AI POC Checklist for Your First AI Factory Use Case
An AI POC checklist built as five gates, each with an artifact, an owner and a pass condition, ending in a go, stop or re-scope decision.
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Artificial Intelligence
AI Vendor Lock-In: An Exit Plan for Your AI Factory
AI vendor lock-in cannot be removed, but it can be priced. The seven places an AI factory gets locked in, and how to write the exit plan before go-live.
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Agentic AI in the Enterprise: Where Agents Earn Their Place
Agentic AI in the enterprise belongs in a process one step at a time: where the path is unknown, results can be checked and mistakes can be undone.
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Internal AI Platform: Build the Parts Every Team Rebuilds
An internal AI platform is the set of parts every AI team would otherwise rebuild: model gateway, prompt registry, evaluation tooling, and templates.
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RAG Evaluation: How to Know Your Retrieval Actually Works
RAG evaluation works best as two checks: did retrieval find the right passage, and did the answer stay inside it. Metrics, golden sets, regression gates.
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Do We Have AGI Yet? Gemini 3.8 Live Extended Thinking
Gemini 3.8 Live Extended Thinking is not AGI, but it is a voice assistant that keeps working while you talk. Benchmarks, pricing, limits, and a sample.
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AI Governance Framework: Guardrails Inside the Pipeline
An AI governance framework that runs inside the delivery pipeline, with blocking, advisory and human gates, guardrails and evidence from every build.
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AI Factory Reference Architecture: Layers, Not Racks
An AI factory reference architecture built from logical layers, not GPU racks: five layers, two planes, the contract each exposes, mapped to any cloud.
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AI Factory Cost: Budgeting Beyond the GPU Line
AI factory cost depends on integration, data work, governance and run rate more than GPUs. Seven budget categories, build vs run rate, cost per use case.
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AI Center of Excellence vs AI Factory: Which Model Scales
An AI center of excellence sets standards; an AI factory delivers them. Here is where each model breaks and what has to exist before the CoE can step back.
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AI Maturity Assessment: Positioning Your Organization on the Curve
An AI maturity assessment scores capability across seven dimensions, not one score. See what each level looks like in delivery terms and what to fix first.
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Building an AI Use Case Pipeline with ROI Tracking
An AI use case pipeline turns scattered ideas into a funded portfolio: structured intake, scoring, stage gates and ROI tracked from baseline to production.
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