Agentic Workflows

As a kid, I was deeply traumatized by the Borg in Star Trek: The Next Generation—so it's safe to say that I had some baggage to work through when I first started hearing the term "AI integration." But to my—and... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

How preventing revenue leakage became finance's front lineIn telecom, revenue is... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

Automating customer retention workflows in Amazon Quick can turn a five-day churn-response cycle into one that takes minutes. Last quarter, a mid-size SaaS company lost 12% of its at-risk accounts because the... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

As more companies plug AI agents into the deepest depths of their internal data banks, how can they be sure those agents actually understand how the business works? Right now, many of these organizations are... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

Over the past few months, I've noticed something unmistakable in my conversations with customers. We’re no longer talking about what AI agents are capable of and whether they can transform the way we build... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

Today, we announced an expanded collaboration to bridge the gap between AI agents and the enterprise context they need, helping organizations build production-ready AI applications and agents using OpenAI... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

Today, the Model Context Protocol (MCP) published its 2026-07-28 specification, the largest and most significant revision of the protocol since its launch. With this release MCP becomes a stateless protocol... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.

SmithDB supports full-text search and JSON filtering over agent traces with a median (P50) latency of 400 ms, even though the underlying data consists of large, deeply nested JSON documents stored in object... Why it matters: Check whether the agent can be scoped to a narrow company workflow with approvals, logs, rollback, and reusable memory. Next move: Test it against one real workflow, document the permission boundary, compare export paths, and keep the decision tied to business evidence.