payment receipt and billing features as part of the workflow.
• A connected workspace delivered via a web interface.

The source material also references tiered plans (Basic, Premium, Professional) with monthly and yearly billing and the ability to upgrade anytime; specific subscription amounts are not included in the captured snippets.

Limitations in the available material: privacy and security topics are referenced but detailed practices, data residency, integrations, API availability, exact pricing amounts, and trial availability are not shown in the captured evidence.

Who this is for

The product is described as designed for RCICs and immigration consultants, and is also positioned for immigration firms and overseas education consulting businesses. That framing suggests the tool is intended for teams running immigration case workflows rather than general-purpose CRMs.

FAQs:

Q: Is Maple CRM AI-powered?
A: The product is marketed as an AI-powered immigration CRM in the provided materials.

Q: What pricing plans are available?
A: The captured information lists Basic, Premium and Professional plans with monthly and yearly billing and upgrade-anytime flexibility; exact prices are not in the snippets.

Q: Are privacy and security details available?
A: Privacy topics are referenced, and the site claims long-term consultant use, but detailed security, data residency, and privacy practices are not shown in the captured evidence.