Decide where AI belongs.Own what gets built.

DecarbDesk helps you identify where AI is worth using, builds the workflow in systems you control, and hands it over with the controls, records, and training your team needs to run it.

A compounding operating asset.

Models, software, and providers change. The knowledge your organization retains, the decisions it can explain, and the work it can run inside written limits remain under your control. Together, these form an operating asset designed to become more useful when reviewed examples, recorded exceptions, evidence, and operating history are kept current and reused. Memory, Intelligence, and Operations show how that asset retains knowledge, supports decisions, and runs work under defined controls.

01

Memory

Keep decisions, exceptions, precedents, and lessons in your systems.

When someone leaves, the knowledge stays. When a question returns, so does the record behind the answer.

Decision memory · Meeting memory · Evidence library · Regulatory memory · Operational history

See what memory is made of →
02

Intelligence

Reason over your data, documents, and precedents.

Research and analysis draw on your operational history, with the sources and working shown.

Deep research · Due diligence · Financial analysis · Commercial analysis · Regulatory analysis · Engineering analysis

See how the answers are tested →
03

Operations

The work runs, and you stay in control.

Invoices are coded, reports assembled, filings prepared, and systems updated. Routine actions run inside written limits. Sensitive or uncertain cases wait for a person.

Human approval · Autonomous execution · ERP actions · Document extraction · Scheduled reporting · Notifications

See the safeguards →

What we build

Seven example workflows across operations, finance, compliance, and data.

Each example begins where an ordinary process map stops: what the system may do, where a person decides, and what evidence remains. The patterns make that boundary concrete before an implementation is scoped to your systems, rules, thresholds, review points, and required outputs.

See all eight examples →

Connects to the systems already in use

Outlook
Teams
SharePoint
Excel
Slack
Salesforce
Gmail
Google Sheets
Google Drive
Snowflake
Databricks
PostgreSQL
Airflow
Grafana
Jira
Confluence
GitHub
+ more

A decision you can follow

Keep a clear path from the original file to the final decision.

How outputs are evaluated
  1. 01

    Original file

    The document or record the work begins with

  2. 02

    Company rules

    What is allowed, required, or sent for review

  3. 03

    AI task

    Read, organize, compare, or draft

  4. 04

    Automatic checks

    Check required fields, limits, and source support

  5. 05

    Human checkpoint

    A named person handles cases requiring risk or judgment

  6. 06

    Decision saved

    Keep the output, approval, and reason together

Your environment, your credentials, your asset.

Everything we build runs on infrastructure or provider accounts you control. We document the system, train the people responsible for it, and hand over administrative access. Your team operates it. We can remain available for advice.

Where data must stay inside your network, the workflow can be designed to run there.

The process map, rules, operating record, and evidence stay with you and remain yours if you change providers. Kept current and reused, they can provide context for future, related workflows.

Start with the problem you need solved.

It may be a workflow, a technology decision, a data problem, or an operating question. Send a short description of what is happening, what should happen instead, and what is getting in the way.