- Features > Agentic CPQ
Agentic CPQ / AI Quoting
AI agents that configure and quote on behalf of buyers — within your brand-controlled rules, pricing guardrails, and approval workflows. Agentic CPQ is the configure-price-quote layer for the agentic commerce era.
Always-on
Agents quote 24/7 within brand-controlled guardrails
100%
Configurations validated against rules — no agent hallucination reaches a quote
Auditable
Every agent action logged for compliance and review
The Challenge
Buyers Are Bringing AI Agents to the Quoting Table — and Most CPQ Cannot Respond
The shift to agentic commerce is no longer a forecast — it is now part of how buyers and procurement teams operate. AI agents discover products, request quotes, compare configurations, and place orders on behalf of human buyers. Enterprise procurement platforms are integrating agent-driven quoting flows directly into their workflows.
Traditional CPQ platforms cannot serve this traffic. The interfaces are designed for humans navigating a configurator UI; the APIs were not built for autonomous agents that need structured, validated responses. Quote requests from agents either fall back to generic catalog data, get routed to human sales engineers, or fail entirely — all of which lose the deal.
The risk on the other side is equally serious. Manufacturers that connect an unconstrained AI directly to their pricing risk catastrophic outcomes — incorrect configurations, off-policy discounts, missed compatibility constraints, and brand-damaging quotes. The challenge is enabling agents while keeping the business under control.
The manufacturers who win in agentic commerce will be the ones whose CPQ exposes configuration and pricing as agent-ready capabilities, within strictly enforced rules and guardrails — not the ones who try to bolt AI onto a CPQ designed for a different era.
How It Works
How Agentic CPQ Works in Mercura
Mercura exposes its configuration, pricing, and quoting engines as agent-ready services — designed for autonomous agents from the protocol up. Agents submit natural-language or structured quote requests through dedicated agent endpoints. Mercura's rules engine validates every agent-proposed configuration against the same constraints, dependencies, and compatibility rules that govern human configurators — no agent can submit an invalid or out-of-policy configuration. Pricing applies the same customer-specific rates, discount approvals, and margin guardrails. Every agent action is logged with full context: which agent, on behalf of which buyer, with which configuration, at which price, against which rules. Brand-controlled policy layers let manufacturers define exactly what agents are permitted to do — and on which products, with which discount limits, and which approval thresholds.
What's Included
Key Capabilities
- Agent-ready quote endpoints — structured and natural language input supported
- Same rules engine governs agent and human configurations — no policy gap
- Brand-controlled guardrails: discount caps, approval thresholds, product allowlists
- Full audit trail of every agent action with buyer attribution
- Hallucination prevention: only valid catalog products and configurations returned
- Customer-specific pricing applied to agent quotes — no off-policy rates
- Approval routing for agent-initiated quotes above threshold
- MCP (Model Context Protocol) and OpenAPI integration paths
The Difference
Before and After Agentic CPQ
- Agent quote requests fail or fall back to static catalog data
- AI bolted on top of a CPQ designed for humans — hallucination risk high
- No policy layer between agents and pricing — discount and configuration risk
- No audit trail — compliance teams cannot trace agent decisions
- Lost deals to manufacturers with agent-ready quoting infrastructure
- Agents configure, price, and quote through dedicated, validated endpoints
- Same rules and pricing govern agent and human flows — one policy surface
- Brand-controlled guardrails enforce what agents may and may not do
- Every agent action logged with full attribution for compliance review
- Agentic quote traffic served reliably — converted, not lost
Real-World Application
Example Use Case: Specialty Chemicals Manufacturer Enabling Procurement-Agent Quoting
A specialty chemicals manufacturer began receiving an increasing share of quote requests from procurement platforms operating AI quoting agents on behalf of their enterprise customers. The manufacturer's existing CPQ could not respond — quotes were routed to human sales engineers, with turnaround times of 24 to 72 hours. The agents, unable to wait, often closed deals with faster-responding competitors. After deploying Mercura's agentic CPQ endpoints with brand-controlled discount and product guardrails, the manufacturer was able to respond to 89% of agent quote requests automatically within seconds — all within their existing pricing policy. The remaining 11% were routed to humans only when they crossed approval thresholds. Win rate on agent-initiated deals improved by 34% in the first quarter.
Quote turnaround dropped from 3 days to under 4 hours.
Business Impact
Why Agentic CPQ Matters
Agentic commerce is reshaping how B2B products are discovered, configured, and purchased. The manufacturers who treat agents as a first-class buyer channel — with the same rigor as their human-facing configurators — will compound advantages in win rate, response time, and brand consistency. The manufacturers who do not adapt will see agent-driven deals routed to competitors who did. Agentic CPQ is the architectural commitment that makes the difference: configuration, pricing, and quoting exposed as governed, agent-ready services rather than human-only interfaces with an AI veneer.
Build a CPQ Ready for the Agentic Commerce Era
Book a demo to see how Mercura's agentic CPQ exposes configuration and pricing as agent-ready services — fully governed by your rules.
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We empower manufacturers to master product modeling, streamline quoting process, reduce errors, and ultimately deliver the tailored solutions that customers demand.