Centric Consulting

Not all AI business applications are worth building. Centric Consulting’s AI director shares 10 high-risk use cases we decline — and what to build instead.

In consulting, saying yes is easy. Saying no is where credibility lives.

Every week, leaders approach us with ideas for artificial intelligence (AI) business applications that sound transformative on paper but carr...

A new AI-only social platform, Moltbook, launched early this year and has already attracted over 1.7 million AI ‘users.’ On the platform, AI agents post, comment, and interact with each other while humans are invited only to observe. It’s positioned as a space for autonomous agents to communicate and collaborate, raising questions about whether this is meaningful innovation or j...

Our client conversations have shifted from what AI can do to how IT and business leaders can scale AI securely, responsibly, and with measurable outcomes. The Microsoft AI governance stack, including Agent 365, uses AI agent governance best practices to operationalize the AI agent observability and management many Copilot deployments lack. Who This Is For

Executive leaders (...

Quick Answer

Successful agentic AI use cases follow a consistent pattern: They start with a clearly defined, high-friction business problem and design the agent to solve it. This problem-first approach drives faster adoption, simplifies governance, and delivers scalable value — unlike initiatives that begin with technology.

Who This Is For

Senior technology and operati...

Anthropic recently announced their Claude Mythos Preview model was capable of autonomously finding thousands of critical vulnerabilities across every major operating system and browser. The company chose not to release the model publicly because the risks were too great.

Anthropic’s decision to not release Claude Mythos Preview is one data point in a much larger shift and po...