新闻

When companies bolt AI onto legacy systems, they don't just encounter inefficiencies -- they reveal structural incompatibilities. The AI Revolution Isn't About Tools -- It's About Rebuilding Your Company For two years, the tech industry has been asking the wrong question about AI: How do we use AI in our processes? The answer, it turns out, has been a dead end. Large language models and generative AI tools were never designed to run a company, and forcing them into existing workflows -- no matter how clever the "copilot" or "assistant" -- has led to frustration, not transformation. The real question, as enterprise AI adoption slows and early experiments stall, is no longer about how to integrate AI. It's about whether companies are willing to redesign their entire operating model so that AI can function at all. The failure isn't the technology. It's the processes. When companies bolt AI onto legacy systems, they don't just encounter inefficiencies -- they reveal structural incompatibilities. Most enterprise workflows were designed for a world where human cognition, memory, and coordination were the limiting factors. But AI systems, particularly those powered by large language models, operate differently: they maintain context continuously, apply constraints dynamically, and can act without human intervention. The mismatch is fundamental. Consider the characteristics of traditional processes that clash with AI's capabilities: These aren't just inefficiencies -- they're architectural flaws. As Deloitte's recent analysis of agentic AI (systems that can act independently) makes clear, organizations that try to automate human-designed processes often end up with more complexity, not better outcomes. The result? Pilots stall. Budgets evaporate. And executives wonder why their AI investments haven't paid off. The idea of redesigning workflows around technology isn't new. In the 1990s, business process reengineering (BPR) promised to revolutionize companies by aligning them with information systems. But the execution fell short. Systems were passive -- storing data, enforcing rules, and supporting human decisions. They couldn't adapt in real time, and the reorganizations often became expensive, one-off projects with limited lasting impact. Today, systems are active. They don't just store information -- they generate it, evaluate it, coordinate around it, and increasingly, act on it. This changes everything. The promise of BPR is resurfacing, but now the technology can finally deliver on it. McKinsey's latest research on AI adoption underscores this shift. Organizations that see measurable gains aren't the ones deploying more tools -- they're the ones rethinking how work is done. The difference isn't incremental; it's structural. Instead of asking, "How do we automate this step?" companies must ask: These aren't questions about tools. They're questions about design. Here's the paradox: The more companies try to apply AI to existing processes, the more those processes' limitations become visible. What was once hidden behind human effort -- missing data, inconsistent rules, unclear ownership, duplicated work, delayed feedback -- suddenly becomes explicit. AI doesn't just optimize processes; it exposes them. This is why so many AI pilots fail. The technology isn't the problem. The process is. As MIT Sloan has argued, the challenge isn't adopting AI -- it's redesigning organizations so they can use AI effectively. The limiting factor isn't the model. It's the company. The next phase of enterprise AI won't be about adding intelligence to tasks. It will be about embedding intelligence into the fabric of how work gets done. This requires a fundamental shift in thinking: Microsoft's Work Trend Index already reflects this transition, describing organizations moving toward dynamic, outcome-driven structures where humans and AI collaborate around goals, not functions. The companies that succeed in this shift won't just be faster or more efficient -- they'll operate differently. This isn't optional. It's a constraint. Once some companies begin operating this way, their competitors aren't just behind on tools -- they're competing against a different kind of system. One that: You can't match that by deploying another copilot or training another model. You have to redesign. The question is no longer "How do we use AI?" It's "Are we willing to redesign our company so that AI can actually work?" If the answer is no, the outcome is already clear: AI won't fail. Your processes will. The first phase of enterprise AI was about experimentation. The second was about realization. The next phase is about transformation -- not transformation driven by models, but by structure. We're not moving from "worse AI" to "better AI." We're moving from companies built for humans to companies that must operate with machines as part of their core logic. And that requires something most organizations have avoided for decades: rebuilding how they actually work.

The latest promotion exercise is coming after Governor Fubara recently approved and effected the payment of promotion arrears owed to civil servants. Rivers State Governor Siminalayi Fubara has approved the promotion of civil servants across all levels in the State Civil Service. The approval is conveyed in a circular issued by the Rivers State Civil Service Commission and signed by the Permanent Secretary, James Enebeli. According to the circular titled "Call for Recommendation for Promotion", Ministries, Departments, and Agencies are directed to forward names of officers due for promotion between January and July 2026 to the commission for consideration. The commission stated that the promotion exercise would cover officers on Grade Levels 07 to 15 who qualified within the period under review. It added that officers who had retired, applied for retirement, or were under disciplinary action should not be recommended. The circular further directed that submissions must include service particulars and scored Annual Performance Evaluation Report (APER) forms of officers recommended for promotion. It also instructed MDAs to submit both hard and electronic copies of recommendations in line with the approved format, noting that the soft copies should be submitted in Microsoft Excel format through USB flash drives bearing the names of the ministries. The Civil Service Commission advised ministries and extra-ministerial departments to immediately commence internal promotion processes for junior officers, while permanent secretaries and heads of extra-ministerial departments were directed to personally sign recommendation letters forwarded to the commission. The commission fixed May 31, 2026, as the deadline for the submission of promotion recommendations, warning that late submissions from defaulting MDAs would not be entertained. The circular noted that the exercise was approved by Governor Fubara to enable the commission to conduct promotion interviews for eligible officers within the January to July 2025/2026 promotion period. The latest promotion exercise is coming after Governor Fubara recently approved and effected the payment of promotion arrears owed to civil servants. He assured workers that his administration would continue to implement welfare policies in line with recent improvements introduced in the federal civil service. In the education sector, the administration recently employed 1,000 teachers for public schools across the state, with the newly recruited teachers having completed orientation and training programmes ahead of deployment. The government has also embarked on the recruitment of health workers to strengthen healthcare delivery in public hospitals and health facilities across Rivers State.