Usage-based revenue for agencies matters when an AI project keeps creating client value after the launch invoice is paid. A support assistant keeps answering questions. A document workflow keeps summarizing files. A CRM automation keeps scoring leads. The client benefits every time the system runs, but the agency often earns most of its revenue before that usage begins.<\/p>\n\n\n\n
That gap is where ShareAI Builder can help. The agency still builds the client application, workflow, chatbot, portal, plugin, or automation outside ShareAI. ShareAI becomes the marketplace API, routing, usage, billing, surcharge, and monthly payout layer for the AI inference traffic the agency chooses to route through ShareAI.<\/p>\n\n\n\n
The goal is not to charge clients more for the same project. The goal is to align the commercial model with the work the AI feature continues to perform after launch.<\/p>\n\n\n\n
Many development agencies earn from discovery, design, implementation, deployment, support, and maintenance. That model works for normal software delivery, but AI features change the shape of the value.<\/p>\n\n\n\n
A traditional portal may be mostly static after launch. An AI-enabled portal may keep producing summaries, answers, recommendations, reports, classifications, and workflow decisions every day. Each run has a real inference cost, and each run may create measurable value for the client.<\/p>\n\n\n\n
Industry pricing research points in the same direction. Bessemer’s AI pricing playbook<\/a> notes that AI products carry material compute and inference costs, while Metronome’s 2025 usage-based pricing report<\/a> shows usage-based pricing is already common across software companies. For agencies, the practical lesson is simple: when usage keeps growing after launch, the pricing model needs a way to follow it.<\/p>\n\n\n\n With ShareAI, the agency does not move the client app into ShareAI. The agency keeps building and maintaining the product in its own stack. ShareAI handles the AI traffic and payment layer behind the AI feature.<\/p>\n\n\n\n This creates usage-based revenue potential after launch, but it is not automatic. The client workflow still needs adoption. The AI feature still needs to be useful. The agency still needs to package the model in a way the client understands.<\/p>\n\n\n\n The best candidates are agency-built AI features with clear activity units. If the client can understand what gets processed, completed, generated, or resolved, the agency has a cleaner way to explain usage.<\/p>\n\n\n\n If the feature is rarely used, the revenue will be limited. If the feature becomes part of daily client operations, the agency has a model that can grow with actual adoption.<\/p>\n\n\n\n The cleanest agency offer does not start with tokens. Tokens are useful for engineering and cost tracking, but most clients think in business activity. They understand tickets, documents, workflows, leads, visitors, reports, and customer conversations.<\/p>\n\n\n\n A strong package usually has three parts:<\/p>\n\n\n\n This keeps the agency from hiding unpredictable AI consumption inside a fixed project fee. It also gives the client a clearer relationship between adoption and cost.<\/p>\n\n\n\n ShareAI is not a no-code builder, app framework, CMS, hosting platform, or workflow builder. The client product remains the agency’s work. ShareAI is the AI marketplace and API layer that can sit behind the AI feature.<\/p>\n\n\n\n For the agency, that means fewer pieces to build from scratch. ShareAI can support one API for access to 150+ models, marketplace visibility, routing, failover, customer-paid usage, surcharge logic, and monthly Builder payouts.<\/p>\n\n\n\nHow usage-based revenue for agencies works<\/h2>\n\n\n\n
Where this model fits best<\/h2>\n\n\n\n
Agency project<\/th> Useful usage unit<\/th> Client value<\/th><\/tr><\/thead> Support automation<\/td> Answers, summaries, escalations, or tickets handled<\/td> Faster responses and less manual triage<\/td><\/tr> Document workflows<\/td> Documents, pages, comparisons, or reviews processed<\/td> More throughput with less repetitive review work<\/td><\/tr> CRM and ERP automation<\/td> Leads scored, records updated, invoices extracted, or notes summarized<\/td> Cleaner data and faster operations<\/td><\/tr> Commerce and CMS features<\/td> Product descriptions, searches, recommendations, or content rewrites<\/td> Faster merchandising and content operations<\/td><\/tr> Internal AI portals<\/td> Employee prompts, reports, policy searches, or assistant runs<\/td> Usage visibility by team, workflow, or department<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n How to package AI usage for clients<\/h2>\n\n\n\n
How ShareAI fits into an agency-built application<\/h2>\n\n\n\n