By project type
Where the work shows up — and where each initiative breaks.
Each of these is a read we can run today, and a seed for a fuller Insight as the pattern repeats across engagements. They share one break point: the initiative lands on a model that was never made standard, stable, or traceable — so automation and re-platforming scale the dysfunction instead of removing it.
Initiative
Where it commonly breaks
How ZBT + GSDPI resolves it
Professional-services automation & PSAUtilization · delivery · billing
Where it breaksA PSA platform or automation is bolted onto staffing, delivery, and billing that were never standardized — so realization leaks, utilization is borrowed from heroics, and the new system just measures the old chaos faster.
How we resolve itWe standardize how demand becomes staffed, delivered, and billed work before the platform decision, then make each conversion step traceable — so utilization and margin become provable, not anecdotal.
Read the Insight →
Intelligent automation & agentic AIRPA · IDP · agents
Where it breaksTeams automate the existing path, hard-coding an unstandardized model into bots and agents — exceptions multiply, and no one can trace what the automation actually did.
How we resolve itWe standardize and stabilize the model before automation, then make each automated step traceable to a governed origin — so agents inherit a stable, provable process instead of amplifying a broken one.
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Portfolio & benefits-realization governanceEPMO · TMO · funding gates
Where it breaksDozens of leader-led initiatives run in parallel with no shared gates, so spend tracks activity and milestones while benefits realization stays low — and unprovable.
How we resolve itWe convert scattered initiatives into one governed portfolio with funding gates and forecast-to-actual tracking, tying each initiative’s spend to the value it was meant to convert — so the board sees banked benefit, not motion.
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ERP & core platform transformationERP · CRM · billing re-platforming
Where it breaksA re-platforming digitizes the current operating model as-is, so the new core automates the same fragmentation and value stays stranded in the workflows around it.
How we resolve itWe read and standardize the operating model before the core is configured, so the platform lands on a stable process — then make the intended benefit traceable through cutover, not assumed after it.
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Finance operating-model transformationClose · FP&A · xP&A
Where it breaksFinance modernizes its systems while the workflows around them stay manual and disconnected — and now AI agents get layered onto that, so forecasts, reporting, and controls stay fragmented and hard to trust.
How we resolve itWe standardize the finance operating model and its data lineage before automating or deploying agents, so speed never outruns control — each output traces to a governed origin, making forecast and close defensible and audit-ready.
Read the Insight →
Why these, why now: finance leaders name AI-in-finance and digital transformation of finance among their top 2026 priorities, while cost optimization leads the enterprise agenda — and the recurring constraint is modernized systems running on manual, disconnected workflows. Sources: Deloitte CFO Signals; Gartner.