Repetitive decisions
Identify bounded decisions where models can assist without hiding accountability.
Capability / AI & automation
Automation should remove work without making the operation harder to understand.
Models are components / the workflow is the product
We look for bounded, repetitive work where automation can create leverage while keeping decisions, exceptions and ownership visible.
Where it can help
Start with the workflow, not the model.
The useful question is not where AI can be added. It is where work repeatedly slows down, what judgement is involved and what must happen when confidence is low.
Manual handoffs
Connect steps and systems so information moves without repeated copying and follow-up.
Document workflows
Extract, classify and route information with review where confidence matters.
Customer operations
Support qualification, booking or service workflows while preserving escalation paths.
Control points
Useful automation has explicit boundaries.
Input
What information enters, from where and with what uncertainty?
Decision
What can be automated and what still requires review?
Action
Which system changes, and how is that action authorized?
Recovery
How are failures, exceptions and escalation made visible?
Before implementation
Questions worth answering first.
01
What does a correct outcome look like?
02
What happens when confidence is low?
03
Which system owns the source data?
04
Who can override or audit the result?
05
How will quality be evaluated after launch?
Start a conversation
Where is manual work becoming difficult to sustain?
Start with the business problem, the current system and what is no longer working. A technical specification is not required.
