The AI tools your team *actually* uses

For every approved AI tool, your team is using two more in the shadows. Here's how to see them.

The AI tools your team *actually* uses
SightLine brings disparate and risky 'shadow AI' tools into a single, managed, and unified operational structure.

⚡ The Signal

The enterprise is in an arms race. Every board meeting, every strategy session is dominated by one question: "What's our AI play?" This pressure has created a gold rush mentality, where the primary goal is implementation, often driven by a powerful fear of missing out on the AI boom. Companies are throwing money at AI, but they're not watching where it lands.

🚧 The Problem

This rushed adoption has created a massive blind spot: Shadow AI. For every approved, vetted AI tool your security team has signed off on, your employees are using two others you don't know about. They're expensing them, using them on personal accounts, and piping sensitive company data into them. The result is a governance nightmare. Leaders have lost visibility into their own tech stack, creating a sprawling, unmanaged, and insecure AI supply chain. You can't measure ROI, you can't manage costs, and you can't secure what you can't see.

🚀 The Solution

Enter SightLine. It's not another AI tool; it's the control tower for your entire AI ecosystem. SightLine provides a unified dashboard to discover, inventory, and manage every single AI application being used in your organization—from sanctioned platforms to Shadow AI. It turns the risk of unmanaged tools into a clear, governable business advantage, showing you what's actually being used, what it costs, and whether it's paying for itself.

💰 The Business Case

Revenue Model

SightLine monetizes through a three-pronged B2B SaaS model. The core offering is a tiered subscription based on the number of employees monitored. For enterprises with specific needs, premium Compliance Add-ons provide automated reporting for standards like SOC 2 and GDPR. Finally, an anonymized Data Insights API offers aggregated data on AI adoption trends and cost benchmarks to the wider market.

Go-To-Market

The strategy is built on a bottom-up adoption loop. A free browser extension, 'AI Footprint', lets individual employees visualize their own AI usage, with a built-in CTA to advocate for the full company-wide platform. To build trust with technical teams, the core discovery agent will be open-sourced. This is paired with a programmatic SEO strategy, creating a definitive "State of the AI Stack" report to attract organic traffic from executives researching specific AI solutions.

⚔️ The Moat

SightLine operates in a space with established security players like Zscaler and Palo Alto Networks. However, its focus is razor-sharp on the AI stack, and its unfair advantage is data accumulation. As SightLine inventories AI tools across its customer base, it builds a proprietary dataset of usage patterns, cost benchmarks, and security risks. This flywheel provides increasingly valuable insights and automated policy recommendations that new competitors cannot replicate.

⏳ Why Now

The market is waking up to a $2 trillion AI reality check, realizing that unstructured investment without oversight is a recipe for failure. The need for clear visibility into the AI supply chain is no longer a niche security concern—it's a critical business imperative. This problem is universal, affecting every sector. We're even seeing reports that lawmakers are just beginning to grapple with how their own staff use AI, proving that no organization is immune to the chaos of Shadow AI.

🛠️ Builder's Corner

This is a B2B SaaS product, but the fastest path to MVP focuses on the data collection component. We'd recommend a Next.js application hosted on Vercel for the dashboard. The real magic is in the discovery agent: a browser extension built with the Plasmo Framework is perfect for this, as it simplifies development and deployment. To accelerate, lean on best-in-class APIs: use Clerk to handle complex enterprise SSO integrations out of the box, Supabase for a robust and scalable PostgreSQL database, and Stripe for billing. This stack lets a small team build a secure, enterprise-ready product fast.


Legal Disclaimer: GammaVibe is provided for inspiration only. The ideas and names suggested have not been vetted for viability, legality, or intellectual property infringement (including patents and trademarks). This is not financial or legal advice. Always perform your own due diligence and clearance searches before executing on any concept.