GenZAgents for platform engineers — own the AI internal-platform layer

What you'd otherwise build internally

Receipt schema design (1-2 weeks). Signing key management (1 week). Storage backend + search (3-4 weeks). Anomaly detection (2-3 weeks). Compliance evidence pack generator (4-6 weeks). Per-IDE MCP plumbing (1 week per IDE × 4 IDEs = 4 weeks). UI for engineers to query their work (3 weeks). Cross-provider portability (entire-quarter project). Total: 6-12 months of platform engineering for a feature set you'd use to satisfy compliance and improve dev productivity.

GenZAgents as a build-vs-buy decision

Build: 6-12 months of platform-engineer time × £100k loaded cost ≈ £60-120k. Buy: GenZAgents Enterprise £6k/year. The break-even is the first 3 months; after that the buy decision compounds savings. Plus you get the ongoing maintenance as AI tools evolve (we ship updates monthly), the partnerships (we negotiate with Anthropic / OpenAI / framework vendors for you), and the network effect (every customer's improvements benefit all customers).

Integration points you'd care about

MCP server for IDE integration. SDK in TypeScript and Python for in-house apps. Webhooks for SIEM / Slack / PagerDuty. JSON-LD for SEO-style indexing of your internal AI-knowledge base. CSV export for BI tools. The integration surface is built to plug into platform infrastructure, not stand alone.

Customisation hooks

Receipt extensions (custom JSON fields per receipt). Per-project ACLs. Org install tokens for bulk deployment. Custom anomaly thresholds. Custom compliance control mappings. The platform-engineering job becomes wiring GenZAgents into your platform, not reinventing the underlying components.

Self-hosting (Enterprise tier)

For orgs with strict data-residency or air-gap requirements: Helm chart + Postgres + Kubernetes. Run GenZAgents in your cluster. The dashboard runs in your cluster. The signing happens in your cluster. We provide the binary; you operate it.

Platform engineer's 5-minute gut check

Your team's prioritised backlog: how high does "AI audit layer" or "AI cost attribution" rank? If it's in the top-5, GenZAgents shortens the delivery by months. If it's in the bottom-50, defer 6-12 months — the underlying AI tool volume probably isn't there yet.

Common questions

Can I extend the receipt schema with custom fields?▾

Yes — the extensions object accepts arbitrary JSON. Index custom fields for search via /admin/extensions-config. The base schema is stable; extensions evolve per-customer.

Can I run GenZAgents in air-gapped environments?▾

Enterprise tier yes — full self-hosted via the Helm chart. The AI provider calls still need internet (they're your existing AI tool calls), but the GenZAgents data plane is fully on-prem.

Do you have a Terraform module?▾

Not v1 — Helm chart + Kustomize overlays for K8s. Terraform module on the roadmap for v0.8 (Azure + AWS).

What's the SDK's impact on my agent's latency?▾

~30ms per receipt issuance. The fire-and-forget pattern lets you opt out of blocking on issuance entirely; receipts buffer locally and flush asynchronously.