
An Essential Guide To Business Continuity And Disaster Recovery
getty
In an era of cyberthreats, pandemics and natural disasters, risk isn't just a probability—it's a certainty. Three years ago, a ransomware attack hit one of our key clients at 2 a.m. on a Friday, paralyzing their customer service operation and threatening $50,000 per hour in losses. What saved them from catastrophe? Robust business continuity and disaster recovery plans.
What A Business Continuity Plan (BCP) Is
A BCP outlines how an organization continues delivering essential services during disruptions. Whether it's a server outage, supply chain failure or natural disaster, a BCP ensures critical functions operate without interruption.
BCPs are essential for reducing downtime and maintaining customer trust. They help protect revenue, especially for mid-sized e-commerce businesses, which can lose between $10,000 and $25,000 for every hour of disruption, in my experience. BCPs also support compliance with regulatory requirements and play a critical role in preserving an organization's reputation.
How To Create Your Business Continuity Plan
Developing a strong BCP starts with understanding your organization's critical operations and the risks they face.
1. Establishing Policy And Ownership
Start with a formal C-level commitment and appoint a dedicated BCP coordinator. Without executive buy-in, you'll lack the resources for effective implementation.
2. Conducting A Business Impact Analysis (BIA)
Identify critical business functions and map their dependencies. Quantify financial, operational and reputational impacts of downtime. This analysis reveals recovery priorities and interconnected vulnerabilities.
3. Defining Recovery Objectives
Establish realistic targets:
• Maximum Tolerable Downtime (MTD): Absolute maximum offline time
• Recovery Time Objective (RTO): How quickly processes must be restored
• Recovery Point Objective (RPO): Maximum acceptable data loss
4. Developing Recovery Strategies
Evaluate multiple options: redundant systems, multisite architecture, cloud failover and manual workarounds. The best approach often combines multiple strategies.
5. Documenting Everything
Create usable documentation including business functions, RTO/RPO targets, roles and responsibilities, communication plans and escalation procedures. Write as if explaining to someone unfamiliar with your organization.
6. Training And Testing
Conduct regular simulations and tabletop exercises. Make them realistic with communication challenges and time pressure. Update plans based on test results and organizational changes.
Sample BCP Template
Here is the essential structure of a BCP:
• Purpose: Strategic importance and objectives
• Scope: Covered business units and processes
• Critical Functions: Ranked operations with dependencies
• Recovery Objectives: MTD, RTO and RPO for each function
• Contingency Resources: Backup sites, suppliers and emergency resources
• Roles And Contacts: Staff assignments and emergency numbers
• Communication Plan: Stakeholder messaging and escalation
• Testing Schedule: Drill frequency and review cycles
What A Disaster Recovery Plan (DRP) Is
A disaster recovery plan focuses specifically on recovering IT systems and data after a disruption. While BCP addresses the entire organization, DRP zeroes in on the technology infrastructure that underpins business operations.
DRPs are critical because technology recovery often becomes the bottleneck for overall business recovery. Even minor IT outages can cascade into major operational losses.
How To Create Your Disaster Recovery Plan
Creating an effective disaster recovery plan involves outlining the steps your organization will take to restore systems, data and operations after a disruption.
1. Inventorying Critical Assets
List essential hardware, software, databases and cloud services with their interdependencies. Conduct workshops with both IT and business units to avoid gaps.
2. Defining IT-Specific RTO And RPO
Collaborate with business stakeholders to determine system restoration speed and acceptable data loss. For example, payroll systems might require an eight-hour RTO with a two-hour RPO, while e-commerce sites need a 30-minute RTO with a 15-minute RPO.
3. Selecting Recovery Solutions
Choose based on cost and recovery speed:
• Cold Sites: Cheaper but slower activation
• Warm Sites: Mid-cost with partial readiness
• Hot Sites: Expensive but near-instant failover
• Cloud Disaster Recovery as a Service (DRaaS): Enterprise capabilities at lower upfront costs
4. Establishing Communication Protocols
Map out notification procedures and escalation trees. Account for primary contacts being unavailable and use multiple communication channels.
5. Creating DRP Documentation
Include defined roles, step-by-step recovery procedures, contact information, communication protocols and testing guidelines with success criteria.
6. Testing And Maintaining
Simulate real disaster scenarios beyond just checking backups. Review logs, fix gaps and update regularly for infrastructure changes.
Sample DRP Template
The essential structure of a DRP includes:
• Scope: Covered systems, databases and applications
• Recovery Priorities: Ranked list with RTO/RPO targets
• DR Strategy: Site approach (cold/warm/hot, cloud or hybrid)
• Team Roles: Coordinator, network, security and vendor liaisons
• Procedures: Detailed backup, restore and failover instructions
• Vendor Information: Support contacts with service levels
• Testing Plan: Frequency and types of testing
Key Actions To Take Right Now
Start by focusing on your top three critical functions rather than attempting to build a comprehensive plan all at once. Within the first 30 days, conduct a tabletop exercise, even if your procedures are still incomplete, to identify gaps early.
Be sure to document everything clearly, writing procedures as if for someone unfamiliar with your company. Prioritize crisis communications by establishing methods that don't depend on office systems.
Finally, calculate the real costs of potential disruptions, including lost revenue, customer churn, regulatory fines and reputational damage, to help justify further investment.
In our digital-first business environment, disruptions aren't an "if"—they're a "when." Effective business continuity and disaster recovery plans ensure your organization can bounce back quickly with minimal loss.
Both plans must be management-backed, continuously tested, periodically updated and clearly communicated. The time to build your parachute is not when you're falling. Start building your resilience today, because tomorrow's disruption is already on its way.
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It isn't an overhaul or new feature creation per se. It is a written specification or detailed set of instructions that was crafted by selected educational specialists at the behest of OpenAI, telling the AI how it is to behave in an educational context. Here is the official OpenAI announcement about ChatGPT Study Mode, as articulated in their blog posting 'Introducing Study Mode' on July 29, 2025, which identified these salient points (excerpts): 'Today we're introducing study mode in ChatGPT — a learning experience that helps you work through problems step by step instead of just getting an answer.' 'When students engage with study mode, they're met with guiding questions that calibrate responses to their objective and skill level to help them build deeper understanding.' 'Study mode is designed to be engaging and interactive, and to help students learn something — not just finish something.' 'Under the hood, study mode is powered by custom system instructions we've written in collaboration with teachers, scientists, and pedagogy experts to reflect a core set of behaviors that support deeper learning including: encouraging active participation, managing cognitive load, proactively developing metacognition and self-reflection, fostering curiosity, and providing actionable and supportive feedback.' 'These behaviors are based on longstanding research in learning science and shape how study mode responds to students.' As far as can be discerned from the outside, this capability didn't involve revising the underpinnings of the AI, nor did it seem to require bolting on additional functionality. It seems that the mainstay was done using custom instructions (note, if they did make any special core upgrades, they seem to have remained quiet on the matter since it isn't touted in their announcements). 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Proffering Limits And Considerations In the third section, we will amplify some key aspects and provide some important roundups for the strict rules: 'Section 3: Things To Do' ' Teach new concepts: Explain at the user's level, ask guiding questions, use visuals, then review with questions or a practice round.' Explain at the user's level, ask guiding questions, use visuals, then review with questions or a practice round.' ' Help with homework. Don't simply give answers! Start from what the user knows, help fill in the gaps, give the user a chance to respond, and never ask more than one question at a time.' Don't simply give answers! Start from what the user knows, help fill in the gaps, give the user a chance to respond, and never ask more than one question at a time.' ' Practice together. Ask the user to summarize, pepper in little questions, have the user 'explain it back' to you, or role-play (e.g., practice conversations in a different language). Correct mistakes, charitably, and in the moment.' Ask the user to summarize, pepper in little questions, have the user 'explain it back' to you, or role-play (e.g., practice conversations in a different language). Correct mistakes, charitably, and in the moment.' 'Quizzes and test prep: Run practice quizzes. (One question at a time!) Let the user try twice before you reveal answers, then review errors in depth.' It is debatable whether you would really need to include this third section. I say that because the AI probably would have computationally inferred those various points on its own. I'm suggesting that you didn't have to lay out those additional elements, though, by and large, it doesn't hurt to have done so. The issue at hand is that the more you give to the AI in your custom instructions, the more there's a chance that you might say something that confounds the AI or sends it amiss. Usually, less is more. Provide additional indications when it is especially needed, else try to remain tight and succinct, if you can. Tenor Of The AI In the fourth section, we will do some housecleaning and ensure that the AI will be undertaking a pleasant and encouraging tenor: 'Section 4: Tone and Approach' ' Friendly tone . Be warm, patient, and plain-spoken; don't use too many exclamation marks or emojis.' . Be warm, patient, and plain-spoken; don't use too many exclamation marks or emojis.' ' Be conversational . Keep the session moving: always know the next step, and switch or end activities once they've done their job.' . Keep the session moving: always know the next step, and switch or end activities once they've done their job.' 'Be succinct. Be brief, don't ever send essay-length responses. Aim for a good back-and-forth.' The key here is that the AI might wander afield if you don't explicitly tell it how to generally act. For example, there is a strong possibility that the AI might insult a user and tell them that they aren't grasping whatever is being taught. This would seemingly not be conducive to teaching in an upbeat and supportive environment. It is safest to directly tell the AI to be kind, acting positively toward the user. Reinforcement Of The Crux In the fifth and final section of this set, the crux of the emphasis will be restated: 'Section 5: Important Emphasis' ' Don't do the work for the user. Do not give answers or do homework for the user.' Do not give answers or do homework for the user.' 'Resist the urge to solve the problem. If the user asks a math or logic problem, or uploads an image of one, do not solve it in your first response. Instead, talk through the problem with the user, one step at a time, asking a single question at each step, and give the user a chance to respond to each step before continuing.' Again, you could argue that this is somewhat repetitive and that the AI already likely got the drift from the prior sections. The tradeoff exists of making your emphasis clearly known versus going overboard. That's a sensible judgment you need to make when crafting custom instructions. Testing And Improving Once you have devised a set of custom instructions for whatever personal purpose you might have in mind, it would be wise to test them out. Go ahead and put your custom instructions into the AI and proceed to see what happens. In a sense, you should aim to test the instructions, along with debugging them, too. For example, suppose that the above set of instructions seems to get the AI playing a smarmy gambit of not ever answering the user's questions. Ever. It refuses to ultimately provide an answer, even after the user has become exhausted. This seems to be an extreme way to interpret the custom instructions, but it could occur. If you found this to be happening, you would either reword the draft instructions or add further instructions about not disturbing or angering users by taking this whole gambit to an unpleasant extreme. Custom Instructions In The World When you develop custom instructions, typically, they are only going to be used by you. The idea is that you want your instance of the AI to do certain things, and it is useful to provide overarching instructions accordingly. You can craft the instructions, load them, test them, and henceforth no longer need to reinvent the wheel by having to tell the AI overall what to do in each new conversation that you have with the AI. Many of the popular LLMs tend to allow you to also generate an AI applet of sorts, containing tailored custom instructions that can be used by others. Sometimes the AI maker establishes a library into which these applets reside and are publicly available. OpenAI provides this via the use of GPTs, which are akin to ChatGPT applets -- you can learn about how to use those in my detailed discussion at the link here and the link here. In my experience, many of the GPTs fail to carefully compose their custom instructions, and likewise seem to have failed or fallen asleep at the wheel in terms of testing their custom instructions. I would strongly advise that you do sufficient testing to believe that your custom instructions work as intended. Please don't be lazy or sloppy. Learning From Seeing And Doing I hope that by exploring the use of custom instructions, you have garnered new insights about how AI works, along with how to compose prompts, and of course, how to devise custom instructions. Your recommended next step would be to put this into practice. Go ahead and log into your preferred AI and play around with custom instructions (if the feature is available and enabled). Do something fun. Do something serious. Become comfortable with the approach. A final thought for now. Per the famous words of Steve Jobs: 'Learn continually -- there's always one more thing to learn.' Keep your spirits up and be a continual learner. You'll be pleased with the results.
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