Communication

Email Agent

Intelligent email triage, drafting, and response automation

Email Agents autonomously manage enterprise inboxes — classifying incoming messages by intent and urgency, drafting contextually appropriate responses using company knowledge bases, and executing follow-up workflows. They handle everything from routine enquiries to complex multi-thread negotiations, maintaining consistent brand voice and compliance with communication policies.

<3 min

Avg Response Time

96%

Classification Accuracy

72%

Auto-Resolution Rate

50K+

Emails Processed/Day

Core Capabilities

Automatic classification of incoming emails by intent, urgency, department, and required action

Context-aware response drafting using company knowledge bases, CRM data, and conversation history

Multi-thread conversation tracking with relationship awareness across contacts and accounts

Attachment analysis — extract data from PDFs, invoices, contracts, and forms automatically

Compliance checking against communication policies, data protection rules, and regulatory requirements

Escalation routing with intelligent assignment to the right team member based on expertise and availability

Use Cases

Customer support inbox management — classify, respond, and escalate without human intervention

Vendor communication — handle procurement queries, PO confirmations, and delivery updates

Internal IT helpdesk — resolve common requests and route complex issues to specialists

Legal correspondence — draft responses with compliance checking and privilege awareness

Recruitment — screen applications, schedule interviews, and manage candidate communication

Executive assistant — manage scheduling requests, meeting follow-ups, and information requests

How It Works

Ingestion & Classification

Emails are ingested via IMAP/API integration, parsed for content, attachments, and metadata. An NLP classifier assigns intent, urgency, and routing labels.

Knowledge Retrieval

Relevant context is retrieved from company knowledge bases, CRM records, previous conversations, and policy documents using semantic search.

Response Generation

A constrained LLM drafts responses that match brand voice, comply with policies, and address the sender's specific needs with factual accuracy.

Review & Send

Responses are either sent automatically (for routine queries) or queued for human review (for sensitive/complex matters) based on confidence scoring.

Technology Stack

GPT-4/ClaudeSemantic SearchIMAP/Graph APIRAG PipelineVector DB

Integrations

Microsoft 365Google WorkspaceSalesforceZendeskFreshdeskJira

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