Centric Consulting

In this blog post, we share what AI orchestration for agents looks like under real program pressure. We discuss how to design agent handoffs effectively and how to embed agent orchestration into workflows before building.

For many leaders, the question is no longer whether their teams will use AI — it’s whether AI will improve delivery, decision-making, and re...

Most AI engagements fail because the problem the tech was meant to solve was never fully defined before the work began. Decision-makers accept proposals before completing an AI readiness assessment, establishing organizational accountability, or setting success criteria. The result is a scoping conversation that moves faster than the ...

In this edition of “Office Optional, Larry English” talks about why enterprise AI is the next competitive advantage, explaining how organizations can move beyond individual AI assistants to build coordinated systems of AI agents that transform how work gets done across the business.

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Most P&C insurers have modernized their core systems but continue to rely on a backlog of legacy applications built on aging IBM, Microsoft, and Java technologies, legacy collaboration platforms, and database-centric architectures. These are often difficult to maintain, poorly supported, and increasingly risky. Agentic modernization makes it faster, safer, and more cost-effe...

Many organizations’ AI budgets consider only fixed access expenses, such as monthly or yearly fees, but consumption-based variable costs can break your AI budget. We share strategies to reduce your agentic AI costs before you’ve started building agents. Who This Is For ...