A Practitioner's Journey to Harnessing AI, Mastering Domain Translation, and Building Unshakeable Organizations.
Establishing our foundational concepts for the journey ahead.
An organization's ability to adapt, respond to, and spring forward from adversity while continuing to deliver on its core mission.
This isn't a static plan, but a dynamic capability. True resilience is a continuous, data-driven process that provides actionable insights. It's about being prepared not just to survive, but to emerge stronger from any challenge.
Systems that use existing data to create new, novel content. They leverage foundational models to understand natural language queries without programming.
Think of Generative AI as a powerful tool for novel content creation. While it's transforming industries, it requires human oversight to ensure accuracy and relevance, making it a partner in creation, not a replacement.
The qualities, behaviors, and decisions that stem from human experience, emotion, judgment, and empathy—distinct from automation or logic alone.
This is our unique contribution. In a world saturated with data, the ability to apply context, ethics, and creative intuition is what separates a good decision from a great one. Technology provides the what; we provide the why.
A compelling vision for human-AI collaboration—one built not on replacement, but on partnership. It's a human-centered approach where technology accelerates our capabilities.
It's not about replacing people, but empowering them. This synergy allows us to offload cognitive tasks, enhance our skills, and focus on what we do best: lead, create, and connect. The future isn't man vs. machine; it's man with machine.
As AI capabilities commoditize, the scarcest resource isn't raw intelligence—it's direction. The Domain Translator is the person who wins because they know which problem deserves to be solved, in which context, and for which people. They communicate fluently between the world of AI systems and the world of human problems.
For years, building software for specialized issues—like a solution for 200 hospital disaster recovery coordinators—was cost-prohibitive. AI changes the denominator. By making deployment cheaper, problems that were economically invisible are now viable. The Domain Translator converts their earned context into economic value by knowing precisely how to aim these accessible models.
Think of them less like a developer and more like a great editor. Toward the technology, they ask: What problem structure does this require (classification, generation)? Toward the domain, they ask: Where does the workflow break, and who bears the cost of failure? They don't just write code; they frame the context so the tool actually lands.
Effective governance isn't a barrier; it's a competitive advantage. Those who harness AI responsibly will gain a significant edge over those who resist or fail to adapt.
Use AI in at least one function
Source: McKinsey State of AI 2025
Have formally defined oversight roles
Source: IAPP AI Governance Profession Report 2025
Have an enterprise-wide governing council
Source: McKinsey State of AI 2024
AI Management System
Treat AI tools as managed organizational assets — risk assessment, roles, controls. If you're already 22301-certified, this is a natural extension.
Regulation (EU) 2024/1689
Critical infrastructure, healthcare, public safety = HIGH RISK AI. Mandatory conformity assessments, technical documentation, and human oversight required.
Govern · Map · Measure · Manage
Voluntary US framework. Four functions map directly to BCM risk language. De facto enterprise standard for US organizations.
AI doesn't know what it doesn't know. It fabricates citations, procedures, and contacts with complete confidence. You are the expert. Verify before you use.
Your data classification policy applies to AI inputs. If it wouldn't go on a public server, it doesn't go into a public AI model. Full stop.
Record your prompts, verification steps, and review decisions. Auditable AI is defensible AI. If you can't explain how you produced it, you can't own it.
No AI-generated content goes out the door without human review. Crisis comms with a hallucinated fact. An exercise citing a policy that doesn't exist. Review. Every time.
Because only 18% of organizations have an enterprise-wide council with authority to govern AI, you are likely building this yourself. The plan is yours, the data is yours, the risk is yours.
10 Immediate Actions for Resilient AI Integration
A comprehensive approach requires integrating AI into existing organizational risk management frameworks. It's a continuous cycle of assessment, monitoring, and adaptation.
See how AI can streamline your work and boost your team's effectiveness.
A "Choose Your Own Adventure" interface for compiling complex tabletop prompts.
Inject a real-world scenario from the threat library (e.g., Nationwide Cell Blackout, Ransomware). This establishes the foundational "truth" of your simulation.
Define the context: Select the Industry, choose the Facilitator Persona, and set the Time Scale (from a 10-minute 'Nano Blitz' to a 2-hour 'Mega Deep Sim').
TableShop automatically converts your selections into a compiled prompt logic block. Just copy the generated logic and paste it into your AI (Gemini, ChatGPT) to instantly generate a full exercise guide.
TableShop is designed specifically for the Domain Translator. You don't need to be a prompt engineer to build an exercise. You just need to know who is in the hot seat, what industry constraints matter, and how aggressive the threat should be.
Take a clear photo of your handwritten notes, whiteboard session, or any physical document like a go-live readiness checklist.
Upload the image to a multimodal AI model (like Google Gemini) and ask it to transcribe the text and understand the structure.
Prompt the AI to convert the raw text into a structured format. Ask for a summary, key components identified, a list of action items, and recommended next steps, all ready to be shared with your team.
Gather all relevant governing documents: internal policies, and external standards like ISO 22301, NIST 800-34, and FFIEC handbooks.
Upload the documents to an AI tool and prompt it to cross-reference them. For example: "Create a matrix showing which of our internal policies map to the requirements in ISO 22301, NIST 800-34, and the FFIEC handbook."
The AI will generate a structured output, such as a CSV or markdown table, showing the relationships. Review this data for accuracy and ask the AI for refinements to create a final, consumable compliance matrix.
Provide the AI with all available data from an incident, such as IT tickets, system logs, user reports, and communication transcripts.
Ask the AI to perform a "5 Whys" analysis on the provided data to drill down to the potential root causes of the incident, moving beyond surface-level symptoms.
Finally, ask the AI to generate a concise executive summary of the findings, the root cause analysis, and a list of recommended next steps for remediation and prevention.
Collect key documents: the job description, your resume, and organizational materials like the mission statement, DEI policies, and cultural values.
Use a tool like Google's NotebookLM to create a new project. Upload your collected documents and add relevant web URLs (like the company's 'About Us' page) as sources.
Ask the AI to create a briefing doc, a study guide, an FAQ, and even an AI-generated podcast summarizing key themes. Then, use the interactive chat to run a personalized mock interview, receiving feedback and coaching.
Personas transform abstract data into relatable characters, ensuring your strategy resonates with real people. This fosters empathy and leads to more effective, human-centered decisions.
Clearly state the purpose. Are these personas for marketing, crisis communications, or UX design? Defining the goal ensures the personas are fit for purpose.
Collect demographic, psychographic, and behavioral data from surveys, interviews, and analytics. Synthesize public information about your target audience.
Feed the data to an AI and prompt it to identify key patterns, common pain points, motivations, and communication preferences within the dataset.
Ask the AI to generate a narrative-driven profile based on its analysis, including a name, an AI-generated photo, backstory, goals, challenges, and key quotes.
This is a crucial step. Review the AI-generated persona with human stakeholders. Use your intuition and expertise to refine details, ensure authenticity, and align with organizational knowledge.
Use the persona to guide decisions. For example: "Acting as 'Maria the Small Business Owner', how would you react to this press release?" Continuously update the persona as new data becomes available.
Great results come from great instructions. This involves both Prompt Engineering (what you ask) and Context Engineering (what the AI knows).
Think of it like briefing a new team member. You wouldn't just say "Write a report." You'd provide the context (background, audience, goals) and then the prompt (the specific task). This is where the Domain Translator excels. They operate at the level of problem selection and context framing—understanding that a project fails when the wrong question is asked, in the wrong context, for the wrong stakeholder.
This is the practice of designing the perfect instruction. It's the active, direct command you give the AI. A well-crafted prompt is specific, clear, and guides the AI toward the desired structure and content.
Focuses on: The "What"
This is the practice of providing the AI with the right background information. It's the knowledge base or "world" the AI should operate within. Good context grounds the AI in your specific reality, using your data and your rules.
Focuses on: The "Who, Why, and Where"
A great prompt without context is like asking a brilliant but uninformed stranger for advice. Great context without a clear prompt is like handing someone a library and expecting them to write a specific book. You need both.
Clearly define the desired output format, length, and content.
Give the AI a role or persona (e.g., "Act as a cybersecurity analyst...").
For complex tasks, use multiple prompts. Ask for an outline first, then flesh out each section.
Provide examples of the desired output style or format.
Include important terms to guide the AI's focus and ensure they are covered.
Don't expect perfection on the first try. Refine your prompt based on the AI's output.
These "copy-paste" ready prompts leverage Role-Based Prompting. They force the AI to adopt a specific mental model and set of constraints, demonstrating exactly how a Domain Translator converts earned context into actionable intelligence.
Goal: Threat Simulation
"Act as a sophisticated, motivated Cyber Threat Actor specializing in social engineering and ransomware targeting critical infrastructure. You have detailed knowledge of corporate vulnerabilities but limited resources.
Your goal is to bypass our perimeter defenses. Based on standard corporate IT structures, propose three specific, non-obvious attack vectors you would attempt first. Then, write a realistic ransom note that would appear on a C-level executive's laptop, using psychological pressure tactics rather than just technical threats."
Goal: Compliance & Governance
"Act as a senior ISO 22301 Lead Auditor with 20 years of experience in the financial services sector. You are known for being meticulous, skeptical, and focused on 'evidence of effectiveness' rather than just documentation.
Review the attached Business Continuity Plan summary [insert text/upload file]. Critique it specifically for alignment with ISO 22301 Clause 8 (Operation). Identify three specific areas where the plan is vague, untestable, or likely to result in a non-conformity finding during an audit. Be direct and critical."
Goal: Reputation Management
"Act as a Crisis Communications Director for a Fortune 500 company, specializing in reputation management and human-centric leadership. Your tone should be transparent, empathetic, and reassuring, but authoritative.
We have just experienced a [Event: e.g., workplace violence incident / massive data breach]. Draft an initial email to all employees. The goal is to acknowledge the situation, prioritize their safety/mental health, and provide immediate next steps without speculating on the cause. Avoid corporate jargon and 'thoughts and prayers' clichés."
Goal: Stress Testing
"Act as a High-Anxiety Board Member who does not understand technical IT jargon but is terrified of stock price impacts and personal liability.
I am the Incident Commander. I just briefed you that our ERP system is down for at least 24 hours. Respond to me with 5 rapid-fire, difficult questions that challenge my competence and demand impossible guarantees. Do not be polite; be demanding and fearful."
Goal: Strategy Validation
"Act as a Strategic Risk Consultant hired specifically to poke holes in our logic. You use mental models like 'Second-Order Thinking' and 'Inversion.'
I am proposing a strategy to [Strategy: e.g., move all critical workloads to a single cloud provider to save money]. Ruthlessly dismantle this strategy. Tell me exactly how this creates a single point of failure, what hidden costs I am ignoring, and why this will fail catastrophically during a regional outage."
When using these personas, use a technique called "Few-Shot Prompting" if the initial output isn't quite right.
Example: After the AI responds as the "Ruthless Auditor," if the feedback is too generic, say:
"That was too soft. Dig deeper. Cite specific sub-clauses of ISO 22301 and give me an example of a 'Major Non-Conformity' based on the text I provided."
| Timeline Phase | Target Persona | Objective | Prompt Structure to Use |
|---|---|---|---|
| Phase 1: Detection (Hours 0-2) |
The Red Team Adversary | Create the "inciting incident" or technical trigger. | "Act as a [Threat Actor]. Generate a specific, ambiguous technical error message or ransom note that a Level 1 Helpdesk analyst would see. Make it look suspicious but not immediately obvious as a catastrophic breach." |
| Phase 1: Detection (Hours 0-2) |
The Panicked Stakeholder | Simulate immediate confusion and pressure. | "Act as a [Sales VP] trying to close a deal. Write a furious email to IT demanding to know why the CRM is slow, unaware of the cyber event. Use high-stress, demanding language." |
| Phase 2: Containment (Hours 2-12) |
The Ruthless Auditor | Force teams to think about evidence preservation amid chaos. | "Act as a [Forensic Auditor]. The team is discussing wiping servers to restore quickly. Interject with a warning about chain of custody and legal liability if they destroy evidence. Be citing specific legal risks." |
| Phase 2: Containment (Hours 2-12) |
The Empathetic Communicator | Test the "holding statement" strategy. | "Act as the [PR Director]. Social media is leaking rumors of the breach. Draft a 'Holding Statement' that acknowledges the issue without confirming data loss, striking a balance between transparency and caution." |
| Phase 3: Recovery (Hours 12-48) |
The Devil’s Advocate | Challenge the decision to "flip the switch" back on. | "Act as a [Risk Officer]. The CIO wants to restore from backups immediately. Argue against this. Point out that we haven't identified the 'Patient Zero' vulnerability yet and we might just re-infect the clean environment." |
Generate a full 30-minute exercise narrative in one shot by assembling the personas into a sequential mega-prompt.
Context: We are running a Tabletop Exercise for a [Industry, e.g., Regional Bank].
Scenario: A supply chain ransomware attack via a third-party vendor.
Task: Act as a Master Exercise Facilitator. Create a 3-Move Exercise Script based on the phases below. For each move, use the defined Personas to create realistic "Injects" (emails, error logs, or phone transcripts).
1. Move 1 (The Discovery): Use the Red Team Persona to reveal the breach subtly. Use the Panicked Stakeholder Persona to add noise.
2. Move 2 (The Escalation): Use the Ruthless Auditor Persona to complicate the technical recovery. Use the Empathetic Communicator Persona to manage a media leak.
3. Move 3 (The Dilemma): Use the Devil's Advocate Persona to force a difficult decision regarding paying the ransom vs. a long restoration time.
Output Format: Provide a clear timeline, the specific text of the injects (as handouts), and one "Discussion Question" for the facilitator to ask after each move.
Turn messy, handwritten notes into a structured, actionable report. (Remember to sanitize PII and sensitive data first!)
"Act as a Senior Business Continuity Consultant. I am going to paste the raw notes from our recent Ransomware Tabletop Exercise below. Your task is to write an Executive Summary for the Steering Committee. Do not get bogged down in technical minutiae; focus on strategic impact.
Structure the output: 1. Executive Overview (3 sentences), 2. Top 3 Strengths (citing examples), 3. Top 3 Critical Gaps, 4. Strategic Recommendation.
Constraint: Only use provided notes. Do not hallucinate. [PASTE NOTES]"
"Act as a Root Cause Analysis (RCA) Expert trained in Six Sigma methodologies.
Context: During the exercise, we observed the following failure: [Insert specific failure].
Task: Perform a '5 Whys' analysis on this failure to find the root cause. Do not stop at 'user error.' Dig into process, redundancy, and training failures.
Output: Why 1, Why 2, Why 3, Why 4, Why 5 (Root Cause), and Proposed Remediation."
"Act as a Project Manager specializing in Remediation. Based on the 'Critical Gaps' identified previously, generate a Corrective Action Plan (CAP) table. For each gap, create a SMART Goal (Specific, Measurable, Achievable, Relevant, Time-Bound).
Format as a Table: | Gap | Proposed Action | Responsible Role | Success Metric | Estimated Timeline |
Example logic: If gap was 'outdated contact lists', action is 'Implement automated validation', not just 'update lists'."
Bonus: The Sentiment Check
"Analyze the tone and sentiment of the participants in this transcript. Did the team sound panicked, collaborative, or combative? Identify moments where communication broke down due to stress or lack of clarity."
Each leap forward in AI capability brings a corresponding shadow of risk. Explore the two-sided coin of these powerful technologies.
Understanding AI's strange behaviors is key to using it wisely. Let's explore some of its most fascinating and counter-intuitive traits.
An AI hallucination is when the model generates information that is factually incorrect, nonsensical, or disconnected from the provided source material, yet presents it with complete confidence. It's not "lying," as there's no intent, but rather a byproduct of its predictive nature filling in gaps with plausible-sounding—but false—details.
"This is one of the biggest hurdles for enterprise adoption and highlights the non-negotiable need for a human in the loop to verify critical information."
This is the unsettling feeling we get from AI-generated content (images, voices, etc.) that is almost—but not quite—human. The small imperfections create a sense of unease or creepiness.
"For building trust, it's often better for AI to be clearly artificial rather than a poor imitation of a human. Authenticity, even artificial authenticity, matters."
AI models don't read words; they break text down into "tokens" (pieces of words). Every token in both your prompt (input) and the AI's response (output) has a computational cost. This means longer, more conversational prompts are literally more expensive to process.
"Being polite with 'please' and 'thank you' can cost companies millions in extra fees at scale. Where brevity is currency, every word has a price."
This is our natural human tendency to attribute human traits, emotions, and intentions to non-human entities, including AI. We often interact with chatbots as if they were conscious beings.
"Our interactions with AI reflect who we are, like a 'mirror, mirror on the wall.' When we communicate thoughtfully, we often get better responses, creating a positive feedback loop."
Adopt AI thoughtfully. This "Crawl, Walk, Run" approach helps build momentum while managing risk.
Start with low-risk tasks. Use AI to summarize meetings, brainstorm ideas, or polish your writing. Get a feel for it and build confidence.
Move to more complex work, like analyzing data or drafting reports. Always have a human review the output carefully.
Integrate AI into important processes. Empower your Domain Translators to deploy micro-solutions against niche workflows that were previously economically invisible. This requires strong governance and a culture of responsible use.
Let's explore how these strategies can be tailored to your organization. Get in touch to start the conversation.
Your journey doesn't end here. Use these resources to stay curious and informed.
With over a decade of transformative experience, Jason is an enterprise resilience expert who pioneers human-AI integration at Whirlybird Labs. He translates complex concepts into accessible strategies, championing the critical balance between artificial intelligence and human wisdom.