greenlaine monitors the AI landscape for you, keeps your policy current, and gives your team a clear path to use AI confidently — without IT, lawyers, or a three-hour workshop.
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Most companies handled AI the same way. Someone — maybe you — sat down one afternoon, wrote something reasonable, put it in a Google Doc, posted it in Slack, and moved on.
That was six months ago. Since then: three major model releases, two new enterprise AI tools your sales team is definitely already using, one regulatory update, and forty new tools your employees have discovered and quietly started using anyway.
Your policy says nothing about any of it. This isn't a failure of discipline — it's a failure of infrastructure. Nobody has time to monitor the AI landscape, interpret what it means, update the policy, and communicate the changes — while also doing their actual job.
That's what greenlaine is for.
The average AI policy is updated once. The AI landscape updates daily.greenlaine closes that gap — automatically.
Three things that no static document or one-time consultant can do.
Every week, greenlaine surfaces the AI tools, model updates, and regulatory changes that matter for your company. Curated, plain-English, with a simple decision attached: Allow · Watch · Deny. Your policy updates automatically based on your choices.
Every AI tool your team uses gets a decision: Allow, Watch, or Deny. Change a decision and your policy updates automatically — only the affected sections regenerate. Add tools, add guidance, export to CSV. Employee approval requests coming soon.
A plain-English AI acceptable-use policy tailored to your industry, jurisdiction, and risk posture — generated in minutes. Refine any clause with AI, track every version, and export to PDF whenever the board asks.
Answer a few questions about your company — industry, headcount, risk posture, jurisdiction. greenlaine generates a complete, plain-English AI acceptable-use policy tailored to your answers. You're live.
Tell us which AI tools your team already uses — ChatGPT, Notion AI, Copilot, and more. Each becomes a row in your Playbook with a starting decision. Change any decision and the relevant policy sections update automatically.
Every week, a curated digest of what's changed in AI and what it means for your policy. Simple Allow / Watch / Deny decisions. Your policy updates automatically. Coming soon.
Your policy is always current and exportable as a PDF. When the question comes up — board meeting, enterprise customer questionnaire, investor due diligence — pull it up and share it. Done.
You didn't ask to become your company's AI governance lead. But here you are.
There are tools that block employees from using AI. There are enterprise platforms that cost $50,000 a year. There are consultants who'll write you a policy that's stale in sixty days. greenlaine is none of those things.
| greenlaine | DLP tools | Enterprise platforms | Consultant / doc | |
|---|---|---|---|---|
| Built for ops / people leads | ✓ | ✕ IT/security | ✕ Enterprise | ✓ |
| Proactive AI landscape monitoring | ✓ | ✕ | Partial | ✕ |
| Employee approval flow | Coming soon | ✕ | Partial | ✕ |
| Living policy (auto-updates) | ✓ | ✕ | ✕ | ✕ |
| Setup time | 20 minutes | Weeks | Months | Days |
| Price | $69/mo | $30–100/user/yr | $30k–200k/yr | $3k one-time |
| Stays current over time | ✓ | Partial | Partial | ✕ |
Flat per-company pricing. No counting employees every month. No procurement process needed.
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ChatGPT will write you a perfectly reasonable AI policy in about three minutes. The problem isn't the first draft — it's everything after. Who updates it when a new model releases? Who decides whether your team can use it? Who communicates the change? Who tracks what tools are actually in use? greenlaine is the system around the policy, not just the document.
Each week, greenlaine surfaces the AI tools, model updates, and regulatory changes most relevant to your company type and size. Each item comes with a plain-English summary of what it is, why it might matter, and a simple decision: Allow / Watch / Deny. Your decision takes effect immediately — the Playbook and policy update automatically. Radar is coming soon.
That's exactly why greenlaine leads with the Radar rather than waiting for employee disclosure. Most new tools get surfaced through our monitoring before employees even ask — which means you can pre-approve or pre-deny common tools before they become a problem. An employee approval flow — a legitimate, fast path to request new tools — is on the roadmap.
Those are data loss prevention tools — they detect and block sensitive data in real time, require technical deployment, and are built for IT and security teams. greenlaine is a people product: it's about policy, clarity, and employee enablement. The two approaches are complementary. If you already have a DLP tool, greenlaine handles the human and cultural layer that DLP tools don't touch.
No. greenlaine is built for ops leads, people leads, chiefs of staff, and founders — not security teams. If you can fill out a form and send a Slack message, you can run greenlaine. The only technical requirement is having a company with employees who use AI tools. Which, by now, is all of them.
greenlaine stores your policy, your approved tool register, and your employee submissions. We don't integrate with your network, scan your devices, or monitor employee behaviour. We're a documentation, intelligence, and communication platform — not a surveillance tool. Full details in our privacy policy.
Somewhere in your next board meeting, investor update, or enterprise customer questionnaire, someone is going to ask about your AI policy. greenlaine makes sure the answer is "yes, we have one, it's current, and here it is."
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