MAKINAI — Category
AI Agents, Automation & Operations
How to define AI service levels, support, and incident response before hiring a provider
Turn uptime into an operating agreement for AI quality, severity, detection, response, recovery, evidence, and continuous improvement.
Read article ↗ENHow to choose a managed AI services provider
Choose a managed AI provider through seven proofs: outcomes, evaluation, observability, security, recovery, continuity and capability transfer.
Read article ↗ENHow to choose an AI integration partner for enterprise systems
A scorecard for evaluating APIs, data, permissions, reliability, observability and transfer before integrating AI with enterprise systems.
Read article ↗ENHow to choose an AI customer service company
A seven-proof framework for selecting customer service and contact center AI partners by real resolution, safety and operations.
Read article ↗ENHow to choose an AI workflow automation company
Evaluate AI automation firms through six proofs: outcome, process, access, autonomy, reliability and transfer—using real exceptions, not a happy-path demo.
Read article ↗ENHow to choose a company to build an enterprise RAG knowledge system
Compare RAG companies across the full reliability chain: source authority, freshness, permissions, retrieval, evaluation and operations—not by a polished chat demo.
Read article ↗ENHow to evaluate an AI agent development company
Evaluate an AI agent development company by its proof of action control, trajectory testing, data protection, failure operations, cost discipline and knowledge transfer—not its demo polish.
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