For structured documents (standard invoice formats, forms), accuracy typically ranges from 90–98% with Vision AI + LLMs. For highly varied or handwritten documents, expect 75–90% with a human review queue for exceptions. We always prototype on your actual documents and report real accuracy numbers — not vendor benchmarks — before you commit to the full build.

We use enterprise API tiers for all clients, which means your data is not used for model training by OpenAI or Google. For highly sensitive data (healthcare, legal, finance), we can deploy open-source models (Llama, Mistral) on your own infrastructure or private cloud, so your data never leaves your environment. Data handling terms are always agreed in writing before development begins.

A single automation workflow or chatbot typically takes 4–6 weeks from kickoff to production deployment. More complex integrations (adding AI to an existing product, multiple workflows) take 8–12 weeks. Full AI products with custom model training take 12–16+ weeks. We always provide a detailed timeline and milestone plan in the project proposal.

There are two ongoing cost components: API usage fees (paid to OpenAI or Google — typically $50–$500/month depending on volume, or near-zero for self-hosted open-source models) and optional maintenance retainer with us for monitoring, updates, and model improvements. We provide a cost estimate for both before the project starts so there are no surprises. Many clients run smoothly on our built-in monitoring without any ongoing retainer.