The first month should feel focused.
AI deployment does not need to start with a huge transformation program. A useful first month maps one workflow, builds a controlled version, tests with real users, and decides what to improve next.
01
Week one: map the work
The first week is about understanding how the work really happens, including shortcuts, exceptions, and the handoffs people rely on.
Workflow map
Data sources
Approval points
Success metric
02
Weeks two and three: build and test
The prototype should use real inputs but stay small enough for quick feedback. The goal is trust, not theatre.
Draft outputs
Tool connections
Internal testing
Exception review
03
Week four: launch the habit
The last week turns the system into a team habit. That means training, measurement, and a short improvement backlog.
Team onboarding
SOP update
Usage check
Next sprint backlog
Questions to ask before the first sprint
Can this workflow be tested with one team?
What should improve by day 30?
Who decides whether the workflow is ready?
Keep reading on Fabren
External references
Next step
Use the first month to ship, not just plan.
Fabren's deployment sprint is built around one workflow, one owner, and one measurable result.
Start a sprint