One control plane for every AI call your enterprise makes.
Prompts, routing, workflows, and cost: governed, versioned, and audit-ready. Follow the SOP below to go from zero to production in a week.
Every prompt · every model · every dollar: visible and governed.
The Orchestration Hub is the single pane where AI leaders publish prompts, define routing, cap spend, and prove compliance. Ships with a working SOP your team can follow on day one.
What's inside the Hub
Prompt Library & Versioning
Curate, review, and version-control every enterprise prompt. Diff, rollback, and audit trails included.
Model Routing
Route each request to the right model by task, cost ceiling, latency budget, and data residency.
Workflows
Chain prompts, tools, retrievers, and human-in-the-loop gates into governed multi-step workflows.
Cost Dashboard
Daily spend, per-model breakdown, per-team quotas, and anomaly alerts before invoices bite.
Governance & Audit
Every call logged with prompt, model, cost, user, and policy verdict: NIST AI RMF-aligned.
Zero → production in six steps
Follow this SOP in order. Each step maps to a screen in the console and can be completed by a single owner in under a day.
- 01
Register your models
Connect Lovable AI Gateway or bring your own keys (OpenAI, Anthropic, Google, open-source via vLLM). Tag each model with tier, cost, and residency.
- 02
Publish your first prompt
Open the Prompt Library, click New Prompt, define variables, and submit for review. Version 1.0 goes live after approval.
- 03
Define a routing policy
Create rules like: 'summaries → Flash tier', 'legal → Pro tier + EU residency', 'fallback → Mini'. Test in sandbox before publishing.
- 04
Wire into a workflow
Compose prompts + retrievers + tools into a Workflow. Add human-in-the-loop gates on high-risk steps. Run against a golden set before production.
- 05
Set budgets & alerts
In the Cost Dashboard, assign monthly budgets per team and per workflow. Enable Slack/email alerts at 60/80/100%.
- 06
Monitor, audit, iterate
Review the audit log weekly. Retire prompts by usage. Promote winners to canonical status. Every change is versioned and reversible.
Enterprise-ready by default
- Sandbox → Live promotion with approval gate
- Per-team quotas and hard/soft budget caps
- PII redaction pre-flight on every request
- Prompt A/B tests with statistical significance
- Model fallback chain on 5xx / rate-limit
- Full request replay for incident forensics