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Managed service providers (MSPs) have much to oversee for companies that aren’t even theirs. Day-to-day tasks can become tedious and overwhelming. Even though businesses are finding every excuse to incorporate artificial intelligence (AI), it’s not a signal that they are phasing you out. In fact, you can implement generative AI into MSP operations to make yourself even more irreplaceable in your client’s eyes.

Like the world-famous ChatGPT, generative AI creates new content based on data and machine-learning determinations. It can execute tasks and make suggestions for improvements. Clever employment of generative AI can make you more productive than competitors, holding your clients’ interest and commitment for the long term. So, how do MSPs use it for optimal advantage?

Generative AI enhances an MSP’s coverage

Since the second iteration of the internet that mobilized app integration and usability, application service providers changed how MSPs would operate forever. Suddenly, everything became remote. Generative AI is expanding these possibilities, even more, to save time and interact with more surface area, overcoming some of the industry’s previous challenges. MSPs can monitor businesses through customer relationship management software instead of attending frequent in-person meetings to relay the meanings of performance metrics. Navigating complex asset structures has never been easier.

Infrastructure services are taken to the next level

Not all MSP responsibilities are cybersecurity and digital domains these days. In short, yes: physical offerings like print services also reap the benefits of generative AI. No more wasted supplies or labor costs when AI can automatically send commands.

Managed print service providers are the brains behind consumable products for their clients, especially as hybrid work environments continue to become the norm. Generative AI increases time-saving efforts by storing and leveraging information from previous orders, machine specs, volume, and security details for informed ordering and printing. Create new process orders? Generative AI can do that. Produce code for a maintenance issue? That can be done, too.

Bolstering customer relationships

Consider all the time you spend ignoring service requests and emails because there are more pressing items to tend to. Generative AI can handle it while you directly face customers, especially during retention-critical times like onboarding, which is exceptionally tedious unless automated.

Support tickets can’t stack up and retain customers. Generative AI can automate tasks that take up valuable client connection time, resulting in customers renewing contracts with your MSP.

Generative AI can also perform process mining. Instead of focusing exclusively on predictions it can provide by gathering data from multiple sources, it can also source answers from client-specific facts, showing tangible process improvements based on in-use work models.

Increase competitive advantage

With 70 percent of companies incorporating at least one kind of AI in their workforce, the first thing generative AI can do for budgets is keep them relevant in the MSP industry. Competitive advantage is everything and AI promises more than any other tech asset on the market.

Only some clients want the same thing from an MSP. One client may want cloud management exclusively, while another wants to focus on productivity software and back up their collected data.

Diversifying team members to assist with every customized service plan can become mind-boggling. Generative AI can simplify tasks like backups and endpoint security analysis and expand service offerings with sensible scaling to match staffing availability and AI capabilities. Additionally, automated invoicing is a win-win when it leverages other AI powers like preventing fraud and securing sensitive financial documentation.

Reduce cybersecurity fatigue

Servers, networks, cloud, and on-site machines all need an extra set of eyes on them to keep them safe from cyberthreats. Generative AI has security problems to contend with, which could make customers concerned about their assets. Why protect tech with unsafe tech? It turns out the opposite is true. If you’ve heard of cybersecurity fatigue, imagine how much of that dissolves if AI is there to carry some of the burdens.

Generative AI can tap into your client’s tech tools — whether they’re on-site hardware or IoT-connected devices — to review how they’re doing and look at network analytics. Also, it can check compliance and machine health for security and reporting.

Predicting outcomes

Predictive analytics and maintenance are glorious features of ever-growing, intuitive AI. Generative AI tools can notify operators when potential security flaws or parts updates could hinder performance.

It can determine these events with relative accuracy based on data and information from similar machines, technologies, and digital assets to guess when human intervention is necessary. Even if MSP workforces must stop for a second to tend to their AI, it will be more efficient at predicting and specifying its needs compared to legacy tools.

Generative AI will increase productivity in your MSP. It will make clients happier, digital infrastructure stronger, and relationships more resilient as digital landscapes become more complex. Today, more tasks require a human touch to execute, and leaving monotony to generative AI is the best supplement to any MSP looking to place priorities in valuable tasks and progress.

Photo: alexkich/ Shutterstock

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Devin Partida

Posted by Devin Partida

Devin Partida is the Editor-in-Chief of, and is especially interested in writing about finance and FinTech. Devin's work has been featured on AT&T Cybersecurity, Hackernoon and Security Boulevard.

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