AIM CRM

AIM CRM is not trying to be the next Salesforce. It is deliberately compact, focused on what a small or mid-size operator needs daily — and on one killer integration point: a live AI agent that can actually use it.

Contacts are people, companies are B2B records, and the two link cleanly to each other. Custom fields and custom statuses let the CRM bend around a business' real processes instead of forcing an imported template.

Every contact carries a history of interactions — calls, emails, meetings, notes. Interaction types are extensible, so specialised workflows (e.g. "site visit", "demo delivered") slot in without rewriting the schema.

Search works across name, phone, email, and free-text — finding a customer is always a second or two away. Imports come from CSV and Excel with a preview-and-confirm step, which quietly prevents the classic "I just imported 40,000 garbage rows" disaster. Exports go both ways; your data is never hostage.

Deduplication helps merge customers that got entered twice by different teammates. An audit log records who created, edited, or deleted every record — critical for any team that cares about accountability. The UI is fully multilingual with RTL support where the script requires it.

The defining integration: an AI agent with CRM permission can, mid-chat, look up the customer's history and reference "last time we spoke about X". It can also create new records — "lead captured", "call scheduled", "quote requested" — and those records appear in CRM immediately, still tagged in the audit log so a human can see what the agent did.

This turns the chatbot into an actual assistant. Instead of "please provide your email", the agent recognises the returning customer from CRM and picks up where the last conversation ended. Admins can operate in any user's context for support. Error handling is deliberately loud — silent data loss in a CRM is unacceptable, and AIM CRM refuses to hide failures.