Agentic Enterprises Have a Weak Spot: Workflow Governance Between AI Decisions and Customer Outcomes
Agentic systems have moved beyond recommendation. They now initiate actions: routing cases, triggering communications, escalating complaints, and shaping custom ...
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Measuring the Cost of Goods Sold (COGS) for classic SaaS is well known: compute, storage, third‑party services and support. Agentic SaaS adds a new axis: cognition. Every plan, reflection step, ...
Druid AI CEO Joe Kim weighs in on why the future of enterprise agents needs a governance-first mindset that supports composability and extensibility.
Discover Agentic Engineering, the new paradigm coined by Andrej Karpathy that supersedes vibe coding. Explore how AI agents are taking over software development and how testing infrastructure is ...
Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an ...
Government contracting is not a writing problem. It is a workflow problem. Winning is rarely decided by who can draft the fastest paragraph. It is decided by who can run the pursuit loop better: ...
Artificial intelligence agents can help state and local agencies improve service delivery and extend resources.
Agentic AI, combined with interoperable health records, can enable better clinical decisions and safer, more personalized ...
When it comes to agentic artificial intelligence, the fear of missing out factor is clear. Organizations are plopping down agents, in part, because that’s what everyone else seems to be doing. But ...
Read AI Inc., an artificial intelligence startup that specializes in summarizing text, audio and video content to help workers understand it more quickly, is jumping on the agentic AI bandwagon with ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results