AI agents for CPQ administration
Configure your catalog with AI agents over MCP.
Most CPQ tools assume you have a team of certified admins. quortix.ai takes a different path: it exposes the full configuration engine over the Model Context Protocol, so an AI agent can model your catalog, propose a new pricing tier, add a constraint, or build a bundle from a plain-language description. Every change lands in the visual workspace, where you review the diff and approve it. The AI works through your agent of choice over MCP — there is no in-app chatbot — and you stay in control in the workspace.
The CPQ admin bottleneck
Most CPQ platforms create a single point of failure: a certified administrator who owns the scripting layer, interprets business requirements, and translates them into pricing rules that nobody else can safely edit. When that person leaves, changes slow to a crawl. When business logic grows, consultant costs grow with it. The assumption that CPQ requires dedicated specialists is baked into the legacy model — and it's the main reason implementations take months and ongoing changes take weeks.
How AI agents work over MCP
quortix.ai exposes the full configuration engine as a set of MCP-native tools. You connect an AI agent of your choice — Claude, GPT-4o, or any MCP-compatible model — point it at quortix.ai, and describe what you want in plain language: a new product family, a constraint between options, a pricing tier for enterprise accounts. The agent drafts the change and surfaces it in the visual workspace as a reviewable diff. You approve it, reject it, or adjust it. The agent has no write access without your approval.
- Describe intent in plain language — the agent models the catalog change.
- Every proposed change appears as a visual diff you review before it applies.
- Full audit trail records what changed, when, and which agent proposed it.
- No in-app chatbot — your AI agent connects externally over MCP.
Who benefits most from AI-assisted administration
Teams that see the biggest return are those currently running lean — a single RevOps manager who also owns the CPQ, a sales-ops team without certified admin headcount, or a company that has outgrown spreadsheets but can't justify a six-month CPQ implementation. AI-assisted administration also accelerates catalog work at enterprise scale, where the volume of SKUs, rules, and promotions makes manual administration the primary bottleneck to going live.
What you get
- Drive setup with your own AI agent over MCP — describe intent, the agent builds it.
- Review and approve every change visually before it ships — you stay in control.
- Full audit trail of what changed and why, right in the workspace.