46. Timing ERP transformations: Day-1, Day-100, or later?
A deal-timing framework for deciding when ERP transformation should happen, what must wait, and how to avoid turning Day-1 into an ERP program.
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23 articles on Value creation.
A deal-timing framework for deciding when ERP transformation should happen, what must wait, and how to avoid turning Day-1 into an ERP program.
How to sequence procurement, supplier, inventory, and logistics systems so sourcing value does not get trapped behind data and process gaps.
How to test whether ERP can support plants, inventory, costing, quality, and supply chain changes before manufacturing deal value slips.
A decision framework for choosing one ERP, multiple ERPs, or a staged model without turning ERP standardization into a value-delay program.
How deal teams can decide when ERP is a value accelerator, a constraint on the thesis, or mandatory cash before the first 100 days are over.
A deal-team checklist for using AI in diligence without creating false precision, data leakage, weak attribution, or unsupported investment conclusions.
Where AI can improve cyber, data, and operational risk detection in diligence, and how to keep the outputs tied to deal decisions rather than noise.
How buyers can use AI-assisted analysis to find application risk faster while avoiding unsupported conclusions about code quality, ownership, and changeability.
A practical view of where AI can compress diligence work, where it creates false confidence, and how deal teams should govern AI-assisted findings.
A diligence approach for normalizing IT run-rate, separating mandatory spend from upside, and protecting the EBITDA case before signing.
A practical way to test when ERP condition, fit, and change capacity should alter the investment case, one-time cash, or integration plan.
How deal teams can test whether management reporting, data quality, and KPI logic can support the investment thesis after close.
A diligence framework to test whether the hosting stack can carry the deal plan, where cloud economics are hiding, and when infrastructure risk should change price, terms, or timing.
A deal-team framework to identify which applications set the integration/separation clock, where technical debt becomes mandatory cash, and what to do about it before signing.
A deal-team way to separate fixable issues from value killers, with evidence asks and decision triggers that change price, terms, or timing.
A fast-cycle tech diligence playbook to pick the few questions that set the deal clock, cash needs, and downside protection.
How to run the IT work as a deal program—clear owners, decision cadence, and value gates—so you exit TSAs on time and capture value without outages.
A deal team method to turn diligence from a findings list into price, timing, and funding decisions before you sign.
How to adjust diligence scope, outputs, and decision triggers so you underwrite the right risks, timing, and cash for the buyer type.
A scorecard and evidence pack that turns tech diligence into price, timing, and a Day-1 plan you can actually execute.
A deal team guide to using sell-side diligence to speed the process—without confusing “a clean story” with an executable plan.
Turn diligence into price, timing, and Day-1 decisions—before the model hardens and options disappear.
A practical way to translate the deal thesis into technology decisions, gates, and a sequenced workplan that protects Day-1 and accelerates synergy.