What actually drives the price
Most AI consulting cost comes down to a handful of variables. A one-week strategy review costs far less than a multi-month build with custom integrations. The biggest swing factors are how messy your data is, how many systems the AI has to touch, and whether the deliverable is advice, a working pilot, or production software.
Because these vary so much between businesses, an honest agency scopes the work with you first, then quotes. Be skeptical of anyone who quotes a firm number before understanding your data and your goal.
- Scope: strategy session vs. pilot vs. full production build
- Data readiness: clean and accessible vs. scattered across tools and spreadsheets
- Integration count: how many systems the AI must read from or write to
- Compliance needs: regulated data (health, finance, PII) adds review overhead
- Ongoing support: one-time delivery vs. monitoring and iteration
- Custom model work vs. configuring existing tools
How engagements are usually structured
You'll typically see three pricing units. A fixed-fee assessment or roadmap has a defined scope and deliverable. A time-and-materials or retainer arrangement covers ongoing advisory or build work where the path evolves. A project fee covers a defined build with an agreed outcome.
The right structure depends on how well-defined your problem is. If you know exactly what you want built, a project fee protects you. If you're still figuring out where AI helps, a smaller scoped assessment first is the cheaper, safer starting point.
- Fixed-fee assessment: scoped review with a written roadmap deliverable
- Project fee: defined build with an agreed outcome and timeline
- Retainer / fractional advisory: ongoing guidance billed monthly
- Time-and-materials: exploratory work where scope is still forming
- Start small: a paid assessment de-risks a larger build
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Frequently asked questions
Why won't you just tell me a price up front?
Because a real number depends on your data, systems, and goal, and quoting blind either overcharges you or sets up a project to fail. A short free consultation lets us understand the work, and then you get a scoped quote you can actually trust.
Is a small assessment worth paying for before a full project?
Usually yes. A scoped assessment costs a fraction of a build and tells you whether the use case is viable, what your data needs, and what the real project would cost. It's the cheapest way to avoid spending on the wrong thing.
What's the most cost-effective way to start?
Start with a single, well-defined use case rather than an 'AI transformation.' Prove value on one workflow, then expand. Book a free consultation and we'll help you pick the highest-leverage place to begin.