AI that turns emails into leads in your CRM
AI reads the sales inbox, identifies buying-intent requests and prepares the decision. Your team approves it. The CRM stays up to date.
Numbers visible in the application itself.
A snapshot of the reference instance to provide context on scale, execution and AI calibration.
Snapshot from the reference instance shown in the application. This is not an SLA or a guarantee of future performance.
A qualification layer between email and the CRM.
Removes repetitive work from the team without handing critical decisions to opaque automation.
Identifies sales enquiries
Analyses each email and distinguishes qualified leads, potential leads and messages with no commercial intent.
Prepares the decision
Shows classification, urgency, summary, confidence and reasoning on a single screen.
Keeps humans in control
The team approves, rejects or resolves ambiguous cases before anything is written to the CRM.
Updates the right CRM record
Creates or reuses the correct record and keeps the outcome linked to the decision made.
From email to CRM in three steps.
AI analyses
Identifies commercial intent, urgency and relevant information.
The team decides
Approves, rejects or resolves situations that require human review.
The CRM is updated
The correct record is created or reused without arbitrary decisions.
See Liminal AI Email Signal in action.
Review, control and learning in a single workflow.
Review every lead before it reaches the CRM
AI shows the classification, urgency, summary and reasoning. Your team makes the final decision before anything reaches the CRM.
Measure agreement between AI and your team
Track agreement between AI and your team before increasing automation.
Keep a decision history
Every decision is recorded with its outcome, date, owner and corresponding CRM status.
Control automation, confidence and retention
Control processing mode, confidence and operational retention.
Adjust the AI instructions
Adjust the AI instructions based on real feedback and team decisions.
The job is not finished until the CRM is up to date.
After the human decision, Signal creates or reuses the correct record. These examples show how the information can appear in HubSpot, Salesforce and Zoho CRM.
Automation without losing control.
Liminal AI Email Signal combines data isolation, human review and traceability.
Operational processing and storage are separated by organisation.
If there are multiple possible records, the system does not choose arbitrarily.
Classification, decision, owner and outcome remain available in the history.
The organisation defines manual mode, confidence threshold and control sample.
Configuration depends on volume, users, CRM and email provider.
Frequently asked questions
What happens if the AI classifies an email incorrectly?
By default, the decision goes through your team. Automation can increase progressively when your organisation's real-world data supports it.
What happens if there are multiple possible records in the CRM?
The action is blocked for human review. Liminal AI Email Signal never chooses arbitrarily between duplicates.
Is the data stored in shared infrastructure?
No. Operational processing and storage are separated by organisation.
Which platforms does it work with?
Microsoft 365 and Google Workspace for email. Salesforce, HubSpot and Zoho CRM as CRM destinations.
Want to see whether Liminal AI Email Signal is a fit for your company?
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Contact request
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