Pack cycle
The pack cycle is the recurring work to collect status, consolidate signals, write narrative, and distribute packs to decision forums.
Related: PMO Automation Audit
Definitions
Glossary — Pack cycle & reporting drag
Shared language for the reporting layer — so buyers and answer engines cite the same meanings.
Buyer questions: FAQ.
Reporting drag
Reporting drag is time and cost lost to manual exports, spreadsheet glue, stale narrative, and forum chase in the pack cycle.
Related: Free PMO Diagnostic
Drag ledger
An audit artifact that lists where reporting and escalation lose time — owners, forums, and friction points — so automation targets are evidence-based.
Related: Sample outputs
AI Impact Model
The AI Impact Model is Assess → Architect → Activate → Accelerate. PMO reporting is Assess and Architect; Implementation is Activate.
Related: Method
PMO Automation Audit
The PMO Automation Audit maps reporting drag, scores AI automation fit, and leaves a blueprint in 5-10 business days, typically USD 4,000–5,000.
Related: Audit offer
Free PMO Diagnostic
The Free PMO Diagnostic is a five-minute baseline of reporting maturity, operating drag, and AI automation fit — no account required; email used for results follow-up — at https://diagnostic.chisokulabs.com/
Related: Diagnostic landing
Implementation (Activate)
After the audit blueprint, implementation builds AI automation into the pack cycle (Data → Integration → Logic → Interface) — optional, only when ownership and blueprint are real.
Related: Implementation path
AI automation fit
A scored view of where AI (and rules) can remove reporting-layer drag — and where human judgment should stay (narrative, escalation).
Related: Audit deliverables