Why Sabia

AI does real work now. Nobody can see it.

The bill shows what you pay. Your AI tools show chats. Neither shows the work.

Sabia follows each piece of work your team makes with AI, from the first session to the finished doc, deck or pull request.

One piece of work, many AI sessions.

A proposal or a pull request takes many sessions and many edits. Sabia keeps them together on the work they built, so you see its whole history.

The work

The doc, deck, sheet, pull request or issue that lasts.

Every change

Each time AI helped create or edit it.

Who and how

The people, tools and sessions behind each change.

Wherever the work lives today:

  • GitHub
  • GitLab
  • Linear
  • Jira
  • Confluence
  • Google Drive
  • Google Docs
  • Google Sheets
  • Google Slides
  • Notion
  • Asana
  • monday.com
  • HubSpot
  • Apollo
  • Mailchimp

Sabia reads the work where it lives.

Not a copy of the chat: the real doc or pull request, as it stands today.

01

Find it

Each AI session points to the doc, deck, sheet, issue or pull request it touched.

02

Keep it current

Title, owner, reviews and whether it shipped, read from the tool that holds it.

03

Check it

Your rules run on the work itself, not on the chat that made it.

See where AI usage goes.

Usage by model, person, tool and project. Where a provider bills by usage, you see the spend it reports. Seat plans like Claude Pro and Max have no per-use bill, so Claude Code, Cowork and Codex usage is valued at API rates and marked as modelled.

  • Model
  • Person
  • Tool
  • Project
Modelled spend and tokens

Check the work, not the chat.

Many sessions build one piece of work. Your rules check that work as it stands, like a pull request merged with its checks passing.

The work
GitHub pull request#1174

Retry failed checkout payments

Sessions
18
Changes
7
Google DocOperating review

Q3 AI program performance, current draft

Sessions
11
Changes
9
Google SheetPipeline

Sales forecast with AI-built scenarios

Sessions
6
Changes
14
Google SlidesBoard deck

Quarterly operating review slides

Sessions
5
Changes
4
Notion pageProposal

Customer proposal, revised after legal review

Sessions
8
Changes
5
Jira issueOPS-412

Automate the monthly close checklist

Sessions
9
Changes
6

Privacy by default

You choose what Sabia sees.

AI tool connections bring in usage. Work tool connections bring in the work, so it can be checked. Sabia holds only what you connect.

From your AI tools

  • Token and request counts
  • Cost records where a provider bills by usage, and model names
  • When it happened, and which tool it came from
  • Project, workspace and member details, when the tool supplies them

From your work tools

  • What kind of work it is, its status, and where it lives
  • Each change recorded against it
  • Current details from the tool that holds it
  • The results of your checks

Your data stays yours

Every record is checked against its organization twice: in the app, and again in the database.

Credentials locked away

Encrypted with AES-256-GCM, in a part of the database the app never exposes.

Only the access it needs

Each connection asks for the narrowest access the tool allows. Revoke any of them at any time.

How Sabia compares.

Tracing tools follow each AI run. Finance tools split up the bill. Each AI vendor's dashboard covers only its own product. Sabia follows the work itself: what AI produced, the usage behind it, and whether it held up.

Writing from Sabia on AI cost, output, and quality.

Compare Sabia with the alternatives

See what your team's AI actually produced.

Sabia connects ChatGPT, Claude, Cursor and the rest, and shows every doc, deck and pull request your team made with them, and whether it held up.

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