Wonka AI connects to Microsoft Teams to make your meeting recordings, transcripts, and channel conversations searchable. Never lose a decision or action item again.
Operational AI
Get a structured summary of any Teams meeting: agenda covered, decisions made, action items, and who owns them.
Example prompt
“Summarize last Tuesday's project kickoff meeting: what was decided, what are the action items, and who owns each one?”
Search Teams channels in plain language to find past decisions and context.
Example prompt
“What was the final decision about the API versioning strategy discussed in the Engineering channel last month?”
Before a Teams meeting, get a briefing on the topic, relevant past discussions, and key stakeholders.
Example prompt
“I have a Teams call about the Q1 budget review in 30 minutes. What do I need to know?”
Private deployment
Wonka connects to Microsoft Teams 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 Teams 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 Teams 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 Teams 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
Wonka AI connects via the Microsoft Graph API and requires a Teams admin to authorize the initial connection. Day-to-day use does not require admin access.
Wonka AI accesses only the channels and conversations explicitly authorized during setup. Private channels require explicit authorization from channel members.
No. All Teams data processed by Wonka AI stays within your own infrastructure.
Wonka is built for private enterprise deployments with controlled integrations, approved data access and governance for sensitive workflows.
No. Business users can ask questions and request approved actions in natural language while admins manage access, rules and oversight.
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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