AI systems

AI that works inside your business.And shows its work.

We build AI agents into the tools your team already runs. A person approves what they make, and every run is logged with its cost.

See what we build

A sample morning.

Agents at work

Many hands. One gate.

Agents take the work in parallel. Every one of them ends with a person, the draft, the reason and the cost.

Agent · Read

Matching last week’s calls to what sent them

  • Calls pulled from the calendar
  • Joined to the CRM on email
  • Campaign touches lined up
  • Two channels moved with bookings

Agent · Draft

Renewal note for an account up in November

From the account’s own numbers. $4.20 to make.

Agent · Check

Facts in the drafts, against your pages

  • Product names match
  • Case study figures match
  • A price is out of date: sent to a person

You

Three drafts, one flag

Each says why it exists and what it cost. Nothing sends until you say yes.

A sample morning.

What we build

The work we take on.

  1. A crew for each book of business that reads, drafts and checks inside the tools your team already uses. It ends with a person.

    Agent · ReadReading the support inboxTagging by accountThree accounts at risk
    Agent · DraftDrafting three check-insFrom each account’s numbersDrafts ready
    Agent · CheckChecking facts and toneAgainst your own pagesOne flag, to a person
    Account managerThree drafts, one flagApproveEdit

How it fits

Take a closer look.

  1. 01
    Your tools

    The CRM, inbox, calendar, analytics and documents you already pay for. Read with the access you grant, never changed.

  2. 02
    The thread

    Everything joined on the email address, so every person, deal and message is one record. One version of the numbers.

  3. 03
    The agents

    Small crews per book of business. They read, draft and check in parallel, and stop when they are not sure.

  4. 04
    Your people

    Each account manager sees their crew’s drafts with the reason and the cost. Approve, edit or skip. Nothing leaves without them.

  5. 05
    Their clients

    What reaches a client is approved, on brand and checked against your own pages. Their replies come back into the thread.

  6. 06
    The log

    Every run is on the record: what it read, what it made, who approved it and what it cost, to the cent.

The rules

Every system runs on four rules.

  • 01

    A person approves

    Nothing sends, posts or publishes without a yes. When an agent is not sure, it stops and hands the case to a person with the evidence attached.

  • 02

    Logged, to the cent

    Every run is on the record: what it read, what it made, what it cost.

  • 03

    In your accounts

    Built in your accounts, on code you own. We run it for you, or hand it over with the documentation.

  • 04

    Your data stays yours

    Read with the access you grant, which you can take back. Never sold, never shared, never used to train models.

How a build runs

From the first map to a system that compounds.

  1. 01

    Map

    We sit with the people who do the work and write down what really happens.

  2. 02

    Scope, in writing

    What gets built, what it connects to, and what done means.

  3. 03

    Build, every week

    Working software in your stack each week, on your data.

  4. 04

    Hand over, or we run it

    A walkthrough and the docs, or we run it and report weekly.

  5. +3 months

    It compounds

    Each process that runs frees time to map the next.

A sample build.

Questions

Before you book a call.

Whose accounts does it run in?

Yours. The agents run in your accounts with the access you grant, and the code is yours.

Do you work with the tools we already use?

That is the default. We connect to what you run, so there is nothing new for your team to move to.

What happens when an agent is not sure?

It stops, flags the case, and sends it to a named person with what it found. Nothing guesses its way out the door.

How is this related to Throughline’s growth runs?

The growth run is one system we run every morning: it reads your stack, finds what moved and drafts the next piece. A build puts the same engine around a workflow of yours.

How is our data handled?

Read with the access you grant, logged, never sold or shared, and never used to train models. You can take the access back at any time.

Tell us the one process you keep doing by hand.

We will map it, and tell you plainly whether an agent should do it.