Wonka AI connects your Outlook to a private LLM deployed in your own infrastructure. Summarize emails, draft replies, detect priorities — without your data going through Microsoft, OpenAI, or any third party.
Operational AI
Wonka analyzes long email threads and generates a one-sentence executive summary with next actions. Perfect for managers handling 200+ emails a day.
Example prompt
“Summarize this email thread in 3 key points and list the actions expected from me.”
Based on the conversation context and your contact's CRM profile, Wonka drafts a reply in the right tone and length.
Example prompt
“Draft a professional but direct reply to this email. The goal is to schedule a meeting next week.”
Wonka automatically classifies your inbox by your criteria: key client, urgent deadline, sales escalation. Never miss what matters.
Example prompt
“Among my unread emails from the last 48 hours, which ones need a reply today? Rank them by priority.”
Private deployment
Wonka connects to Microsoft Outlook as a private AI layer for enterprise workflows. The goal is not to copy data into another generic assistant, but to let teams ask questions, summarize records, and trigger work from the systems they already trust.
In practice, this means Wonka can use Microsoft Outlook as part of a controlled enterprise AI workflow: retrieving the right context, summarizing relevant records, keeping references visible, and routing the next action to the people or systems that should own it. This gives teams a way to adopt AI without losing the audit trail around important business data.
Keep Microsoft Outlook data connected to source-aware answers.
Give users cited context before they act on an AI response.
Turn repeated operational questions into governed workflows.
A reliable Microsoft Outlook integration should answer three questions before it reaches production: which users can access which records, what evidence is shown with each AI answer, and how repeated requests become governed workflows instead of one-off prompts. This is where connector quality matters most for enterprise adoption. The integration should preserve existing permissions, support review by the business owner, and make the output useful inside the workflow where the decision already happens. For most teams, the value is not another search box; it is a shorter path from trusted context to the next operational action. That is why Wonka treats connectors as part of the operating layer: the AI experience, the source system and the approval path stay connected from the first answer to the final action.
GEO-ready FAQ
No. Wonka AI connects to Outlook via the Microsoft Graph API, but all AI processing happens inside your own infrastructure. Your emails never pass through OpenAI, Azure, or any third-party cloud. That's the fundamental difference from Microsoft Copilot.
Microsoft Copilot sends your data to Microsoft/OpenAI servers. Wonka AI deploys the LLM in your own servers or private cloud — your data stays in your walls. This is essential for regulated sectors (legal, finance, healthcare) or organizations with strict GDPR requirements.
No. Wonka AI works independently of Microsoft Copilot and requires no additional Microsoft license. A standard Microsoft 365 account with Graph API access is all you need.
Initial setup typically takes 2 to 4 hours with our team's guidance. This includes API authorization, LLM deployment in your infrastructure, and initial user testing.
Wonka AI deploys a private LLM inside your infrastructure — connected to your existing tools, processing everything on your servers. No data leaves. No cloud dependency. Full GDPR compliance, out of the box.
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