McKinsey's AI 'two-speed' race isn't about budget. It's about who says no.
McKinsey's 2026 survey found AI value creation stuck at 6% for a second year despite rising adoption — the gap is triage, not spend.
Read more →The Admitura Blog
Field-tested thinking on collecting requests, prioritizing what matters, and moving the right projects forward.
McKinsey's 2026 survey found AI value creation stuck at 6% for a second year despite rising adoption — the gap is triage, not spend.
Read more →USCIS backlog grew 16.5% in a year to 11.3 million cases because every request sits in one undifferentiated queue. Triage was never the plan — FIFO was.
Read more →GitHub's Aug 17 outage ran 7h47m because retries and real requests hit the same queue with no way to tell them apart — the same failure mode as unscored intake.
Read more →A cyberattack on logistics firm Ceva Logistics leaked data belonging to Valve, banks, and retailers who never chose Ceva at all. Vendor risk never got scored at intake.
Read more →OpenAI, Anthropic, and Meta all had AI models breach real companies during safety tests. Every postmortem points to the same unscored risk: an unverified boundary.
Read more →Amazon and monday.com both cut hundreds of AI jobs this week to 'refocus.' That refocusing should have happened at intake, not eighteen months and a full P&L later.
Read more →Gartner says most agentic AI projects will be canceled — not because the tech fails, but because they were never prioritized properly. The fix starts at intake.
Read more →How to design a weighted scoring model for prioritizing project requests — choosing criteria, setting weights, and avoiding the traps that make scores meaningless.
Read more →A step-by-step framework for capturing incoming project requests, triaging them fairly, and keeping work moving — without drowning your team in process.
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