acceligence

📊 For the past several years, the conversation has focused on models, capabilities, and technical breakthroughs. Increasingly, the real challenge is ex*****on.

Organizations already have access to powerful AI technologies. The harder problem is connecting data, workflows, governance, security, and business processes in a way that delivers measurable business outcomes.

As our CEO Justin Greis recently shared with CIO:

“Enterprise AI is moving from a technology conversation to an ex*****on conversation, and time-to-value is becoming the new battleground for competitive advantage.”

That shift helps explain why we're seeing accelerated investment, acquisitions, and consolidation across the AI ecosystem. The winners won't simply be the companies with the most advanced technology. They'll be the ones that help enterprises realize value faster and with less complexity.

We're pleased to contribute to CIO's analysis of Salesforce's acquisition of Fin and what it signals about the future of enterprise AI adoption.

🔗 Link to article: https://hubs.la/Q04lxp7m0

🤖 💼 One of the most interesting developments in enterprise AI is how the professional services landscape is changing around it.

Forward-deployed engineers or "FDEs" are blurring the traditional boundaries between software vendors, consultants, and implementation partners. AI providers are moving closer to delivery. Consulting firms are moving deeper into engineering. Everyone is competing to help organizations turn AI capabilities into operational outcomes.

The question for enterprise leaders isn't whether to use outside help - most organizations will - it is whether that help leaves the organization more capable, more resilient, and more independent when the engagement is over.

acceligence CEO, Justin Greis, contributed to Computerworld’s latest article examining AI vendor FDEs, vendor lock-in, capability transfer, and the evolving options organizations have for building and deploying AI at scale.

🔗 Link to article below 👇

AI vendor FDEs: Key considerations and concerns IT leaders are increasingly turning to forward-deployed engineers from AI vendors for help with AI deployments. Here’s what you need to know before taking the FDE plunge.

As acceligence CEO Justin Greis recently noted in CSO, AI's value comes from its ability to connect to systems, access data, browse the web, and take action. Those same capabilities also expand the attack surface.

What's encouraging is that the market is beginning to respond with more sophisticated controls. Features like OpenAI's Lockdown Mode reflect a broader shift in enterprise AI maturity: moving beyond the question of what AI can do and toward how organizations can safely scale its impact.

The conversation is no longer just about deploying AI, it's about operationalizing AI safely at scale. As governance capabilities mature alongside model capabilities, organizations gain the confidence to move from experimentation to transformation.

The biggest opportunity isn't building more powerful AI. It's building AI that businesses can trust, govern, and scale.

🔗 Link to full article: https://hubs.la/Q04kL-jb0