A custom AI system that reads incoming emails, finds the right customer and business context, and prepares accurate replies in your tone of voice. You keep control with draft approval, escalation rules, and full transparency.
Built for real email work
01
The system can use product data, CRM records, previous conversations, policies, documents, and FAQs so replies are grounded in the same information your team would normally look up manually.
02
Instead of a risky autoresponder, the AI can save a draft, classify urgency, explain which data it used, and flag messages that should go to a person before anything is sent.
03
Run locally with models through Ollama, or connect to OpenAI, Claude, or another API. The right setup depends on your speed, cost, and GDPR requirements.
A controlled workflow around the inbox, not a generic chatbot bolted onto email.
Classification
Sales requests, support issues, booking questions, complaints, invoice questions, and internal messages can each follow different rules and templates.
Context retrieval
The AI can look up customer history, order status, project notes, available products, or internal documentation before creating a reply.
Approval workflow
Replies can be saved as drafts, routed to the right person, adjusted by your team, and used to improve future prompt templates and response rules.
It can, but most businesses should start with draft approval. The system prepares the reply, shows the source context, and lets a person approve or adjust it before sending.
Yes. Tone, structure, sign-off, escalation rules, and answer style are configured in prompt templates and examples from your existing emails.
Yes. Typical integrations include Gmail, Outlook, CRM systems, spreadsheets, order systems, internal documents, Slack, Teams, and custom APIs.
It can be designed that way. Sensitive businesses can run local models and local data retrieval. If cloud APIs are used, we map what data is sent and where it goes.
Tell me what your team answers again and again. I will map the inbox flow and suggest the safest first version.
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