June 18, 2026/MobAppAI Engineering Team/6 min read
Why there is no single price
“AI agent” covers everything from a single assistant that drafts replies to a network of agents coordinating across your stack. The cost follows the complexity of the work, not a fixed menu — so the useful question is which factors move the number.
The factors that drive cost
- Scope & steps: how many steps and decisions the agent handles, and how much judgement each requires.
- Integrations: how many systems it touches and how clean their APIs are — messy or legacy integrations are often the largest line item.
- Data readiness: whether your data is accessible and structured, or needs cleaning and a retrieval layer first.
- Reliability bar: a 95%-good internal helper is far cheaper than a customer-facing process that must be near-perfect with human-in-the-loop review.
- Compliance: HIPAA, SOC2-aligned controls, audit logging, and private deployment add engineering but are non-negotiable in regulated settings.
One-time build vs ongoing run cost
Budget for two things: the one-time build (design, integration, evaluation, handover) and the ongoing run cost (model inference, hosting, and maintenance). A self-hosted smaller model can sharply cut per-call cost at volume — see LLM fine-tuning.
How we scope it
We give a fixed scope and estimate after a short, free discovery session, and we usually start with a pilot on one workflow so you see value before committing to the full build. Tell us about your use case and we'll map it out.