The AI Build vs Buy Framework: A Decision Model for Every Layer of the Stack
AI build versus buy is not one decision but six, one per stack layer. A decision matrix with defaults, override conditions, and traps for each.
AI build versus buy is not one decision but six, one per stack layer. A decision matrix with defaults, override conditions, and traps for each.
Synthetic data explained: the three generation families, four jobs it does well, where it fails quietly, the regulatory read, and a fit-assessment framework.
Payment reconciliation explained: what actually gets matched, why the lump-sum deposit is hard to decompose, failure modes, automation, and health metrics.
Progressive delivery explained: feature flags, canary and blue-green releases, the honest costs, org impact, and what AI adds to the rollout playbook.
A four-tier AI incident severity model, the first-hour containment sequence, a comms matrix, and the postmortem rule that stops incidents recurring.
AI red-teaming explained: the attack taxonomy, how an exercise is structured, what agentic systems add, regulatory pull, cadence, and build-vs-hire.
The four payment models compared: who holds tax, chargeback, and compliance liability as merchant of record, payfac, marketplace, or processor, and which fits.
A leader's guide to legacy modernization: the real triggers, the strategy ladder with honest costs, the strangler-fig default, and what AI changes.
An eight-line total cost of ownership framework for enterprise AI, with a worked example, realistic cost shares, and a build-buy-wait decision table.
Why AI policies fail as documents and work as controls: a three-tier governance model, ownership patterns, EU AI Act duties, and metrics that matter.
What interchange fees are, who pays whom in the four-party model, why rates vary, what regulation changed, and how merchants realistically cut card costs.
Disaster recovery for technology leaders: RTO and RPO tiering, the four DR architecture patterns with honest cost multiples, testing, and cloud-era failures.
Deep analysis across the systems, strategies, and economics that shape modern technology.
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