ChisokuLabs · AI automation for delivery systems
Find the drag. Automate what repeats.
Starting with the PMO reporting layer — the fastest place delivery drag becomes visible, measurable, and automatable.
Markets · GCC · Singapore
Artifact
PMO Operating Map
How we engage
Diagnostic. Audit. Implementation.
PMO reporting is where we begin. AI automation for delivery systems is where the path leads.
Free PMO Diagnostic
A five-minute baseline of reporting maturity, operating drag, and automation fit.
PMO Automation Audit
Map the pack cycle, prioritize opportunities, and leave with an implementation blueprint.
AI automation for delivery systems
Build the approved automation into delivery workflows—starting with PMO reporting.
Before the audit
Operating drag.
Current state in the reporting layer.
Current-state board
08 signals
Method
AI Impact Model.
PMO reporting is Assess → Architect. Implementation is Activate.
AI Impact Model
Methodology
Map the reporting system
Automation opportunity + blueprint
AI automation into the pack cycle
Expand beyond reporting
The engagement
Four phases. Four outputs.
Map · Locate · Prioritize · Blueprint
From drag to automation
Manual pack → AI-assisted pack.
Pack cycle · Before / After
Methodology excerpt
Operator-assembled cycle
Multi-system exports, spreadsheet glue, late narrative, forum chase.
- 01ExportJira · Sheets · BI
- 02PasteSpreadsheet glue
- 03ReconcileLate · manual
- 04WriteNarrative by hand
- 05SendForum chase
Automated pack cycle
Live extract → rules + AI narrative → pack on cadence → distribute.
- 01ExtractLive signals
- 02TransformRules · freshness
- 03AI layerNarrative · alerts
- 04PackReady on cadence
- 05DistributeOwners · forums
What you get back
Time. Cost. Fresh packs.
See what reporting drag is costing you — then validate with the free diagnostic.
Pack drag estimate
Your numbers · Directional
Time
Hours back to delivery
Less export, paste, and narrative glue every pack cycle.
Cost
Reporting drag priced
See the annual cost of manual packs before you buy tools.
Freshness
Signals on cadence
Forums decide on current numbers — not last week’s spreadsheet.
Fit
Automate only what pays
AI where narrative and alerts matter; rules where they do not.
Estimate your reporting drag
Adjust the inputs. See hours and cost tied up in pack assembly — then reclaim range if AI automation removes the glue work.
Annual drag · Today
Hours burned
768
hrs / year
Cost of drag
$57,600
USD / year
Planning reclaim · After automation
Directional range if 40–60% of pack glue is automated — not a guarantee. Audit produces the ROI hypothesis.
Time back
307–461
hrs / year
Cost back
$23,025–$34,575
USD / year
Audit output
Audit artifact.
Artifact
PMO Operating Map
Reduce weekly pack assembly drag before expanding automation scope.
Blueprint ready? Continue to the implementation path.
View implementation path
Founder
Delivery rooms, not decks.
PMO delivery leadership + AI automation practice.
Start here
5-minute PMO baseline.
See where AI automation can remove reporting drag.
Free PMO DiagnosticPMO Diagnostic
Why this, now
Clarity before commitment.
Capability
AI workflow automation
Delivery ops automation — integrations plus intelligence where narrative packs need judgment.
Starting point
PMO reporting layer first
Fastest place delivery drag becomes visible — and automatable.
Markets
GCC · Singapore
Growth-stage SMEs with reporting, escalation, and PMO visibility gaps.
After the call
Audit, then optional implementation
Scope the audit first. Implementation follows only when the blueprint is real.
Systems we automate against · Jira · Sheets · Power BI · Slack / Teams
Learn