AI can help you build the plan. Human experience determines whether it will actually work.
Most business leaders know they should have a disaster recovery or business continuity plan. Far fewer are confident that the plan they have is current, complete, and ready to use if something actually goes wrong.
Often, the problem isn’t a lack of concern. It’s simply difficult to find the time to sit down and build a plan from scratch. There are systems to document, responsibilities to assign, vendors to identify, communication procedures to establish, and dozens of “what if?” questions that need answers. Faced with a blank document and a busy calendar, it’s easy to decide you’ll get to it next month.
This is one area where artificial intelligence can be genuinely useful.
AI won’t create business resilience for you, and it certainly can’t guarantee that your recovery strategy will work. What it can do is help you get past the blank page, organize information, ask better questions, and create drafts your leadership and technology teams can evaluate.
For professional services firms throughout Las Vegas and Southern Nevada, that’s a practical use of AI that can save time without handing over decisions that still require human judgment.
Here are five places where it can help.
1. Get important processes out of people’s heads
Every business has processes that depend heavily on individual employees. Someone knows which vendor to contact when a system goes down. Another employee understands how a critical application works. A department manager knows the workaround everyone uses when a particular process fails.
Everything is fine as long as those people are available.
The problem appears when they aren’t.
One of the most useful applications for AI is turning existing knowledge into a first draft of usable documentation. An employee could start with rough notes, bullet points, or a transcript explaining how a process works. AI can then organize that information into a clearer procedure for the team to review.
For example, you might document how employees should respond when a critical application is unavailable, who needs to be contacted during an outage, or what steps are required to restore access to an important business system.
The important word here is draft.
AI doesn’t know whether the employee forgot a step, whether the phone number is current, or whether the process will actually work under pressure. Someone who understands the business still needs to validate the information.
But reviewing a first draft is usually much easier than staring at a blank page.
2. Turn complicated plans into usable checklists
A 30-page business continuity plan may look impressive sitting in a folder. During an actual disruption, however, employees need to know what they’re supposed to do next.
That’s where checklists and response playbooks become valuable.
AI can help turn larger documents into shorter, role-specific instructions. Leadership might need a checklist covering decisions and client communication. Employees may need instructions for reporting an incident or accessing alternate systems. Your technology team or IT partner will need a more technical recovery sequence.
The same approach can be used to create first drafts for situations such as an internet outage, ransomware incident, data breach, extended power disruption, or loss of access to a critical cloud platform.
This can make a preparedness plan much easier to use, but the output still needs to reflect the realities of your organization. A CPA firm preparing for tax season has different operational priorities than a wealth management practice, insurance agency, engineering firm, or consulting company.
AI can organize the checklist. Your business has to decide what belongs on it.
3. Use AI to ask questions you haven’t thought about
One of the hardest parts of preparedness planning is knowing what you’ve overlooked.
Leadership teams naturally plan around situations they’re already familiar with. The more difficult risks are dependencies and scenarios no one has considered.
AI can be useful as a brainstorming partner here.
Instead of asking it to “write our disaster recovery plan,” give it a specific scenario. Ask what questions a professional services firm should consider if its internet connection is unavailable for an entire business day. Ask what operational dependencies should be evaluated if Microsoft 365 is inaccessible. Ask what information leadership would need if a key software vendor experienced a cybersecurity incident.
The value isn’t necessarily in the answers AI provides. The value is often in the questions it causes your team to discuss.
Maybe you discover that no one knows how employees would communicate without Microsoft Teams. Perhaps one vendor supports a more critical part of the business than leadership realized. Maybe a key process still depends on one employee who has never documented it.
Those discoveries give you something concrete to evaluate.
4. Make technical information easier for leadership to use
Business continuity decisions often involve technical information that wasn’t written for business leaders.
A backup report may contain everything a technician needs while telling a managing partner very little about what would actually happen during an outage. A cybersecurity assessment may identify vulnerabilities without making the operational consequences immediately obvious. System documentation may be accurate but filled with terminology that makes executive review difficult.
AI can help bridge that communication gap.
For example, leadership can use approved AI tools to summarize appropriate technical information, identify terms that need clarification, or generate questions to discuss with the organization’s technology provider.
The objective isn’t to turn executives into IT professionals. It’s to help them understand enough to make informed business decisions.
If a report identifies a recovery issue, leadership needs to understand what that means. Could employees continue working? Could clients be served? How long might operations be affected? Does the issue require immediate attention, or can it be incorporated into next year’s technology plan?
Good technology management depends on translating technical information into business impact. AI can assist with that translation, provided the underlying information is appropriate to share with the tool being used.
5. Keep the plan from becoming a time capsule
Creating a disaster recovery plan isn’t the end of the project.
Businesses change constantly. Employees come and go. Software is replaced. Vendors change. Phone numbers become outdated. New locations open. Responsibilities shift.
A recovery plan created two years ago may accurately describe a business that no longer exists.
AI can make routine maintenance easier by helping compare older procedures with new notes, reorganize updates into a consistent format, or identify sections that may need review after organizational changes. That lowers some of the administrative burden that causes documentation to become outdated in the first place.
Human ownership remains essential, however. Someone still needs to confirm that the information is accurate, approve changes, and ensure employees understand the current procedure.
A beautifully organized plan containing outdated information is still an outdated plan.
There’s One Important AI Rule Businesses Shouldn’t Ignore
There is an important caution that belongs in any discussion about using AI for preparedness planning: be thoughtful about what information you’re putting into an AI platform.
Professional services firms routinely handle confidential client records, financial information, employee data, contracts, internal system information, and other sensitive material. Copying that information into an unapproved AI tool can create a new risk while you’re trying to solve another one.
Before employees use AI with business information, leadership should understand which tools are approved, what information may be entered, how the provider handles submitted data, and what internal policies apply.
This is where AI adoption and cybersecurity strategy intersect.
The goal isn’t to prevent employees from using useful technology. It’s to establish enough governance that they can use it responsibly.
Where AI Stops And Real Preparedness Begins
This is the distinction that matters most.
AI can help you draft procedures. It can organize information. It can suggest scenarios and turn complicated documents into something easier to understand.
What it cannot do is restore your systems and prove that the recovery worked.
AI can’t confirm that your backups will perform under real conditions. It can’t verify that the recovery timeline in your plan is realistic. It doesn’t inherently understand which clients, systems, and workflows are most important to your organization. And during an actual outage, a polished AI-generated document is no substitute for experienced people who understand the environment and know how to respond.
That’s why testing matters.
A recovery plan shouldn’t only look good on paper. Your organization needs confidence that the people, technology, backups, communication procedures, and vendors behind that plan can perform when they’re actually needed.
Use AI To Start The Conversation, Not Finish It
September’s National Preparedness Month is a useful reminder that being prepared doesn’t require predicting every possible thing that could go wrong. It means understanding your most important risks and having a practical plan for responding to them.
AI can make that work easier. Used thoughtfully, it can reduce the friction involved in documentation, help leadership explore scenarios, and keep plans from becoming outdated.
But preparedness still requires something AI can’t provide: accountability.
At Orbis Solutions, we help professional services firms throughout Las Vegas and Southern Nevada evaluate the real-world side of business continuity. That means understanding critical systems and dependencies, validating backup and recovery strategies, reviewing cybersecurity risks, and helping leadership determine whether the plan on paper matches what would actually happen during a disruption.
Use AI to help build the first draft.
Then make sure the real world agrees with it.
If you’re not certain your current recovery plan would hold up under pressure, a Business Continuity Assessment with Orbis Solutions can help identify the gaps and give leadership a clearer picture of how prepared the business really is.