Docmosis
A customer needs an invoice. A partner requests a contract. Your AI agent triggers Docmosis to merge data into templates and produce professional documents on the spot. No manual data entry, no waiting for someone to open Word. Documents generated in seconds during live conversations.
Your AI agent leverages Docmosis' template engine and cloud rendering to produce, inspect, and manage professional documents without human intervention.
Docmosis
See how businesses use AI agents to generate invoices, contracts, and reports from Docmosis templates without anyone opening a document editor.
A customer messages asking for an invoice for their latest order. Your AI Agent collects the order details, checks the Docmosis template structure for the required fields, and triggers a document render with the customer's data merged into your branded invoice template. The customer receives a professional PDF in under a minute. Your finance team never had to open a spreadsheet or accounting tool.
Your operations team prepares to generate 500 certificates for a training program. Before running the batch, they ask the AI Agent to inspect the certificate template. The agent returns every field, repeating section, and conditional block from Docmosis, confirming the data schema matches. Template mismatches are caught before a single page renders, saving hours of debugging failed batch jobs.
End of quarter means thousands of reports need generation. Before kicking off the batch, your team asks the AI Agent about current render queue utilization and monthly quota. The agent checks Docmosis' queue status and account summary, confirming there is enough capacity. Your team launches the batch confidently. No mid-run failures from hitting quota limits or overloaded queues.
Docmosis
FAQs
The agent calls Docmosis' template structure endpoint, which parses the template and returns every field name, repeating group, conditional section, and image placeholder. This means the agent understands exactly what data the template expects before attempting a render. If a field is missing, the agent can ask the user for it during the conversation.
Docmosis supports output in PDF, DOCX, ODT, and TXT formats. Templates are created in Microsoft Word or LibreOffice Writer using plain-text placeholders. The AI agent can request any supported output format when triggering a render, so a customer asking for a PDF invoice and a partner requesting a Word contract both get what they need.
No. Template structure queries, environment status checks, image management, and connectivity pings do not count against your page quota. Only actual document renders consume quota pages. You can inspect templates and monitor capacity as often as needed without affecting your monthly allocation.
Yes. Docmosis templates support repeating sections for things like invoice line items, table rows, or numbered lists. The agent's template structure query identifies these repeating groups, and when triggering a render, it passes the array data that fills each row. A 50-line invoice renders just as easily as a 3-line one.
Tars does not store generated documents. The render request goes to Docmosis Cloud, which produces the document and returns it. The document content passes through the conversation but is not archived by Tars. Your data stays between your systems and Docmosis. You control document storage on your own infrastructure.
Manual document creation requires opening Word, finding the template, copying data from another system, formatting, and saving. With Tars and Docmosis, the AI agent collects data during a conversation and produces a finished document automatically. A process that takes 15 minutes manually happens in seconds, with zero copy-paste errors.
The agent checks queue utilization before submitting render jobs. If the queue is near capacity, it informs the user and can either queue the request for later or suggest waiting. Docmosis Cloud scales under load, so queue saturation is rare, but the agent handles it gracefully rather than submitting jobs that might time out.
Yes. The agent can list all stock images stored in your Docmosis account, retrieve specific images by name, and delete outdated ones. If a template requires a company logo or signature image, the agent can verify it exists before triggering a render, preventing broken image placeholders in generated documents.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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