
A Lean Stage Gate Process for Project Requests
A lean stage gate process for project requests: how many gates to use, what each one requires, and how to stop gates turning into rubber stamps.
Read more →The Admitura Blog
Field-tested thinking on collecting requests, prioritizing what matters, and moving the right projects forward.

A lean stage gate process for project requests: how many gates to use, what each one requires, and how to stop gates turning into rubber stamps.
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SharePoint list or a project intake tool? When a list is enough, when it starts to hurt, and what changes when everything sits on the request.
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See how to score project requests with weighted criteria in Admitura, using a real IT team's example where the weights add up to exactly 100.
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Amazon closed the 21-year-old Mechanical Turk marketplace on Sept 30 — not because AI replaced it, but because it never scored who or what came through the door.
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Amazon's new Seller Assistant lets AI agents run pricing and inventory 24/7 — but the launch is really a tiered intake system for machine-submitted requests.
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Oracle's September 2026 Critical Patch Update fixes 800+ vulnerabilities in one release. The bottleneck isn't patching capacity — it's an unscored intake queue.
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Uber cut 3,300 jobs and nearly half its micro-teams this week — proof that org structure, like a backlog, needs re-scoring on a schedule, not just approval once.
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McKinsey's 2026 survey found AI value creation stuck at 6% for a second year despite rising adoption — the gap is triage, not spend.
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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.
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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.
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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.
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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.
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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.
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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.
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How to design a weighted scoring model for prioritizing project requests — choosing criteria, setting weights, and avoiding the traps that make scores meaningless.
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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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