Most businesses understand the value of having a disaster recovery or business continuity plan. Keeping that plan current, relevant, and tested can be more challenging.
That isn't necessarily because businesses don't care about preparedness. Often, the challenge is simply getting started.
People are generally better at reviewing and improving something than creating it from a blank page. Give a team a rough draft and they can identify what's missing, what needs to change, and what may not work in practice.
That's one area where AI can be useful.
AI shouldn't replace disaster recovery planning or professional judgment. But it can help teams organize information, create initial drafts, and identify questions worth exploring.
Here are five ways AI can support the process.
1. Document processes faster
One of the challenges of preparedness planning is getting important processes out of people's heads and into documentation that others can understand.
AI can help turn rough notes, meeting transcripts, or bullet points into structured first drafts.
For example, it could help organize information about:
- How employees regain access to a key system
- Who should be contacted during an outage
- What steps employees should take when a critical application is unavailable
- Which departments or vendors may need to be involved
The resulting document should be reviewed by the people who understand the business and the systems involved.
AI can help create the starting point, but people remain responsible for determining whether the information is accurate and appropriate.
2. Create checklists and response playbooks
A preparedness plan can be easier to use when important actions are organized into clear steps.
AI can help create initial drafts of checklists or response playbooks for scenarios such as:
- An unexpected system outage
- A data security incident
- Severe weather or another physical disruption
- Loss of access to a critical application
- A ransomware incident
It could also help structure an outage communications checklist, business continuity checklist, or employee response guide.
Again, the AI-generated content should be treated as a starting point rather than a finished plan.
AI doesn't automatically know your business, customers, technology environment, contractual obligations, or applicable regulatory requirements. Those factors need to be considered and reviewed by the appropriate people.
3. Identify questions and potential gaps
One of the harder parts of preparedness planning is knowing which questions to ask.
AI can help generate questions that your team may want to consider.
For example:
- What happens if our internet connection is unavailable for eight hours?
- Which systems would have the greatest operational impact if they became unavailable?
- What dependencies should a manufacturing business consider?
- Which areas are commonly overlooked in a small business continuity plan?
- How would employees communicate if our normal collaboration platform wasn't available?
AI won't know which risks are most important to your specific organization without appropriate context.
However, it can help surface potential dependencies, scenarios, and questions for your team to investigate further.
4. Simplify technical information
Technical documentation isn't always written with business leaders in mind.
Backup reports, security findings, system documentation, and vendor reports can contain useful information while still being difficult to translate into business decisions.
AI can help summarize technical material and explain terminology in more accessible language.
For example, it might help a leadership team understand:
- What a technical report is describing
- Which business functions may be affected
- Which questions should be raised with an IT provider
- Which items may warrant further investigation
The goal isn't for every leader to become a technical expert.
It's to help the appropriate decision-makers understand enough context to ask informed questions and determine what may require attention.
Sensitive or confidential information should also be handled according to your organization's AI policy and the specific data-handling terms of the AI service being used.
5. Keep documentation current
Business documentation can become outdated as organizations change.
Employees change roles, applications are replaced, vendors change, and processes evolve.
AI can assist with the maintenance process.
For example, it can help:
- Compare an older procedure with newer notes
- Standardize formatting across documents
- Turn meeting notes into proposed documentation updates
- Identify sections that may need review
- Create a draft revision based on documented changes
Human review remains essential.
AI can help streamline the editing process, but your organization still needs to determine what information is accurate, approved, and appropriate for employees to follow.
Where AI stops
The usefulness of AI in preparedness planning has limits.
AI can help organize information and generate ideas, but it shouldn't be treated as proof that a recovery strategy will work.
For example, AI can't independently:
- Test your backups or confirm that a recovery process works in your actual environment
- Determine whether a recovery timeline is achievable for your specific operations
- Fully understand your business's operational dependencies without appropriate information and human review
- Coordinate employees during an active incident
- Take responsibility for business continuity decisions
- Replace the expertise and accountability of the people responsible for your systems and operations
Those areas require appropriate planning, testing, ownership, and professional judgment.
Where an IT partner can fit
A recovery plan can look comprehensive on paper while still containing assumptions or untested procedures.
An IT provider can help review technology dependencies, assess backup and recovery processes, identify areas that may need additional testing, and help connect technical recovery procedures with your business priorities.
Where appropriate, recovery testing can provide additional information about whether documented procedures work as expected in the actual environment.
That distinction matters.
A polished document is not the same thing as a tested recovery process.
AI can help make the planning process more efficient. Human expertise, organizational knowledge, and appropriate testing help determine whether the resulting plan is practical for your business.
AI can help you get started
AI can be a useful tool for organizing information, drafting documentation, and prompting conversations your team may not have considered.
But preparedness ultimately depends on more than generating a document.
It requires understanding your business, identifying important dependencies, establishing responsibilities, and reviewing or testing the processes that matter most.
If you're curious about how AI and proactive disaster recovery planning could work together, schedule a 10-minute discovery call with our team.
We'll discuss where your preparedness efforts currently stand and identify areas that may benefit from additional planning, documentation, or testing.
Call us at 206.414.7441 or visit www.cgtechservices.com to schedule your discovery call.