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Follow-Up Extraction

A promise made out loud is worth nothing until it sits on a day. Callbacks and meetings are pulled off the call with whatever time was genuinely said, and become real work the moment somebody accepts one.

Follow-ups pulled off the call

1 to review
  • callbackCall Dana about the renewal88%
    Thu 09:30accepted

    can somebody call me Thursday about the renewal

  • meetingRenewal review, CFO joining72%
    Thu 14:00 to 14:45

    book me Thursday and I will bring our CFO

  • still listening
Thursday
  1. 09:00Callback09:30
  2. 10:00
  3. 11:00
  4. 12:00
  5. 13:00
  6. 14:00
  7. 15:00
Undated tasks
none
Callback or meeting · title, time where one was said, confidence, and the quote it came from
Accepting a callback creates the task, and accepting a meeting creates the meeting. Until then these are readings of a conversation with the words they came from, sitting in the same review queue as the field updates.
0
kinds a follow-up can be
0
timestamps one may carry
0
rows before bulk accept asks first

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

The mechanism

How it works.

01

Two kinds, and nothing beyond them

A callback or a meeting. Which one it is decides the task type on the other side, so a meeting arrives as a meeting task rather than as one more number to ring.

02

Times are optional and are allowed to stay missing

Due, start and end may all be absent. Where nobody named a day, the row arrives without one instead of with an invented Thursday, because a diary full of guesses is worse than a diary with holes in it.

03

Accepting creates the task and gives it an owner

Title, type, dates and notes are written, assigned to whoever took the call, or to the person reviewing when the call had no agent. An assignee record follows so the work lands in a genuine queue rather than only in an administrator's list.

04

Repeats are caught on the title

Before a row is written the call is checked for a pending or accepted follow-up of the same kind and title. Analysing the same conversation a second time therefore does not book anybody twice.

Where it sits

Two moments in every read.

Every read passes through the same seven. Follow-Up Extraction 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
Kinds
callback and meeting. A meeting may carry a start and an end, a callback a due date
Times
Optional throughout. A follow-up with no stated time is created without one
Each row carries
How sure the model was, between nought and one, plus the words it heard the promise in
Accepting
Writes a task owned by the call's agent, or by the reviewer where there was none
Linking
Attached to the lead when a number on the call matches one, and left loose otherwise
Bulk accept
Asks for confirmation beyond five rows and takes the low confidence ones with it
Re-analysing
Looks for the same kind and title on that call before adding anything
Not the same as
This creates work. Field suggestions edit columns on the lead instead

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.

Sentiment Analysis

Positive, neutral or negative on every analysed call, stored in a column of its own so the ones that went wrong are a filter rather than a listening exercise.

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.

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 Email Analysis

Threads summarised and read for intent and urgency, but only when a participant matches a record, so the model is never called on mail that is not yours.

AI Email Writing

Draft from an instruction or rework a message you have, landing in the composer with a suggested subject and going nowhere at all until you send it.

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 follow-up extraction on your own floor.

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

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