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A plain-English cost guide

How much does AI automation cost?

A practical cost guide for owner-led ecommerce brands: DIY tools, fixed builds, agencies, full-time hires, and Miller & Miller's public offer ladder. Every Miller & Miller price is a “from” price.

What you're really paying for
  • Software & platform fees
  • The build — design and test
  • Running it in production
  • Maintenance when APIs change
  • Your team's time
  • The cost of NOT automating
Three costs, not one
The short answer

What does AI automation cost in 2026?

Ecommerce AI automation can cost a few hundred dollars a month when an owner wires together simple tools, five figures for a production build across Shopify and the rest of the stack, or roughly $265K–$350K a year for a full-time senior AI hire once salary, benefits, recruiting, and ramp are included. The useful question is not the software fee; it is what level of ownership, integration, and ongoing proof the store needs. Miller & Miller pricing is public and always presented as “from” pricing. Every engagement starts with the Ecommerce AI Opportunity Audit from $5K. An Automation Sprint starts at $5K, The Build at $15K, fractional AI leadership at $8K/month, and Embedded / Enterprise at $20K/month. Clients work directly with the experienced brothers who run the firm, and the audit and build plan are yours to keep either way.

Side by side

What each path costs

Five ways to bring AI into an ecommerce store — setup, monthly cost, time to a first result, and who owns it.

Miller & Miller (Fractional AI Officer)DIY ToolsFixed-Price BuildAgency RetainerIn-House Hire
Upfront / setupAudit from $5K — yours to keep$0 + your time$1.5K–$10K one-timeFolded into retainer$3K–$8K recruiting
Monthly costFrom $8K/mo — or one-time builds from $5K$20–$300 tools + $5–$30 API$9–$99 tool fees only$2K–$10K~$22K–$29K loaded cost
Time to first result3-week audit; builds ship in weeksWeeks (you learn as you build)2–8 weeks2–4 weeks3–6 months to ramp
Who builds & runs itThe same two senior peopleYouBuilder hands off; you run itAgency team (often junior)Your hire, after ramp
Strategy includedYesNoRarelySometimesEventually
Ongoing maintenanceIncluded in retainerYou handle itAdd-on (~10–20%/yr)IncludedYour hire
You own the systemYouYouYouOften noYou
Best for$1M–$50M owner-led ecommerce1–2 simple workflowsOne well-scoped workflow10–25 workflows, complex50+ automations / AI core
Our pricing

What working with Miller & Miller costs

No mystery quotes — the ladder is public, and every price is a “from” price. Every engagement starts with the audit; after that you choose how far to take it: just get it built, or have it owned.

Ecommerce AI Opportunity Audit — from $5K

Where every engagement starts. Three weeks to a roadmap, the numbers behind each opportunity, and a build plan. Yours to keep, whether or not we work together after.

Automation Sprint — from $5K, one-time

Just want it built: a handful of high-impact automations, built and handed off. No retainer.

The Build — from $15K, project

Your unified Shopify, ads, and email revenue dashboard plus key automations, shipped in one month.

Fractional AI Officer — from $8K/month

One accountable senior team handles the ecommerce AI roadmap, hands-on builds, and monthly results.

Embedded / Enterprise — from $20K/month

Whole-brand rollout, priority builds across the ecommerce stack, and a governance and risk framework.

Cost factors

What makes AI automation cost more — or less

Two stores can receive very different quotes for “the same” automation. Here is what actually moves the number.

How many systems connect

A workflow inside Shopify alone is simpler than one connecting Shopify, support, email, ads, fulfillment, and analytics. Every system adds data mapping, permissions, testing, and monitoring.

Custom build vs. template

A standard order-status flow is simpler than custom merchandising or CRO logic tied to the store's theme, catalog, policies, and customer data.

Edge cases & exceptions

Standard orders are easy. Split shipments, exchanges, bundles, subscriptions, international policies, and unusual fulfillment states add design and testing.

Quality of your data

AI runs on clean product, order, customer, and policy data. Missing attributes and inconsistent definitions require cleanup before automation works reliably.

Ongoing maintenance

Models update, Shopify apps change, APIs move, and prompts drift. A set-and-forget build with no maintenance plan moves that cost onto your team later.

Clear, documented scope

The biggest lever you control. If the store metric, workflow, data, and approval rules are clear, scoping is fast. "Put AI everywhere" is a discovery project.

By workflow

Typical cost by what you're automating

A rough planning guide by workflow type — one-time setup plus monthly running cost.

Store-aware support assistant

Resolves routine order-status, returns, and sizing questions with live store context and escalation rules.

Lifecycle recovery flow

Improves abandoned-cart, post-purchase, replenishment, or win-back flows across email and SMS.

CRO experimentation system

Finds storefront friction, creates controlled variants, supports deployment, and measures conversion impact.

Unified revenue dashboard

Combines Shopify, ads, email, and support data into one operating view with automated reporting.

Multi-system workflow

Three or more ecommerce systems with custom logic, approval rules, monitoring, and a measurable store outcome — where senior help pays off most.

3

Weeks from audit kickoff to roadmap

$5K

Starting price for the audit or sprint

$15K

Starting price for The Build

$8K

Starting monthly fractional engagement

Questions

AI automation cost FAQ

How much does AI automation cost for an ecommerce brand?

It ranges from low-cost DIY tools to five-figure production builds and roughly $265K–$350K a year for a full-time senior hire. Miller & Miller starts with an Ecommerce AI Opportunity Audit from $5K, offers one-time builds from $5K or $15K, and fractional AI leadership from $8K/month.

What's the cheapest way to start with AI automation?

DIY no-code tools are the cheapest route for a simple, low-stakes workflow. The real cost is the owner's time to design, connect, test, monitor, and repair it. Once the system touches customer data, orders, support, or revenue, implementation ownership matters more than the subscription fee.

How much does it cost to hire someone to build AI automation?

Miller & Miller's Automation Sprint starts at $5K for a handful of high-impact store automations, built and handed off. The Build starts at $15K and ships a unified Shopify, ads, and email revenue dashboard plus key automations in one month.

What ROI should I expect from AI automation?

ROI depends on store volume and the opportunity selected. CRO, support, lifecycle, merchandising, and reporting builds should be scoped against an observable baseline, then measured in conversion recovered, tickets deflected, carts saved, repeat purchases, or hours returned.

What hidden costs should I budget for?

Budget for model and app usage, data cleanup, integration work across Shopify and the rest of the stack, monitoring, and maintenance when vendors change APIs. A retainer usually includes maintenance; a fixed-price build usually does not.

Is a fractional AI officer worth it vs. cheaper options?

If you have one simple workflow and time to maintain it, DIY tools are cheaper. Miller & Miller is worth it when you want an experienced senior team to stay with the work from roadmap through build and monthly proof. The low-risk test is the Ecommerce AI Opportunity Audit: from $5K, with the roadmap, numbers, and build plan yours to keep either way.

The best way to start is not with more AI tools. It is with someone who owns it — and that starts with the Ecommerce AI Opportunity Audit: three weeks to a roadmap, the numbers, and a build plan. Yours to keep, either way.

Start with the Ecommerce AI Opportunity Audit.

Three weeks to a roadmap, the numbers, and a build plan — yours to keep, whether or not we work together after.

A short call to scope the AI Opportunity Audit. Three weeks to a roadmap and the numbers — whether or not we work together after.

  • The audit is yours to keep, either way
  • A real reply within one business day
  • An AI executive, not a vendor — Google, Spot AI, Stanford Law