Put intelligence to work inside real operations.
This is what ONE BCG engineers in AI and automation: the work it takes on, where a person stays accountable, and how it reaches the systems the operation already runs on.
Start with the work, not the model.
Operational work has a shape. Some of it is preparation that a person does not need to do, and that is where automation and AI earn their place.
- Prepare
- Extract
- Reconcile
- Classify
- Detect
- Predict
- Draft
These are the kinds of operational work AI and automation can take on. Which of them applies is decided by the operation, not by the technology.
Automate the preparation. Protect the judgment.
Where a decision carries accountability, a named person makes it. What we engineer is everything around that person, and the record it leaves behind.
- 01
AI prepares
- 02
Person reviews
- 03
System acts
- 04
Decision
- 05
Evidence
What ONE BCG engineers.
- 01
Automation inside the workflow
Steps removed from the operation itself, not bolted on beside it.
- 02
The data the work depends on
Operational data prepared, connected and made reliable enough to act on.
- 03
Integration with the systems that act
The applications that carry out the decision, so the result reaches the operation.
- 04
Controls and evidence
Human review points, and a record of what happened and why.
Into production.
Our wider point of view on AI, the operating architecture and where human judgment sits is on AI & Technology.
Where could intelligence remove work?
Tell us about the process, system or decision you want to improve.