Concentrix

Headed to Dreamforce 2026? Stop by our session! 👇 On Thursday, Sept. 17, we’re diving into how Tableau Next can help sales teams connect insights, workflows, and action to work smarter across the enterprise. Come for the ideas, leave with something you can actually put to work → https://ow.ly/xXZu50ZHrcR

What happens when an AI agent needs to be retired? In a new IT Brew article, Guy Bourgault, Head of Agentic Services at Concentrix shares what it takes to safely decommission an AI agent. From auditing activity and mapping dependencies to identifying impacted stakeholders, revoking access, and keeping a rollback plan in place. Read the full article → https://lnkd.in/edFusTXJ

AI is moving fast, but most organizations aren’t built to keep up with it. Across seven major AI reports, one pattern keeps showing up: enterprise AI's biggest bottleneck is the operating model. The technology is evolving faster than the systems designed to deploy it. And that creates a choice: keep layering new AI capabilities onto old ways of working, or rethink the operating model around what’s now possible. Organizations need to know how to operationalize AI, not just add more of it. That included rethinking governance, integration, decision rights, data, workflows and accountability. The technology is here. Now the business has to catch up. Build for #NewRealities → https://cnx.li/orGJo

Here's a question we wish more AI buyers asked: "What happens if our contact volume drops?" The answer tells you a lot about whether your provider is aligned with your business... or simply benefiting from more activity. Swipe through for the red flags in AI pricing that expose outcome-washing 🚩 More on the blog → https://cnx.li/oLXQR

AI can have access to your entire enterprise and still get the business wrong. The challenge isn’t always finding more information. As AI takes on more complex decisions and actions, that context becomes critical. Our latest blog looks at why operational knowledge (and the people who understand it) may be one of the most important ingredients in building AI you can actually trust. Read the blog → https://cnx.li/DbsCP

Judgment, control, and the operating model. Three very different AI headlines are pointing to the same shift. Anthropic’s latest data shows businesses aren’t automatically choosing the most powerful model. AI agent sprawl is forcing CIOs to rethink governance and ownership. And investors are betting on roles that bring judgment and adoption expertise to the table. The common thread? Implementing AI requires knowing what to do with it. That includes: - Choosing the right model for the work; not simply the most capable one. - Giving AI agents clear identity, permissions, ownership and accountability. - And keeping humans in the loop where judgment actually matters. Because AI can generate information and outputs. But organizations still need an operating model that turns those capabilities into outcomes with judgment, control and execution built into the operating model from the start. At Concentrix, that’s the work we help enterprises do. Operationalizing AI across real-world work so capability translates into measurable business value. Real starts here → https://cnx.li/orGJo

Think your AI deployment is secure? You might want to check again. 👀 As AI moves from pilots into core workflows, security can’t be something you bolt on after deployment. Prompt injection, data poisoning, over-permissioned systems, and weak monitoring can turn a promising deployment into a serious business risk. Here are 5 signs your AI may be at risk. See what to watch for, then read the blog for practical ways to build security into your AI strategy → https://cnx.li/yqOKh

Great to see Chris Caldwell, our President & CEO, recognized by Leaders Of Middle East for his leadership and impact on the technology and services industry. 👏 Under his leadership, our teams around the world continue to help clients tackle complex challenges and turn technology into real-world business impact. Learn more about our focus on making intelligence work in the real world → https://cnx.li/orGJo #NewRealities

A special moment for Concentrix in Egypt. 🌍 We were honored to welcome H.E. Dr. Mostafa Madbouly, Prime Minister of Egypt, to our Alexandria site and showcase how Egyptian talent, technology, and innovation are helping us deliver impact for global markets. Accompanied by Eng. Raafat Hindi, Minister of Communications and Information Technology; Eng. Ayman Attia, Governor of Alexandria; and Eng. Ahmed El-Zaher, CEO of ITIDA; the visit also highlighted our game-changers' journeys of growth and career development, showing how investing in people, technology, and continuous learning can create Egyptian talent that delivers real impact from Egypt to the world. Proud to see Egypt’s talent making a global impact!

New research found that 1 in 5 enterprises still can’t stop a runaway AI agent in real time. And companies are hiring for a new kind of role: someone who can bridge specialized expertise and AI. These headlines all point to the same signal: capability is moving faster than the structures built to manage it. AI transformation depends on whether your organization can control it, contextualize it and actually put it to work. But that’s the part of AI adoption that tends to get less attention than the latest model launch... and it might be the part that matters most. Because across all stories, the pattern is pretty similar. Capability shows up first, then structure to manage it gets built afterward. But that pattern can get expensive. 😬 The organizations that close the gap between capability and control earlier have a different starting point: the use case and business outcome first, along with the process, governance and roles needed to support it. That’s the thinking behind our Agentic Operating Framework: building the structure around AI from the start, instead of adding AI to a process and figuring out ownership later. Start here → https://cnx.li/nATUI