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Juni, the Midsummer worker

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Inbound response

Every inbound reply from life sciences accounts, answered in-thread.

Midsummer is the AI revenue department for life sciences companies, built for a buyer who checks every claim against the evidence. It runs inbound response as a department: read, drafted, approved, logged.

How does inbound response work for life sciences companies? Inbound replies are the most expensive thing to fumble: the demo question that sat for six hours, the technical objection answered without the thread's history. Speed matters, context matters more, and both are hard at volume. Midsummer reads every reply as it lands, classifies it, and drafts the answer in-thread, grounded in the account: the yes gets the scheduling link, the question gets a real answer, the not-now gets a graceful hold. A person approves each send.

The problem

Inbound replies are the most expensive thing to fumble: the demo question that sat for six hours, the technical objection answered without the thread's history. Speed matters, context matters more, and both are hard at volume.

How the department runs it

Midsummer reads every reply as it lands, classifies it, and drafts the answer in-thread, grounded in the account: the yes gets the scheduling link, the question gets a real answer, the not-now gets a graceful hold. A person approves each send.

The working law

Whatever the page, the working law does not change: every external message waits as a draft until a person approves it, and every action is logged with its source so you can open it and check.

Common questions

How fast does it move?

The reading and drafting happen overnight or as replies land. The send happens when your person approves it. Speed lives in the preparation, not in skipping the approval.

Does it sound like a template?

No. Every draft is written from the account's own record: what they said, what changed, why now. A person reads it before it leaves, which is the second check.

What can we read afterwards?

Everything. Open any action and read what ran, what it said, and what came back, with the source attached.

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