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Overview

Sales-led growth often introduces custom quotes, flexible payment terms, bespoke subscription models, and complex entitlements — all of which significantly increase operational complexity, making solutions like Stigg essential for managing entitlements at scale. Translating signed sales quotes, contracts, or order forms into accurate subscriptions and invoices can be a time-consuming and error-prone task, depending on the business process. Stigg streamlines this process using an AI agent that extracts data from quotes, contracts or order forms, maps them to existing plans and entitlements, and automates both provisioning and invoicing — even for the most complex pricing models. When generating invoices, the agents also incorporate feature usage reported to Stigg and handle invoice scheduling automatically.
This feature is currently in beta for select customers. To request access, contact Stigg Support.

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Benefits

Stigg’s AI provisioning agent brings automation and flexibility to your post-sale processes, helping you move faster and more accurately across the customer lifecycle:
  • Decouples sales and monetization teams from the rigid constructs of downstream applications, allowing maximum flexibility to adapt pricing, packaging, and billing without engineering heavy changes.
  • Eliminates manual entry when provisioning subscriptions and creating invoices, minimizing errors and speeding up operations.
  • Speeds up customer onboarding, making it easier to activate new accounts and realize revenue faster.
  • Ensures consistency across your CRM, Stigg, and connected billing providers like Stripe, improving data accuracy and reducing reconciliation work.

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Example use-cases

Stigg’s AI-based flexibility and automation make it ideal for handling complex and custom post-sale scenarios, such as:
  • Custom billing periods: product sold in annual contracts, but some customers require quarterly or semi-annual billing.
  • Custom entitlements: product sold in packages, but to close a deal, some entitlements are added or removed.
  • Custom billing: some customers are billed for usage of Feature X, while others are billed based on usage of Feature Y.
  • Custom pricing models: some customers are billed a flat fee for their usage, while others are billed using tiered pricing or incur overage charges.