Method

AI Impact Model.

AI automation for delivery systems. Starting with the PMO reporting layer.

AI Impact Model

Assess → Architect → Activate → Accelerate

Methodology

01Assess
Find drag

Map the reporting system

02Architect
Design fix

Automation opportunity + blueprint

03Activate
Build

AI automation into the pack cycle

04Accelerate
Scale

Expand beyond reporting

PMO reporting is Assess → Architect. Implementation is Activate. Accelerate expands beyond the reporting layer once the pack cycle is stable.

Decision gates

Go / No-Go at each phase.

Gate 1
Post-Assess
Question

Is the reporting drag material?

Go

Clear pack-cycle friction with automation upside

No-Go

Stop or refocus scope

Gate 2
Post-Architect
Question

Is the automation path viable?

Go

Blueprint + fit confirmed for Activate

No-Go

Descope or redesign

Gate 3
Post-Activate
Question

Is the pack cycle working as designed?

Go

Acceptance met — ready to scale

No-Go

Fix before expanding

Gate 4
Quarterly
Question

Is the system still earning its keep?

Go

Continue / expand beyond reporting

No-Go

Optimize or sunset underperforming flows

Start

Begin at the reporting layer.