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AI Email Analysis

A thread is only read when somebody on it is already a record of yours and has actually written something. No match means the model is never called at all, rather than called and then discarded.

Which threads get read

analysed
The two gates, in order
contact gate passedmatches the lead Dana Whitlow
inbound content found4 messages · 2 from the contact
Then

The whole thread is read once and the result is keyed to the thread, so re-analysing updates the same row rather than piling up.

What mail analysis returns
  • summarywhat the thread is about and what was promised
  • sentimentpositive, neutral or negative
  • intentionswhat the contact wants, what you committed to
  • spam_urgencyhow likely a blast, and how fast a reply is needed
  • tonalitya call concept, not run on mail
  • scorescoaching scores belong to calls
The same output contract as the call side, minus the two dimensions that only make sense on a call
One person on the thread is already a lead, and they have written. The thread is read as a single conversation, oldest message first, and the result is stored against the thread rather than against any one message.
0
dimensions asked of a thread
0
characters of thread text sent
0
minutes between runs on one thread

Product figures from the platform’s own defaults - not customer averages

The mechanism

How it works.

01

The contact gate is hard, and it runs on the server

Every sender, recipient and copied address is lowercased and looked up against the primary and secondary mail on your leads. Without a hit the function returns skipped and no request is made to any provider.

02

Threads that only went outward are left alone

At least one message has to have come from the other side. A sequence that has gone out and heard nothing back is not yet a conversation, so there is nothing there to read.

03

Four dimensions, and two left out on purpose

Summary, sentiment, intentions, and the spam and urgency reading. Manner of speech and the nought to ten coaching numbers are call ideas, so this path neither asks for them nor stores them.

04

A long thread keeps its tail

Messages render oldest first with direction, timestamp and parties, then the whole block is trimmed from the front if it runs long. The thread identifier hashes to a stable value, so reading it again updates one row.

Where it sits

Two moments in every read.

Every read passes through the same seven. AI Email Analysis is the lit ones, and everything either side of it is a different page in this category.

  1. 01
    Source

    the call or the thread it reads

  2. 02
    Transcribe

    audio into words, with speakers

  3. 03
    Read

    the pass over the whole of it

  4. 04
    Judge

    the score, the sentiment, the intent

  5. 05
    Extract

    the fields and follow-ups pulled out

  6. 06
    Write

    what lands back on the record

  7. 07
    Review

    a person checking the machine

The specifics.

8 facts
Gate
One participant address must match a lead. No match means no request at all
Also required
At least one message received on the thread. Drafts are excluded from the read
Dimensions
Summary, sentiment, intentions, spam and urgency. No manner, no coaching numbers
Input
Up to twenty four thousand characters, keeping the most recent messages
Trigger
A message received, once per thread per quarter of an hour. By hand it skips that wait
Identity
A hash of the thread, so reading it again replaces the row rather than adding one
Which model reads it
The mail purpose resolves through the model catalogue like every other read, so it is one decision made once rather than per thread
Not the same as
This reads mail you already own. Composing a reply is its own capability

More in Intelligence

12 capabilities

AI that proposes edits to the record - an insight becomes a field once you accept it.

Call Analysis

One reading of the transcript returns the summary, the sentiment, the tone, what each side intended and a set of scores, in a shape fixed in code.

AI CRM Writeback

The model proposes record updates with its confidence and the quote it heard them in, shown as a before-and-after you accept or reject row by row.

Call Summaries

One to six sentences on the record covering why the call happened and what was agreed, so nobody reading the list has to open the audio to find out.

Tonality Analysis

Chosen words rather than a fixed list for how the agent sounded, how the customer did, and the conversation overall - the manner behind the sentiment.

Call Scoring & QA

Communication, resolution, satisfaction and compliance scored nought to ten beside a separately judged overall, on every call that clears the analysis gates.

Compliance Scoring

Compliance scored nought to ten against what the vertical says matters, because no phrase list exists to recite. A missing reading is excluded, never passed.

Follow-Up Extraction

Callbacks and meetings pulled out with their times, a confidence figure and the words they came from, ready to accept in one click or reject in one.

Diarized Transcripts

Four of six speech paths return the channel each side was recorded on, so the transcript knows who spoke rather than guessing, and one control swaps a pair.

Industry Presets

Collections, healthcare, insurance, admissions and eleven more - each shaping what the analysis looks for without letting anyone break the output shape.

AI Field Generation

Describe what you track or paste a spreadsheet's columns, and get a named field group back with types, options and placeholders to approve one at a time.

Natural-Language Filtering

A sentence becomes a grid filter and a sort order with the reading explained back, on the toolbar of every grid that carries a column menu of its own.

Bring Your Own Model

OpenAI, Azure, Anthropic, Gemini, Bedrock and ten more, bound per purpose with an ordered fallback chain, a circuit breaker and a cost line on every attempt.

Intelligence

See ai email analysis on your own floor.

Thirty minutes, your numbers and your data. We will set ai email analysis up live and you can decide from the thing itself rather than from this page.

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