FAQ
Real questions. Straight answers.
Whether you manage the crew, own the safety program, or sign the budget, here are the honest answers to what buyers in your seat typically ask.
For Branch Managers
Managing the crew and the operation.
My foremen are already stretched thin. Is this going to be more work for them?
The whole design premise is the opposite. Foremen open the app on their phone, work through a checklist built for their scope of work, flag anything AT-RISK with a quick comment and a photo, and submit. No double-entry, no paperwork to transcribe later. The AI does the analysis on the back end. A crew that used to spend 20 to 30 minutes writing up observations by hand can get it done in 5 to 7 minutes in the field. If the safe way is not also the easy way, people will not do it consistently.
What if some of my guys do not speak English?
The entire app runs in English and Spanish, every screen, every prompt, every AI response. A foreman can switch languages in their profile and the whole experience follows. Comments entered in Spanish are automatically translated so the analysis runs correctly regardless of which language the foreman used. No one gets left out because of language.
What happens on a job site with no cell signal?
That is a real limitation worth naming. Aegis is a web-based platform and requires a connection to submit inspections and get AI analysis. On sites with no signal, most foremen work around it the same way they always have (notes and photos saved locally) and sync when they are back in range or on Wi-Fi. An offline-first native app is on the roadmap, but it is not built yet.
How long does it take to get my crew up and running?
For foremen, the learning curve is minimal. It is a checklist on a phone, not a software training course. Most pick it up in one walkthrough. On the admin side, an account can be configured, org set up, scope selected (say, OSHA Construction), and checklists active, in under an hour. No IT project required to get started.
What does the AI actually do, and can I trust it?
The AI does two things. First, it reads every comment your foremen write on AT-RISK observations and scores them for detail and clarity, so you can coach foremen to write observations that are actually actionable, not just "unsafe condition noted." Second, it surfaces patterns across all your inspection data and lets you have a real conversation with your dashboard: Where are my highest-risk areas this month? What hazard categories keep showing up across my crew? It does not make employment decisions. It gives you the analysis; you make the call. As for accuracy, the AI is loaded with the full text of the applicable regulations (OSHA 1926, MSHA, DOT, whichever your org is scoped to), not a summary. It cannot miss a regulation the way a search-based system can.
How is this different from the paper forms and spreadsheets we are already using?
Paper forms and spreadsheets capture data. Aegis analyzes it. The moment a foreman submits an inspection, the dashboard updates automatically. No one has to compile it, export it, or build a pivot table. The AI can tell you which job sites are trending worse, which foremen need coaching on comment quality, and what your top hazard categories were last month. You can ask it in plain English and get a direct answer. That is the gap paper never closes: you have the data, but it takes a safety manager half a day to explain what it means.
For Safety Managers
Owning the safety program.
Is this going to replace me?
No, and that is not just a sales line. Safety managers are the ones who know what the AI does not: the crew dynamics, the specific equipment quirks, the history of a particular job site. What Aegis replaces is the administrative grind, compiling inspection logs, chasing down paper forms, writing up findings manually. The AI handles the pattern-spotting and the first pass at analysis. You handle the judgment calls, the coaching conversations, the relationships. If anything, a safety manager with Aegis can see what is actually happening across their entire operation in real time instead of finding out about a trend three weeks after the fact.
What regulations does the AI actually know?
The AI is loaded with the verbatim text of the applicable regulations, not summaries or paraphrases, for the industries your org is scoped to. Right now that includes OSHA 1926 (Construction), OSHA General Industry, MSHA, DOT/motor-carrier regulations, and Colorado Asbestos. When your org selects a scope, the full text of those standards is part of every AI analysis. It can cite specific subparts. It will not hallucinate a regulation it does not have because the whole corpus is loaded, not searched.
How does it handle OSHA recordkeeping and incident tracking?
Aegis is an inspection and observation platform, not a dedicated recordkeeping system. It does not auto-populate your 300 log. What it does is give you a timestamped, documented trail of every AT-RISK observation your foremen flagged: what was noted, when, on which job site, by whom, and what the AI scored it. That documentation can support your recordkeeping process. If you are looking to replace your 300-log system specifically, that is a different tool. Aegis is the early-warning layer, not the incident-management back end.
Can I customize checklists for our specific hazards and job types?
Yes. Checklists are built per scope and can include custom questions specific to your operation. The checklist your ironworkers see can be different from what your scaffold crew sees. The admin sets up the checklists; foremen run them in the field. That customization is part of the initial setup process.
What if the AI gives wrong or misleading guidance?
That is the right question to ask. The AI is explicitly designed not to make employment or disciplinary decisions. It analyzes and explains; it does not decide. For regulatory guidance, the AI references the verbatim regulation text rather than a model-generated summary, which significantly reduces the risk of a wrong answer. That said, no AI system is infallible. The position is: the AI gives you better information faster, and the safety manager or manager reviews that information and acts on their own judgment. Any guidance it gives should be verified against current standards for high-stakes situations.
I have tried safety apps before and they never stick with the crew. Why would this be different?
Most apps fail because they add friction without removing any. They are designed for the compliance team, not for the person in the field at 6 a.m. Aegis was built from the field perspective: the foreman flow is a mobile-first checklist on a phone, not a desktop form shoehorned onto a small screen. The bilingual support means no one gets slowed down by a language barrier. And because the AI gives foremen feedback on their comment quality over time, there is an actual coaching loop. Foremen see that their observations are being read and acted on, which builds the habit. Adoption still depends on leadership reinforcing it. The tool makes it easy; the branch manager makes it expected.
For Operations and Safety Executives
The business case and the risk picture.
What is the business case? What does this actually save me?
The primary value is getting ahead of incidents instead of reacting to them. A recordable injury on a large construction project costs $40,000 to $150,000 in direct and indirect costs by most industry estimates, and that is before OSHA fines, litigation risk, and the impact on your EMR. Aegis gives your safety team real-time visibility into where risk is concentrating across your operation, so they can intervene before something becomes a recordable. The secondary value is time: eliminating the manual compilation work that most safety managers spend 30 to 40 percent of their week on. That is time redirected to field presence and coaching. The direct software cost is a fraction of a single recordable.
How does this reduce our recordable incident rate?
The mechanism is early identification and coaching, not compliance theater. When foremen document AT-RISK conditions consistently, and when the AI surfaces which hazard categories are repeating across your sites, your safety team can target interventions before those conditions produce an injury. The lagging indicator (TRIR) improves when the leading indicators, observation quality, at-risk pattern density, coaching responsiveness, are well-managed. Aegis is built around those leading indicators. We will not claim a specific percentage reduction; that depends on your baseline and how well your team uses the data. But the causal chain is sound.
What does the data security and privacy story look like?
Inspection data is stored in a multi-tenant database with row-level security. Your organization's data is logically isolated from every other tenant. The platform runs on Supabase (Postgres-backed, SOC 2 Type II infrastructure) deployed via Vercel. No raw photos are retained beyond 90 days. The AI analysis uses Anthropic's Claude API; under Anthropic's commercial API terms, input data is not used to train future models. Our Terms of Service and Privacy Policy are published, and the Terms incorporate our data-processing commitments, including breach notification and advance notice before we add a sub-processor, with a right to object. If your procurement process requires these documents, they are published on our site for review.
Can this scale across multiple branches or divisions?
Yes. Multi-location scale is built into the architecture. One organization can have multiple job sites and crews running simultaneously, all rolling up to the same admin dashboard. If you are thinking about a division with ten branches each running their own foremen, all of that data flows into a single view for the safety executive while branch managers see their own slice. Different branches or divisions with different regulatory scopes, say one doing construction and another doing general industry, can be scoped independently within the same platform.
What integrations are available? Can it connect to our ERP, HRIS, or existing systems?
Right now Aegis is a standalone platform. There is no native ERP or HRIS integration yet. Foremen are onboarded directly in the platform; inspection data lives in Aegis. If you need to export data for reporting into another system, the inspection and observation data is accessible. An API layer and formal integrations are on the product roadmap but are not available today. If integration is a hard requirement for your procurement, that is worth flagging early so we can set accurate expectations.
Who else is using it? Can I talk to a reference customer?
Aegis is in early deployment. We will be honest that we are not yet at the point where we can hand you a list of enterprise references. What we can offer is a live walkthrough of the platform using real (anonymized) demo data, so you can see exactly how the inspection flow works, what the dashboard looks like, and what an AI analysis session actually produces. For a company at your scale, being an early adopter also means direct input on the roadmap and priority access as the product matures. That is a tradeoff worth naming clearly.
Let's talk about your operation.
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