Business Interrupted: The Disaster Your Co-Managed IT Partner Should Be Planning For

Questions Every Business Should Be Asking Right Now

If disaster strikes tomorrow, can your business stay operational?

Power outages. Ransomware. Server failures. Natural disasters.

These disruptions don’t wait for a convenient moment—and when they strike, your internal IT team can be quickly overwhelmed.

That’s where co-managed IT proves its value. Your co-managed partner shouldn’t just be assisting with day-to-day operations—they should be actively preparing your business to survive and thrive through the unexpected.

Backups alone aren’t enough. If your systems go down and your team can’t access tools, files, or communicate with clients, even a small disruption can turn into a serious business failure.


Co-Managed IT Is About Continuity, Not Just Support

Most internal IT teams are stretched thin. They’re great at handling tickets, managing users, and putting out fires. But what about disaster recovery planning? Cloud redundancy? Compliance audits? Off-site failovers?

That’s where your co-managed partner comes in.

A true co-managed IT provider extends your team’s capabilities by proactively helping you:

  • Design a business continuity plan
  • Implement off-site backups and cloud infrastructure
  • Test and simulate disaster recovery scenarios
  • Ensure remote work readiness
  • Maintain compliance with industry standards

Backup vs. Business Continuity: Don’t Confuse the Two

Too many businesses think “our data is backed up” means “we’re protected.” Not quite.

  • Backups restore your data.
  • Continuity ensures your business keeps running—even when disaster strikes.

A well-coordinated continuity plan developed between your internal IT staff and your co-managed partner answers questions like:

  • How fast can we recover our key systems?
  • Where can our employees work if the office is offline?
  • Which platforms and data are mission-critical?
  • Who leads the recovery process on both sides?

And it includes:

  • Verified, encrypted, off-site backups
  • Clearly defined RTOs and RPOs
  • Remote access infrastructure
  • Redundant hardware and cloud failover systems
  • Annual disaster recovery testing

If your current co-managed provider isn’t driving these conversations, they’re just a help desk—not a strategic partner.


Real Disasters. Real Impact.

These aren’t hypothetical scenarios:

  • Wildfires in California destroyed entire offices—some had no off-site recovery in place.
  • Flooding in the Southeast wiped out local servers—weeks of billing and records lost.
  • Ransomware hit thousands of small businesses—many discovered their backups had never been tested.

These are the exact moments your co-managed IT partnership should shine. If they aren’t ready, you’re exposed.


Questions to Ask Your Co-Managed IT Provider Now

Don’t wait until a disaster forces you to scramble. Sit down with your provider and ask:

  • How quickly can we recover from a ransomware attack?
  • Are our backups encrypted, tested, and stored off-site?
  • What’s our plan if a fire or flood takes down the building?
  • Can we stay compliant if disaster disrupts operations?
  • Is our remote work environment resilient enough to handle sudden disruption?

If your co-managed IT provider can’t confidently answer these, it’s time to reevaluate.


Co-Managed IT Is More Than Extra Hands—It’s Your Disaster Insurance

You can’t prevent every storm, outage, or breach. But you can make sure your business doesn’t miss a beat when they happen.

A good IT partner helps your internal team.
A great one empowers them with enterprise-grade continuity planning.


Want to see how resilient your business really is?

🛡️ Book a FREE Network & Continuity Assessment
Let’s make sure your next disaster doesn’t turn into your biggest disruption.
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8 Ways an MSP can help implement an AI solution

8 Ways an MSP can help implement an AI solution

AI has some real attractions, and now that it has become so advanced, it has gained the attention of the public and the media. However, just because something is a fad, doesn’t mean that it is either new or something everyone needs. Before an organization, especially a small- to medium-sized business, initiates the use of AI in its business processes, it needs to understand that because the tool is so powerful, it also comes with some real risks. Although its predictive capabilities can be transformative for business, they can also be wrong or present legal and ethical issues. As a result, businesses should utilize the experience and skills of experts with a deep knowledge of AI and how it may be applied to your specific organizational goals.

Eight ways an MSP can help with an AI solution

AI, on its own, is a complex tool. It is also a tool that can be misapplied. Remember, the term artificial is key. To be used effectively and wisely, AI needs to be applied by someone with experience using it in your particular business. An MSP can offer the following to help you begin to integrate an AI solution into any aspect of your business.

Step one: Are there potential places where you might use AI? This is where your MSP can be of help. They understand your business and can help identify where it might assist your operations or marketing, for example.

Step two: Understand your KPIs and organizational goals, from the top down. It is obvious, but too often forgotten. What are your goals? What are the measures of success? What do you identify as the key strategies? AI needs to fit into that framework.

Step three: Narrow down a range of possible AI solutions. An MSP is going to have enough depth of knowledge of AI applications to steer you to the most appropriate ones. goals.

Step four: Estimate the solution’s ROI. Measurement matters. You need to understand the costs and ROI of each possible collusion. Just because it is trendy doesn’t mean AI makes sense in all cases. This will guide you to make the most effective use of your resources.

Step five: Ensure compliance: For example HIPAA, PCI. HITRUST. ISO27001, SOC1, SOC2. AI is a powerful and potentially intrusive tool. Compliance is critical.

Step six: Get it up and running. An MSP can implement the solution for you. Most business owners do not have the resources available for what can be a very time-intensive project.

Step seven: Manage risks. Post-implementation: AI is a sophisticated tool, and things can go wrong and need ongoing monitoring, an issue that most businesses do not have the in-house resources to address. Examples of ongoing tasks include password management, security patches, and updates, as well as monitoring response

Step eight: Ongoing evaluation for effectiveness and reliability. Remember, nothing is stagnant in business. Technologies change, the competitive environment changes. Your organization moves forward. Make sure you commit to ongoing reviews of the effectiveness of your chosen solution.

In the end, AI can be useful. But, as with any powerful tool, it can cause a lot of trouble if used by an organization without experience. Small-to-medium-sized businesses lack the in-house IT resources and depth of knowledge to implement and maintain an AI infrastructure. An MSP can bring that to the table.

Eight ways an MSP can help with an AI solution

Eight ways an MSP can help with an AI solution

AI, on its own, is a complex tool. It is also a tool that can be misapplied. Remember, the term artificial is key. To be used effectively and wisely, AI needs to be applied by someone with experience using it in your particular business. An MSP can offer the following to help you begin to integrate an AI solution into any aspect of your business.

Step one: Assess your organization’s potential use of AI. Basically, with the holistic understanding of your business that an MSP has, they can evaluate where there is opportunity, and prioritize where to implement first

Step two: Understand your KPIs and organizational goals, from the top down. Before you do anything, it is essential to articulate your specific goals. What do you identify as the key strategies and how will you measure your success?

Step three: Propose a possible range of AI solutions. Here is an area where your MSP can be of particular value. An MSP will be knowledgeable about the variety of applications out there and lead you to select those most appropriate for your goals.

Step four: Estimate the solution’s ROI. Remember, measurement is important. And you can not do everything. So identify each potential AI solution’s ROI. This will guide you to make the most effective use of your resources.

Step five: Ensure compliance: For example HIPAA, PCI. HITRUST. ISO27001, SOC1, SOC2. AI is a powerful and potentially intrusive tool. Compliance is critical.

Step six: Implement the solution. An MSP can implement the solution for you. Most business owners do not have the resources available for what can be a time-intensive project.

Step seven : Manage tool-related risks. This is a post-implementation issue that most businesses do not have the in-house resources to maintain long term. Examples of ongoing tasks include password management, security patches, and updates, as well as monitoring response

Step eight: Ongoing evaluation for effectiveness and reliability. Remember, nothing is stagnant in business. Technologies change, the competitive environment changes. Your organization moves forward. Make sure you commit to ongoing reviews of the effectiveness of your chosen solution.

In the end, AI can be useful. But with any powerful tool, it can cause a lot of trouble if used by an organization without experience. Small to medium sized businesses lack the in-house IT resources and depth of knowledge to implement and maintain an AI infrastructure. An MSP can bring that to the table.

AI: Marketing and other sample uses- A quick introduction

AI: Marketing and other sample uses- A quick introduction

As you are likely very aware, Artificial Intelligence has become a real attention getter in the business world, as well as public media. One cannot be looking at the news everyday without coming across some article discussing AI. However, just because something is a fad, doesn’t mean that it is either new or something everyone needs. AI has been around for a long time. Anyone who has purchased something from a website is well aware of the “ others who bought “X”, have also been interested in …” feature. That feature has been around for decades. That feature is an example of AI. A simple but helpful understanding of AI is that it is able to attempt to find patterns and suggest predictions by sifting through enormous quantities of data. Quantities of data that would make seeing patterns an insurmountable human task.

Just to get a general understanding how AI is being used to meet organizational objectives, improve processes, marketing, recruiting, and even worker safety, let’s look at a few diverse examples.

Worker Safety: AI can sift through data to notice patterns of worker injury to identify safety problems in a manufacturing sector business. Simple aggregate statistics ( 5 injuries per day ) doesn’t help identify where the risks actually are, and certainly doesn’t identify key areas of risk) Where are things going wrong? Maybe patterns in time suggest worker fatigue. Maybe it identifies a certain activity that presents safety issues.

Demand Forecasting in Retail: Determining how much to stock of what item for a coming sales season can be as much an art as a quantifiable skill. As a result, companies can see real hits to the bottom line when they make a mistake. Just observing how much sold this month last year isn’t a sufficient predictor for the coming period. What about the weather? Bad economic news. Construction on a nearby road that is now finished this year. The endless factors that may influence buying decisions can be used to forecast demand more accurately.

Disease Screening in Healthcare: AI has the capacity to potentially use data to identify or eliminate certain diagnoses that an individual medical professional whose experience is necessarily finite, might be able to do. Like much else, there are ethical issues that can make AI a complex tool, but there is much potential.

Disease Tracking: The pandemic was practically an instructional video on the value of AI. Tools that could identify all of those who had likely contracted with someone who tested positive for Covid -19? That was AI at work.

Just in Time Inventory: Just in time inventory means that manufacturers avoid the costs associated with inventory that sit unused until needed. Identifying along a very long supply chain how inventory can be built and shipped to arrive just in time is no simple task. AI is a key component of that inventory model.

Customer Retention: Like other areas, you probably can collect more information about your customers than you can make sense of. So, why did they leave? You may have the answer, but it may actually be a calculus of many factors. AI can help identify all of the issues that may have led a customer to leave. Without AI, you may incorrectly attribute it to one single factor.

AI and Marketing: Why are marketers so interested?

AI has potential applications in the marketing end of any business, large or small. AI may offer you some new tools to more effectively market without expanding your present marketing resources. Marketers, in particular, may find AI useful in these three general categories-

Collecting Data about Prospective Customers– Even small businesses can collect a significant amount of data. AI can allow you to analyze that data. No matter how much data you collect, it is useless unless you can synthesize it, see patterns, etc. The human capacity to make sense of the massive amount of data we collect is limited.

Using Data to Market More Effectively– Even the most novice marketer knows that the more you know about each prospect the easier it will be to target them. The more you know their needs, the more you can explain how your product or service meets those needs. AI allows you to do more with the data you collect- to make sense of it so you can use it.

Generating the RIght Message– AI may be also able, to a certain degree, assist you in creating the messaging to reach your target. However, it is important to recognize that AI is not a silver bullet.

Marketing and AI

Marketing and AI

Suddenly, everyone is talking about artificial intelligence (AI). It is constantly in the news now. It suddenly is looming like some intimidating Terminator. However, AI is not a toggle switch that was suddenly turned on one day this year. AI is everywhere and has been around for far longer than most of us are aware. We just didn’t realize it.

Ever think about how Instagram shows you reels based on your past views? Youtube does the same. Amazon makes recommendations based on your browsing and purchase history. By the newest standard, that is old hat AI, but it is AI. Lately, significant advances have been made that increased the power of these learning algorithms exponentially. The new tools Chat GPT, BARD, Well-said are examples very widely covered in the media.

Why are businesses so interested?

There are a wide variety of uses for AI in the business space, from project management to customer service.
A bit of background, it might be helpful to take a quick survey of places where AI is being deployed.

Before looking at examples, let’s discuss why use AI in any area at all?

Given technology, any organization has the capacity to collect–from the perspective of a human–an incomprehensibly large amount of data on almost any subject. This data can be used to do many things, but there is so much of it, we have a limited capacity to see patterns and synthesize. AI has the capacity to do that.

Three examples:

Demand forecasting in retail: Who doesn’t want the magic bullet to decide how much to stock for each season? However, just observing how much sold this month last year isn’t a sufficient predictor. What about the weather? Bad economic news. Construction on a nearby road that is now finished this year. The endless factors that may influence buying decisions can be used to forecast demand more accurately.

Disease screening in healthcare: AI has the capacity to potentially use data to identify or eliminate certain diagnoses that an individual medical professional whose experience is necessarily finite, might be able to do. Like much else, there are ethical issues that can make AI a complex tool, but there is much potential.

Customer retention: Like other areas, you probably can collect more information about your customers than you can make sense of. So, why did they leave? You may have the answer, but it may actually be a calculus of many factors. AI can help identify all of the issues that may have led a customer to leave. Without AI, you may incorrectly attribute it to one single factor.

Why are marketers so interested?

AI has potential applications in the marketing end of any business, large or small. Marketers, in particular, may find AI useful in these three general categories-

Collecting Data about prospective customers – Even small businesses can collect a significant amount of data. AI can allow you to analyze that data. No matter how much data you collect, it is useless unless you can synthesize it, see patterns, etc. The human capacity to make sense of the massive amount of data we collect is limited.

Using data to market more effectively – Even the most novice marketer knows that the more you know about each prospect the easier it will be to target them. The more you know their needs, the more you can explain how your product or service meets those needs. AI allows you to do more with the data you collect- to make sense of it so you can use it.

Generating the right message – AI may be also able, to a certain degree, assist you in creating the messaging to reach your target. However, it is important to recognize that AI is not a silver bullet.

In short, AI may offer you some new tools to more effectively market without expanding your present marketing resources.

IT isn’t just about filling seats

IT isn’t just about filling seats

No matter the size of your business, no matter what the product or service, your company is at least partially reliant on technology to survive and function in today’s marketplace. It is just unavoidable. A significant portion of everyone’s business is online in some fashion or other. And internal operations and administration are dependent on databases, servers on-line access, etc. A large and diversified company has the depth of staffing to fully support all of its IT infrastructure needs. Unfortunately, this is not the case with small- to medium-sized businesses, and it is absolutely not the case for recent startups struggling to get a foothold in the market. SMBs are generally forced to focus all of their resources on the operations that drive revenues. For example, how many small firms have a trained human resource practitioner on board, even though the lack of one can leave them vulnerable to a number of legal and staffing issues? Very few. They just don’t have the resources to devote to anything that isn’t sales or a critical line operation. The same tends to be true for an IT infrastructure support staff and the personnel “required” to support it 24/7.

The question then arises, how does an SMB begin to bring on the necessary resources to support their IT needs? A common solution is to bring on a generalist who will act as the IT director/manager and then that person will bring on additional, more specialized staff as revenue growth permits.

This is a pretty standard model for addressing IT support needs for a growing SMB. But does that really make the most sense? The issue with this model is that it follows a typical, hierarchical company org chart, but doesn’t necessarily meet the needs of a SMB. The IT demands of a typical company are very diverse, and one individual doesn’t have the depth and breadth of experience to significantly support every corner of your IT infrastructure. When resources for IT staffing are limited, creating the IT department that covers everything can be unrealistic. Building out this traditional model takes time and resources to make sure you have the IT support that possesses all the diverse skills needed to meet the many requirements of a sound IT infrastructure. As a result, this model may not truly meet the immediate/urgent needs of a developing or transforming organization. The alternative IT support is not from an organizational chart approach but from a risk management one.

What do we mean by a risk management perspective? For any business, but especially a smaller one without deep pockets, the consequences of some disaster may mean the end of the business. As a result, risk evaluation becomes critical. There are an endless variety of events, from mishaps to major disasters that challenge your viability. Risk management inventories all of the possible risks that could befall the organization and places them in a hierarchy of significance. At the top are single points of failure disasters or extreme events that would shut down the business, at least temporarily. Risk management then works to channel limited resources toward mitigating the most serious risks. How does this reflect on how you bring on IT support in your business? You bring on the support, either through hiring or an MSP on the basis of where your IT infrastructure is most vulnerable, not on the basis on “positions’” to be filled. This is a different approach and more appropriate for a SMB that has limited resources.

Risk assessment: A Value model

Risk assessment: A Value model

Risk assessment means looking at all the conditions, situations and threats that exist that could damage or bring down your business. Risk assessment is all about identifying the external and internal threats that exist and measuring the likely consequences if that threat becomes reality. A data security risk assessment would identify what data you have, how you use it, how confidential it may be, how it is affected by regulations and the ways it could be compromised. A major focus of a data security assessment is cybercrime.

In terms of developing an IT staff, the alternative approach to building out a team is to determine your IT staffing needs in terms of risk assessment. That means evaluating risk and directing staffing resources to those areas where the risk is greatest and the consequences most severe. Basically, it is an evaluation on the ROI of your IT staffing in light of identified risk. In particular, what is the return on your risk management investment? The goal is to evaluate risk in light of business and operational consequences. Put simply, which point of failure leads to the most destructive consequences. Once that is determined your limited IT resources can be directed at those most critical areas.

In the short term, you can try to find the specific applicants that have what you need to plug the holes. Is that workable given the challenges to hiring? The market is very competitive.

The alternative is an MSP. Using a Managed Service provider for at least some of your most critical needs can be a very effective way of targeting your IT resources to where you are most vulnerable.

You have more freedom to move resources to where they are most needed.

Opting for an in-house IT team limits you in terms of scalability. You cannot just add or reduce the strength of your IT team anytime. Choosing a managed services provider, however, provides the flexibility to scale up or scale down your IT investment to suit your business needs.

You are better prepared for IT emergencies

Having a service contract with an MSP helps you tackle IT emergencies better because you get access to top-level IT expertise. An MSP’s core business is IT so they are naturally more knowledgeable and up-to-date when it comes to the latest IT challenges, including cybercrime. Plus, an MSP can deploy more resources if need be to solve your IT emergency, helping your business get back on its feet sooner.

You will be ahead of the curve

The IT industry is constantly evolving. The in-house IT team may find it challenging to keep up with the latest trends and norms of the IT industry as they will be caught up in managing the day-to-day IT activities at your office. Also, IT is a very broad field, and only a diverse IT team has the depth to cover all of the different areas. With an MSP, you don’t have to worry about how technology is changing. A good MSP will not only be up-to-date with the latest in tech but also advise you on what tech changes you need to make to stay ahead of the curve.

The lesson for hiring IT is that you should focus resources, be they in-house or external, on the areas where your business is at highest risk from a single point of failure or a cyber attack. Not all IT needs are equal, and traditional models don’t always recognize this. A Managed Service Provider can also assist you in determining a hierarchy of your IT needs.

Staffing should address risk first and foremost

Staffing should address risk first and foremost

For any business, but especially a smaller one without deep pockets, the consequences of some disaster may mean the end of the business. As a result, risk evaluation becomes critical. There are an endless variety of events, from mishaps to major disasters that challenge your viability. Risk management inventories all of the possible risks that could befall the organization and places them in a hierarchy of significance. At the top are single points of failure disasters or extreme events that would shut down the business, at least temporarily. Risk management then works to channel limited resources toward mitigating the most serious risks. Here are some examples of risk in the IT area that could be especially damaging if left unprotected

  1. Data Security and Cybercrime –
    1. Loss of data – Failed backups or human error can lead to lost data. Every business needs to have the IT expertise to ensure that quality backups are maintained, preferably in real-time
    2. Data breaches – More significantly, data is constantly at risk from crime. From malware to ransomware, viruses and cyber attacks can destroy a small business. Consequently, quality IT support is most critical in this area. It should be an issue of highest priority.
  2. Hardware redundancy – Your entire physical IT infrastructure represents a vulnerability. Single points of failure could shut down your business. Proper design of your infrastructure, and 24/7 monitoring of it is, again, a risk mitigation factor. How much evaluation has been done to determine your level of risk?
  3. Natural and human-made disasters – How prepared is your IT infrastructure to continue operations in the event of a flood, fire, or natural disaster that prohibits access to your physical location? How would you handle a long-term power of broadband outage? IT professionals skilled in disaster recovery can help you mitigate the risk in the face of a major event.

    The point here is not to list all the possible risks you face, but to recognize that IT support should be focused on the most critical areas. Whether you bring them in-house or use the services of an MSP, resources should be directed first at areas where the risk is greatest.

How can an MSP help support a risk-focused IT strategy?

  1. Hiring individual in-house support can be expensive and slow – Given the tight labor market, finding ideal candidates can be exceptionally difficult, and as a consequence, too expensive. An MSP represents a faster way to bring on support and can be utilized only when and where the most critical services are needed.
  2. Up-to-date support – Over-worked in-house IT staff in a small company may be too busy putting out fires to keep up with the latest developments in specific corners of their field. As a result, you may lack the knowledge depth needed on narrow but critical areas. IT is a very broad field, and only a diverse IT team has the depth to cover all of the different areas. With an MSP, you don’t have to worry about how technology is changing. A good MSP will not only be up-to-date with the latest in tech but also advise you on what tech changes you need to make to stay ahead.
  3. Scalability – The size of your in-house IT support staff is, in the short term, static. If you experience peak demand times, resources can be stretched to the point of being overwhelmed. .Choosing a managed services provider, however, provides the flexibility to scale up or scale down your IT investment to suit your business needs.
  4. 24/7 monitoring and availability – Until your organization gets big enough, an in-house IT staff cannot be available 24/7. Nor can it provide 24/7 monitoring for that part of your business that must be functional all the time. An MSp has the resources, because of economies of scale.

In the end, don’t think of IT support as “IT Hiring” instead, think of it as staffing. What is the best use of limited resources to meet your most immediate vulnerabilities? That is the best perspective to take on IT support when resources are limited.

Forego the standard IT staffing model?

Forego the standard IT staffing model?

From the outset, even the smallest start-up is reliant on an IT infrastructure. Digital technology cannot be avoided. For small-to medium-sized businesses, developing and bringing on staff to support that IT infrastructure is often a low priority compared to ramping up operations and meeting the revenues goals necessary to stay operational. Resources to address IT needs may not be available (for at least, perceived to be unavailable) Management is focussed on revenue growth and meeting operational and business requirements. Management may also be incentivized to direct available funds in these directions, rather than building out a robust and sufficiently risk averse IT infrastructure. Also, management may not have the background that provides sufficient experience to identify areas where IT staffing is necessary to maintain a stable and sustainable business.

In a small- to medium-sized business beginning to explore the development of an IT support staff, or even in a large organization undergoing significant transformation, there may be a tendency to begin the process of IT staffing with a top level individual–a CTO, IT director or IT manager. Once hired, that individual would be relied on to begin the process of building out an IT staff.

Problems facing organizations: initiating an IT staff build-out

For any organization, from a small firm looking to bring on its first dedicated IT staffer to a large organization, there are a number of hurdles that may be encountered. One of the most immediate is the shortage of available IT professionals. No matter what your needs, it may be difficult to find appropriately skilled applicants to meet your staffing requirements. This may mean that following the top-down development model may cause risky delays in your goal of protecting and securing the IT infrastructure needed to remain competitive. The job market in IT is especially competitive. This is just one reason we are suggesting that you consider setting aside the top-down build-out model and take a different approach.

Another reason that the top-down model may be problematic, especially for small- to medium-sized businesses, is that it may be a little too “perfect.” When resources for IT staffing are limited, creating the IT department that covers everything can be unrealistic. Creating this traditional model takes time and resources to make sure you have the IT support that possesses all the diverse skills needed to meet the many requirements of a sound IT infrastructure. As a result, this model may not truly meet the immediate/urgent needs of a developing or transforming organization. As ever, the perfect may be the enemy of the good.

So how does a firm looking to strengthen its IT infrastructure and protect itself from vulnerabilities–from cyber attack to single point of failure– protect itself? Lack of available applicants and limits make traditional build outs unrealistic. And will also take too long to address urgent needs.

In our next blog post we discuss a value based approach

Can a small business use AI?

Can a small business use AI?

One area where AI tools can help even the smallest business is in sales and marketing. Every business is marketing and selling in the online digital world. Marketing on social media is a given for every business, and can be a game-changer for a small startup. However, a lot of the tasks of marketing on social media and through your website can involve tedious, time consuming tasks. Marketing tools that use AI can help with drip email campaigns, website visitor tracking, and understanding where each customer exists in the sales funnel at any given moment. Other digital tools that increase customer engagement and drive sales are available and are an excellent introduction to AI as a marketing tool. Using these tools, you can focus your limited sales resources on other, more critical tasks such as closing a sale with a customer that is now ready to buy and not simply exploring vague options. These AI tools are readily available and your MSP can guide you in the adoption and use of them.

AI and that data you collect

An MSP or MSSP can also be a resource for data protection. As you begin using such tools, you amass enormous amounts of data about prospects as well as customers. How you hold, use, transmit and store this data is subject to some data regulations, either by your state, a federal agency, or even the European Union. Regulation is growing because of the increasing concern about an individual’s online privacy. Because so much personal data is being collected about each of us, there is increasing concern about misuse of that data, protecting it from bad actors, and other privacy rights issues. While you may not be physically located in a state that has data privacy regulations, if you conduct business in a state or country that regulates data privacy, you are likely subject to their rules. An MSP or MSSP is an important resource to determine where you are subject to those laws. More importantly, if you are subject to those laws (e.g. HIPAA, The FTC Safeguard Rules, the CA Privacy act or the General Data Protection Regulation of the EU), you may also be required to prove that you have developed protocols for the protection of data as defined under those regulations. It isn’t enough to say “everything is safe.” You may have to provide evidence you have created the specific data protection protocols specified under the regulation.

In short, AI can be a helpful tool to grow your business, but it comes with responsibilities and concerns that may not have concerned you before. An MSP is an important resource as you wade into the world of marketing, sales, and other operational areas.