Mergers and acquisitions are high-stakes moments where promised AI advantage either becomes strategic value or sinks into technical debt. This monologue episode equips C-level leaders with a pragmatic, repeatable playbook to evaluate target data and AI assets during diligence, design integration patterns aligned to business strategy, and secure early measurable wins post-close. Mirko walks through essential diligence questions (data lineage, model licenses, training data provenance, team capabilities), three pragmatic integration patterns (lift-and-shift, rationalize & centralize, preserve autonomy), and an executable 90-day activation plan that focuses on quick ROI, governance, and risk reduction. Listeners receive executive metrics to monitor value capture, negotiation levers to protect IP and data quality in contracts, and governance checkpoints to avoid integration drift. The episode is tailored for CEOs, CIOs, CDOs, and heads of analytics who must turn M&A activity into predictable, auditable AI outcomes.
I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions. Follow Mirko on LinkedIn if you want decision-ready frameworks, not hype.
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