Trust, verification, and the future of AI business solutions

December 08, 2025
Author: CBTS
AI | Blog

This episode of Q and AI features Jon Lloyd, Field CTO at CBTS, and Bob Friday, Chief AI Officer at HPE Juniper, as they explore the rapid evolution of AI business solutions and how managed services providers (MSPs) are helping organizations adopt these capabilities strategically.

AI is now a critical differentiator for businesses looking to stay agile, drive efficiency, protect data, and elevate customer and employee experiences. What once seemed like a distant future is now an integral part of everyday workflows, from predictive analytics to automated support and real-time customer insights. But as the tools grow more sophisticated, so do the challenges.

Without the appropriate architecture, security model, and governance practices in place, AI initiatives can introduce business risks. That’s why MSPs have become essential strategic partners. They bring the knowledge and expertise needed to help businesses deploy AI with confidence. Here’s how the AI landscape is shifting and why trusted MSPs like CBTS are helping organizations maximize return on their investment.

AI Business Solutions for Hybrid Work

Hybrid work has transformed networks into constantly shifting ecosystems. Employees are no longer accessing systems from predictable, controlled environments. Instead, they’re logging in from home offices, shared spaces, and mobile devices. That complexity is exactly where AI shines.

Modern AI business solutions can detect network disruptions, flag anomalous behavior, and even predict potential issues before they occur. Rather than waiting for tickets to pile up, IT teams can get ahead of problems to keep employees productive. When integrated with AIOps tools like MIST, AI becomes even more powerful.

CBTS, for example, has utilized AI to help clients reduce their IT incident volume by 80% and trim hours off resolution times. These gains reflect more than just efficiency; they free up IT staff to focus on their core responsibilities instead of routine troubleshooting.

Still, human expertise remains crucial for making judgment calls. MSPs can serve as the connective tissue, ensuring an AI system is aligned to business goals and delivering results you can trust.

According to Boston Consulting Group, AI “agents already account for 17% of total AI value in 2025 across all industries.”

Also Read: Optimize complex network environments with AI in networking

Proactively Maintaining Application Performance

Core business applications, such as Workday, Salesforce, and Microsoft Teams, are the backbone of many businesses’ daily operations. When performance falters, productivity stalls, and customers feel the impact. And yet, many organizations remain stuck in a reactive mode, learning about issues only after they disrupt business operations.

Through AI’s predictive monitoring and machine learning, MSPs can help identify degradation early and pinpoint causes faster. That means organizations spend less time on firefighting. For distributed teams, it also creates a smoother, more consistent digital experience, regardless of where employees are working.

Making the Move to Agentic AI

Agentic AI—autonomous systems capable of handling complete workflows—is reshaping what organizations can achieve. These agents can process massive datasets, guide employees in real time, and automate high-volume tasks.

As enterprises shift from fragmented tools to more governed ecosystems, MSPs help balance innovation with oversight. They ensure these more advanced AI business solutions are implemented with the proper guardrails, especially where sensitive data is more exposed.

Learn More: CBTS unveils AI ThreatCanvas to combat emerging AI-driven cyber risks

In practice, agentic AI can serve as a real-time coach for employees, providing guidance tailored to specific contexts. It can also reduce human error and accelerate response times by handling rote, high-volume work.

But with greater power comes greater complexity. As organizations evolve from fragmented “AI gardens” into more integrated ecosystems, MSPs help build the scaffolding required to deploy agentic AI strategically. That includes:

  • Building governance frameworks.
  • Access control.
  • Identity checks.
  • Data-protection strategies.

Also Read: Evolving workplace trends and how AI for security and monitoring can help

Let CBTS Be Your Strategic Partner

As hybrid work and digital operations continue to evolve, organizations need a trusted partner to help them modernize their networks with smart AI business solutions. MSPs like CBTS bring a combination of expertise, staffing, and strategic insight that internal teams often can’t replicate on their own.

CBTS can support every step of your AI journey—from assessments and strategic design to implementation, governance, and fully managed IT support. If you’re ready to explore what AI can do for your business, get in touch with CBTS today to get started.

Listen to the full Q and AI episode to hear how CBTS is building trust in the AI-enabled enterprise.

 

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