"How much does AI consulting cost?" is the most common question we get on first calls. The honest answer depends on what you're trying to accomplish — but the ranges below will tell you whether you're in the same neighborhood as the rest of the market.

Strategy engagements

A focused AI strategy sprint — workflow audit, readiness assessment, and prioritized roadmap — typically runs $5,000 to $15,000 for a small business. Larger or more complex organizations push toward $15,000 to $25,000.

Implementation projects

This is where most small business engagements land. A single AI workflow build (lead capture automation, document processing, customer support agent) usually runs $15,000 to $50,000 depending on integration complexity and how much custom logic is involved.

Custom AI builds

Truly custom AI applications — bespoke chatbots trained on your data, internal AI tools with custom UIs, fine-tuned models — generally start at $50,000 and can run $250,000+ for production-grade work with security review and compliance.

Training and change management

Role-based AI training programs typically cost $5,000 to $25,000 depending on the number of teams and the depth of practice sessions. Most engagements include a 60- to 90-day adoption period with office hours.

Ongoing optimization

Monthly retainers for monitoring, prompt refinement, model upgrades, and ROI reporting usually run $1,500 to $7,500 per month. Some clients keep us on indefinitely, others move to quarterly check-ins after 6 months.

What to be skeptical of

Hourly billing on AI projects with no cap. Demand a fixed price.
Multi-year retainers required up front. A good partner earns the next quarter.
Six-figure quotes for what is actually off-the-shelf tooling plus a Zapier setup.
Vendor-pushed solutions (one consultant, one platform). Tool-agnostic advice is more honest.

Why the ranges are so wide

Three variables move the price more than anything else. The first is the number and complexity of integrations. Connecting an AI workflow to a single CRM is a different engagement than wiring it through a CRM, an accounting system, a phone system, and a custom database — even if the AI portion looks identical from the outside. The second is data quality. Clean, well-labeled, well-documented data shrinks scope; messy or siloed data expands it. The third is change management. A 5-person team that meets every Monday will adopt a new workflow in a fraction of the time a 50-person team with five departments and four time zones will.

When you see a large quote, ask the firm to break those three drivers out explicitly. If they can't, they probably haven't thought hard enough about your specific situation.

What's typically included in a Denver small-business engagement

At Northstar Agentics — and at most reputable Denver firms — a fixed-price engagement usually bundles the following, and you should expect to see all of them itemized in the SOW:

A discovery and workflow audit, including stakeholder interviews and a written readiness assessment.
A prioritized roadmap with the top 1–3 candidate workflows, expected hours saved, and risk notes.
Build of the agreed workflows, including all prompt engineering, integrations, and testing.
A short pilot phase with at least one team using the workflow on real work, not test data.
Role-based training sessions, written runbooks, and a 60–90 day adoption window.
A handoff document that describes how the workflow runs, who owns it, and how to change it.

If a quote is missing any of those line items, that's not necessarily a red flag — but it should prompt a conversation. Most cost surprises come from work the buyer assumed was included and the seller assumed was extra.

How to think about ROI

The math we use with Denver clients is intentionally conservative. Take the hours-per-week a workflow actually saves, multiply by the loaded cost of the people doing the work today (salary plus benefits plus overhead), and subtract any new tooling cost. A workflow that saves a single mid-level employee 5 hours a week typically pays back its build cost in 3–6 months. A workflow that saves a partner 5 hours a week pays back faster. We push every engagement to have at least one workflow in the <6 month payback range so the rest of the program is self-funding.

Where small businesses overspend

The most common over-spend we see is paying for "AI strategy" without any implementation attached. A pure strategy deliverable that doesn't include a build is usually worth a fraction of what it costs. The second most common is paying enterprise prices for what's effectively an off-the-shelf assistant plus a Zapier zap. Both are avoidable with a single sentence in the SOW: "Final deliverable includes a working production workflow used by at least one team for two weeks."

How Denver pricing compares to other markets

Denver pricing is generally 15–25% below comparable engagements in San Francisco or New York and roughly on par with Austin and Seattle. Smaller Front Range markets (Boulder, Fort Collins, Colorado Springs) tend to track Denver closely. The bigger swing is between local boutiques and national consultancies — for the same scope, a national firm will often quote 2–3x what a focused Denver shop will, in part because of overhead and in part because of the meeting tax that comes with larger teams.

See our full pricing page for what's included in each package, our methodology for how we approach every engagement, or book a free discovery call for a fixed-price proposal scoped to your business.

AI Consulting Cost: What Denver Small Businesses Should Expect