How Much Does an AI Audit Cost? Our Real Prices (2026)
Most firms that sell AI audits do not publish a price. Here are ours, what the audit actually delivers at each level, what makes the bill go up, and when you should skip the audit entirely.
Oct 29, 2026
At Reflekt Lab, an AI audit costs $2,300 to $4,700 to scope one process, $7,000 to $14,000 for a full audit across your operations, and from $17,500 if the first use case is built and put into production right after. The audit is credited against the pilot when we build it. Most firms selling AI audits, readiness assessments or "AI strategy" engagements do not publish prices at all, and the cost guides that do put the floor around $1,500 for a narrow assessment and the ceiling anywhere you like. Below: our price ladder, what each level delivers, what moves the bill, what the AI costs to run afterwards, and how to spend the least before you know AI helps.
Our prices
These are the prices published on our AI audit page, converted to US dollars from our euro prices.
| Level | What you get | Price |
|---|---|---|
| Express scoping (one process) | A half-day workshop on one specific process, a written summary, a clear answer on feasibility and the size of the pilot | $2,300 to $4,700 |
| Full AI audit | A map of your operations, use cases ranked by return and effort, the model choice for each, a scoped pilot with success criteria | $7,000 to $14,000 |
| Audit plus delivered pilot | The audit, then the first use case built through to production, with your team trained on it | from $17,500 |
| Running the pilot | Hosting, monitoring, re-testing when models change, and a monthly volume of changes | from about $470 per month |
These figures firm up after a first conversation. If an off-the-shelf tool already covers your need, we will tell you before billing you for an audit.
What an AI audit should deliver
The price only means something next to the deliverable. Compare quotes on what you hold at the end:
- A ranked backlog. Every candidate use case scored on hours saved, error cost and effort, not a list of "opportunities".
- A model choice per use case. A large language model is often the wrong answer. Many tasks run on a small model, a classic classifier or plain code, at a fraction of the cost.
- A scoped pilot. One use case, its success criteria, its data sources, the human review step, and a firm price.
- The things AI must not do. The decisions that stay with a person, and the systems the AI is not allowed to write to.
An audit that ends with a slide deck and no pilot leaves you to do the hard half yourself.
What moves the price
Four things, roughly in this order:
- Scope. One process is a half-day workshop. A whole company, with finance, sales and operations, means several sessions and as many people to interview.
- The state of the data. Clean records in a CRM or ERP are quick to assess. Scanned PDFs, email threads and three spellings of every customer name need an inventory before anyone promises anything.
- The number of systems involved. Each tool the AI would read from or write to (ERP, CRM, accounting, spreadsheets) adds a question of access, permissions and data quality.
- Confidentiality. Some data must not leave your infrastructure. The audit then prices a model hosted on your own servers, and tells you plainly when a managed service is fine.
What the AI costs to run afterwards
Usually less than people fear, when the model is chosen task by task. We read an insurer's entire claims book, about 13,000 documents, for under $25 in model calls (the full story). In our benchmark of 9 models across 1,260 tests, picking the right model per task cut cost by 10 to 100 times with no loss of reliability. The expensive part of AI in production is building, testing and maintaining it, not the tokens. If you are past the audit and pricing the build itself, see how much it costs to build an AI agent.
How to spend the least
- Start with one process, the one that eats the most hours and has the fewest exceptions. Not the most impressive one.
- Pay for a scoping before a full audit if you already know which process hurts. $2,300 to $4,700 tells you whether it is feasible and what the pilot costs.
- Ask for a pilot, not a report. The question at six weeks is how many hours the AI saves on the real work, not how good the demo looked.
- Check the tools you already pay for. Your CRM, helpdesk or accounting software may already ship the feature you are about to commission.
Related: custom software for small business: cost and when it's worth it, and fractional CTO vs development agency.