Generative AI consulting cost typically runs from about $5,000 for a strategy and audit to $90,000 for a full agent system. Here are the real ranges, what drives price, and how to get a fixed estimate for your use case.
Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.
Cost ranges
Indicative ranges from real GenAI projects. The exact number is a fixed price you approve after the free audit: this is what to budget.
| Engagement | Typical range | What it is |
|---|---|---|
| GenAI strategy & audit | $5,000 to $15,000 | A scoped assessment of where generative AI pays off, a prioritised roadmap and a build plan. |
| A RAG assistant / copilot | $15,000 to $45,000 | Retrieval over your own documents and systems with cited sources, evaluation and guardrails. |
| An agent system | $30,000 to $90,000 | Multi-step agents that carry out real work, with orchestration, evaluation and monitoring. |
| Ongoing GenAI partner | Priced per engagement | A fractional team iterating on prompts, models, evaluation and cost as usage grows. |
Next step
Ready for the details? See our generative AI consulting service, or how we arrive at a fixed number on the pricing page.
FAQ
Generative AI consulting cost depends on scope. As indicative ranges: a GenAI strategy and audit is typically $5,000 to $15,000; a production RAG assistant or copilot $15,000 to $45,000; and a full agent system $30,000 to $90,000. The drivers are how much of your data needs preparing, how many systems the assistant integrates with, and how much evaluation and guardrail work the use case demands. Your exact figure is a fixed price you approve after a free 48-hour audit.
Strategy and use-case prioritisation, then the build: retrieval pipelines, prompt and model engineering, evaluation, guardrails and monitoring, deployment into your environment, and a handover. We build on Claude and other leading models and we can deploy in your cloud, private cloud or on-premises.
For a defined build, a fixed price after the audit is best. You approve the number before work starts. For continuous iteration as usage grows, a fractional partner engagement (billed per sprint or month) fits better. We are happy either way and will recommend the one that fits your stage.
Most focused GenAI features reach production in 3 to 8 weeks, delivered by senior engineers in weekly sprints with working software at each step. Evaluation and guardrails are part of the build, not an afterthought, because a GenAI feature that is wrong in front of users is worse than none.
Senior engineers headquartered in Ahmedabad deliver at typically 40 to 60% below comparable US or UK rates, with working-hours overlap and senior-only teams. You are not paying for a junior bench or a local office.
Keep reading
Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.