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AI

AI Agents for Shopify

Custom AI agents that handle customer support, order processing, and product research automatically - so your team can focus on growth.

What is it?

What is AI Agents for Shopify?

AI agents are purpose-built software programs that autonomously handle specific, repeatable tasks inside your Shopify store without human intervention. Where traditional automation runs fixed scripts, agents can reason, make decisions, and adapt based on context. We design, build, and deploy agents trained on your store data, brand voice, and operational rules, capable of resolving customer enquiries, triaging order exceptions, researching trending products, and routing internal tasks without anyone picking up a keyboard. The result is a store that operates around the clock, handles routine complexity at scale, and frees your team to focus on strategic work rather than operational noise.

AI

What's included.

Everything in this service

Customer Support AI

An intelligent support agent trained on your product catalog, policies, and FAQs. It resolves order enquiries, handles returns and exchanges, and escalates edge cases to your team, all in your brand voice, around the clock.

Order Management AI

An automated agent that monitors your order queue in real time, flags fulfillment exceptions, contacts suppliers on delays, and updates customers proactively, before they need to ask.

Product Research AI

An agent that continuously scans market signals, competitor listings, and trend data to surface product opportunities matched to your niche, pricing strategy, and margins, delivered as a weekly report.

Workflow Automation

Custom agents wired into your existing tools: Shopify, Klaviyo, Gorgias, Slack, and more. We map your highest-volume manual tasks and replace each with a documented, monitored automation.

Why it matters

Why this matters for your store.

Every hour your team spends on repetitive tasks is an hour not spent on brand-building, supplier relationships, or growth strategy. AI agents do not just save time, they remove the ceiling on how many orders, enquiries, and product lines your store can handle without proportional headcount growth. Brands that deploy purpose-built AI agents today are establishing an operational advantage that compounds over time: lower cost per resolution, faster response rates, and richer data on customer behavior. Waiting until AI becomes mainstream in your niche means competing against brands that have already optimized their operations around it.

Our Approach

How we do it.

01

Workflow Audit

We map every repetitive, rules-based task in your store operations: support tickets by type, order exception frequency, manual research time, internal routing delays. This tells us exactly where agents will deliver the highest ROI.

02

Agent Design

We design the logic, decision trees, escalation rules, and tone guidelines for each agent. You review and approve every behavioral specification before a line of code is written.

03

Build and Training

We build each agent, connect it to your Shopify store and third-party tools, and train it on your product data, order history, policies, and brand language. Each agent is stress-tested against edge cases before deployment.

04

Deployment and Monitoring

Agents go live in a supervised phase where we monitor every action, measure accuracy, and refine the logic based on real interactions. You have full visibility into what each agent is doing and why.

05

Optimize and Expand

Once live agents are stable, we identify new automation opportunities and expand coverage. As your store grows, your agent infrastructure grows with it, without adding to your headcount.

Questions

Common questions.

What is the difference between AI agents and AI workflows?
Workflows are fixed automations: trigger, branches, end. Agents make decisions with context. A workflow can email a customer when an order is late. An agent can read the customer's previous tickets, check the supplier delay, write a custom apology in your brand voice, and offer the right resolution. Agents are slower and more expensive to build but handle complexity that workflows cannot.
Will the AI agent actually sound like our brand?
Yes. Each agent is trained on a brand-voice document, banned phrases, example responses, and tone-of-voice rules. We test against 100+ real historical tickets before going live to verify the voice lands correctly.
What happens when the agent does not know how to handle something?
Every agent has a confidence threshold. Low-confidence interactions go to a human review queue with full context attached, rather than autopublishing. You stay in control of edge cases; humans handle judgment, the agent handles volume.
How much does an AI agent deployment cost to run per month?
Model API costs typically run $0.20 to $2.00 per resolved interaction, depending on complexity and model choice. A customer support agent handling 500 tickets per month usually costs $200 to $600 in model fees. We forecast cost during scoping and add budget alerts.
Which AI models do you use?
Claude (Anthropic) for judgment-heavy and brand-voice work. OpenAI for vision, image generation, and structured outputs. Open-source models (Llama, Mistral) for high-volume cheap classification. Model choice is per task; we are not locked to one vendor.
Will my customer data be used to train AI models?
No. We use enterprise API endpoints for Anthropic and OpenAI with data usage opted out. No training, no logging beyond what is required to deliver the service. Your data stays your data.
Work With Us

Ready to get started?

Book a free call to discuss which AI agents would have the biggest impact on your store and what a deployment would look like.

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