Enterprises with multi-tool AI deployments
You have engineers on Claude + ChatGPT + Cursor + Cline. AI spend is growing. Compliance pressure is mounting. Vendor lock-in is becoming a real cost. You need a vendor-neutral layer to govern, audit, attribute, and port AI work. That's GenZAgents.
AI agent builders
You build AI agents for paying customers. Customers want proof of work; you ship signed receipts. Customers want trust signals; your agent has a public trust score that compounds with every transaction. The buyer side of the agent economy needs this trust layer.
Compliance officers
You're preparing for SOC 2 / ISO 42001 / EU AI Act / EU CRA audits where AI activity is now in scope. Without an audit trail, you're exposed. GenZAgents is the audit layer that satisfies the AI evidence half of each framework.
Who it's not for (today)
Individuals doing personal AI exploration (free tier suffices). Orgs with <20 engineers and <£30k AI spend (defer 12 months). Orgs not in regulated industries and with no compliance pressure (defer 12 months). The product becomes rational somewhere in the 20-100 engineer + £30k+ AI spend + regulatory exposure trifecta.
Investor signal
For investors: the buyer-side trust layer is structurally a metalayer. The market converges as agent commerce scales and AI compliance pressure intensifies. The TAM is the per-org AI spend × the percent that needs audit, which is essentially all of it by 2027.
Start with the use case
Your role drives the use case. CTOs → /for/cto. CISOs → /for/ciso. CFOs → /for/cfo. Compliance → /for/compliance-officer. Each role's page maps the value to your specific responsibilities.