Hey everyone, I’d like some feedback. I came across a Cybersecurity Manager role at an aviation company, and it got me thinking about whether AI systems could support this kind of work. The role involves cybersecurity operations, vendor risk, compliance frameworks, incident response, dashboards, executive reporting, and helping leadership understand risk. My question is: could someone with AI systems/process automation knowledge create real value in this space by building tools that support cyber teams? For example: - AI-assisted risk registers - Vendor risk review summaries - Compliance evidence tracking - Incident response documentation - Executive cybersecurity dashboards - AI-generated reports for leadership I’m not trying to position myself as a cybersecurity expert if I’m not one. I’m trying to understand the right angle. Would the better positioning be: “AI systems builder for cybersecurity operations” or “AI process improvement for aviation cybersecurity teams” or something else? I’d appreciate any honest feedback on whether this is a real opportunity, what skills I should build first, and how I should position myself without overclaiming.

I am new to this world so im unsure which direction to go in but so far i am trying to build an AI-powered business audit system that does not guess, hallucinate, or give generic advice. The goal is for the AI to look at a real business and identify real bottlenecks, missed revenue opportunities, operational leaks, and growth opportunities before suggesting any solutions. I do not want it to just say things like “run ads,” “post more content,” or “improve your website” without evidence. I want the AI to first understand: 1. What the business actually does 2. Who the customer is 3. How the business currently gets customers 4. Where revenue is being lost 5. What the industry pain points are 6. What competitors are doing better 7. Where customers are confused, dropping off, or not buying 8. What operations may be wasting time or money 9. What offers, upsells, premium tiers, or campaigns could realistically increase revenue 10. What changes would create one of these outcomes: - More customers - Customers worth more - Lower costs - Better retention - More efficient operations My question is: What would be the best process, framework, data sources, prompts, or workflow to create an AI business audit system that can diagnose a business accurately before recommending solutions? I’m especially looking for advice on: - What information the AI should collect first - How to verify problems instead of assuming them - How to separate real business issues from surface-level observations - What frameworks consultants or operators use to diagnose businesses - How to turn the audit into practical recommendations like marketing campaigns, upsells, premium offers, automation, cost cutting, or operational improvements - How to make the output useful enough that a business owner would say, “Yes, that’s a real problem in my business” Has anyone built something like this, or can point me toward the right structure? Feel free to tell me of this is a waste of time and pivot to specifics more valuable i am open to suggestions

having trouble getting into the community. I realized my email address is different from the email address used for the community

i need knowing how to brush an Agentic Workflow: Lead → Evidence → Pain Point → Demo Brief → Outreach. Anyone with experience can lead me into the right direction?

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