Turnstile adds AI agent controls to quote-to-cash platform

Turnstile has expanded its Flexible Quote-to-Cash platform with native support for teams that combine employees and AI agents, the company announced. The update centers on a read-and-write Model Context Protocol, or MCP, which Turnstile says allows AI agents to take actions across the quote-to-cash process rather than only retrieve data.

The company is positioning the release for businesses whose pricing, contract terms and billing models change frequently. Turnstile said its platform is designed to consolidate pricing, customer agreements, usage, billing and commercial information into a single quote-to-cash system of record used by finance, sales, revenue operations, product teams, executives and AI agents.

Quote-to-cash software covers the chain of activity from configuring a commercial offer through contract management, invoicing, collections and reporting. In Turnstile’s model, the MCP serves as the interface that gives AI systems access to the same commercial context used by human teams, with permission to write changes back into connected workflows where authorized.

Jordan Zamir, Turnstile’s chief executive, said quote-to-cash platforms built over the past two decades were designed for fixed pricing models and human-led processes. He said the company built its system around a unified record to reduce fragmentation across revenue systems, and that the MCP is intended to let AI agents “reason, automate, and take action” using trusted commercial data.

The release comes as software and digital services businesses adopt subscriptions, usage-based pricing, AI consumption models, hybrid structures and customer-specific agreements. Turnstile said those models create operational pressure because a pricing revision, contract amendment, renewal or billing change can produce multiple downstream updates across separate revenue systems.

Turnstile said companies often use spreadsheets and manual reconciliation to bridge those gaps between applications. AI agents, by contrast, need a complete view of contracts, pricing, invoices, product usage and customer context if they are to support commercial decisions or automate administrative steps, according to the company.

Four applications on one record

The platform includes four integrated applications built on the same quote-to-cash data foundation, Turnstile said.

• Quoting, covering product configuration, pricing, approvals, negotiations and customer agreements.
• Account Management, covering recurring, usage-based, AI consumption and hybrid pricing models.
• Billing, covering invoicing, collections, renewals, amendments and usage-based billing.
• Reporting, covering revenue recognition, forecasting, pricing analysis, commissions, commercial insights and AI-powered workflows.

Turnstile said native integrations bring CRM, ERP, product usage and customer success data into its quote-to-cash system of record. Its MCP then provides the interface and context for AI agents and large language models, according to the company.

Sumeet Vaidya, co-founder and chief executive of Crafting, said in Turnstile’s announcement that an error on a six-figure contract could cost tens of thousands of dollars now and more as the company grows. He said he previously spent three to five hours each month reconciling contracts, financial data and product information across disconnected systems.

Vaidya said Turnstile now gives him a single quote-to-cash record and uses the MCP to provide a daily briefing with contract, billing and product context. He said that helps him manage cash runway, negotiate enterprise agreements and make pricing decisions.

Turnstile said many businesses initially seek better configure-price-quote, billing or reporting tools because those are where operational problems appear. The company argues that the underlying issue is fragmented quote-to-cash data, and that shared records for human and AI workflows can reduce duplicate integrations and manual workarounds as business models change.

This story draws on original reporting from Finextra Research.