Ticket map and action rules
Your ticket types, the steps each one needs, and the limits the agent follows, written down and approved.
The Problem
Your Agents Repeat the Same Lookups and Refunds All Day
It shows up when ticket volume outgrows the team. Most tickets need the same few steps in three different tools, and a chatbot that only answers questions can't take them.
01 · Address changes
An address change means opening Shopify, checking shipping, and writing back.
The agent reads the ticket, checks the order, and applies your policy rules.
02 · Refunds
Refund requests repeat the same steps in Stripe.
Refunds run only within the rules and amounts you approve.
03 · Buried tickets
Tickets that need judgment wait at the bottom of the queue.
Upset customers and damaged items go to a person with a case summary.
04 · Chatbot limits
Your chatbot answers questions but can't take a single action.
The agent resolves the ticket or drafts a reply for your approval.
A customer emails to change their address. Your agent opens the ticket, finds the order in Shopify, checks whether it shipped, edits the address, and writes back. Soon after, a refund request needs the same steps in Stripe. By lunch, the queue is full of tickets like these, and the ones that need real judgment wait at the bottom. Your chatbot can't help, because it answers questions but can't take a single action.
We start by mapping the actions your team repeats, then build an AI agent for customer service that does them inside your helpdesk. It reads each ticket, checks the order, applies your policy rules, and either resolves it or drafts a reply for approval. Refunds above your limit, damaged items, and upset customers go to a person with the case summarized. Your team handles judgment calls, not copy and paste.
Actions inside set limits
Returns, address changes, and refunds run only within the rules and amounts you approve.
Every step on the record
Each lookup, reply, and action is logged in the ticket, so you can check the agent's work.
People for judgment calls
Disputes, damaged items, and upset customers go to your team with a short case summary.
Our AI Customer Service Agent Development Process
From Ticket Mapping to a Supervised Agent in Five Steps
You approve what the agent may do, see it work on past tickets, and watch it in draft mode before it acts on its own.
We sort a sample of recent tickets by type and note the actions each one needed, such as a refund or an address change. You see which types an agent can resolve safely. If your helpdesk's built-in AI already covers them, we'll say so before we quote.
What's Included
What You Get With an AI Agent for Customer Service
Every project covers ticket mapping, action rules, helpdesk and store connections, testing on past tickets, and a supervised launch. Larger plans add refunds, channels, and stores.
Compare Options
DeveloperLook vs Helpdesk AI Add-Ons vs Another Hire
A helpdesk AI add-on is quick to switch on, and another hire brings judgment no software has. A custom AI support agent fits when your actions span several tools and need your own rules.
| Feature | DeveloperLookBest fit | Helpdesk AI add-on | Another support hire |
|---|---|---|---|
| Upfront cost | From $1,500, one-time | Low or none | Hiring and training time |
| Ongoing cost | Model and hosting fees | Per-resolution or seat fees | A full salary |
| Time to start | 3 to 10 weeks | A few days | Weeks to hire and train |
| Actions across tools | Store, payments, and helpdesk | Mostly inside the helpdesk | Any tool, by hand |
| Your policy rules | Written as checks and limits | Within vendor settings | Learned over time |
| Judgment calls | Sent to your team | Sent to your team | Handled well |
| Working hours | Around the clock | Around the clock | Shift hours |
| Audit trail | Every action logged | Varies by vendor | Depends on ticket notes |
DeveloperLook
Helpdesk AI add-on
- Upfront cost
- DeveloperLook: From $1,500, one-timeHelpdesk AI add-on: Low or none
- Ongoing cost
- DeveloperLook: Model and hosting feesHelpdesk AI add-on: Per-resolution or seat fees
- Time to start
- DeveloperLook: 3 to 10 weeksHelpdesk AI add-on: A few days
- Actions across tools
- DeveloperLook: Store, payments, and helpdeskHelpdesk AI add-on: Mostly inside the helpdesk
- Your policy rules
- DeveloperLook: Written as checks and limitsHelpdesk AI add-on: Within vendor settings
- Judgment calls
- DeveloperLook: Sent to your teamHelpdesk AI add-on: Sent to your team
- Working hours
- DeveloperLook: Around the clockHelpdesk AI add-on: Around the clock
- Audit trail
- DeveloperLook: Every action loggedHelpdesk AI add-on: Varies by vendor
Projects We've Built
Software Projects We Have Built
SaaS platforms and web apps we built for clients. An AI agent relies on the same skills: clean integrations, careful permissions, and thorough testing.
Oasic Finance SaaS Web Design & Development
- Finance
- SaaS Platform
- Dashboard
CognifyHR AI Recruitment Website and HR Dashboard
- HR & Staffing
- Technology
- Dashboard
Saasmo Recruiting Software Web Design & Development
- Technology
- HR & Staffing
- SaaS Platform
NextEdge Startup Web Design & Development
- Startups
- Technology
- Business
What Our Clients Say
What Clients Say After Launch
Feedback from teams we have built integrations, automations, and software for.
Before this project, keeping our inventory accurate was exhausting. We had information sitting across different systems, and our team was constantly checking and updating things manually. The team helped connect our store with the systems we rely on and built a much cleaner inventory workflow. What stood out to me was how seriously they took the little operational details. They didn’t just build something and disappear. They listened, fixed the messy parts, and made our day-to-day work noticeably easier. That alone made the project worth it for us.
DeveloperLook completely transformed how we handle recurring revenue. Before working with them, we were manually chasing payments every month and losing clients to failed billing. They set up our entire Stripe subscription system, including dunning logic and a self-service portal, and the difference was immediate. Involuntary churn dropped, cash flow became predictable, and our team stopped wasting hours on billing admin. Genuinely one of the best investments we have made for our SaaS.
The biggest issue for us was the amount of time our team was spending on questionable orders. Someone would flag an order, then another person would check the address, payment details, phone number, and sometimes even contact the customer. It became part of the daily routine, especially when order volume picked up. DeveloperLook helped us rethink that process and put clearer checks in place before an order reached our team. What I liked most was that they didn’t just recommend a tool and leave us to figure it out. They actually worked through the setup with us and explained why each part was there.
1,000+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
Work Culture
Why Support Teams Trust Us With Their AI Agent
An agent that can issue refunds needs limits before abilities. These habits shape every customer service AI agent we build, from the first ticket map to weekly reviews.
Limits before abilities
We set the refund cap, the order states, and the approval rules before the agent can act at all. You decide how much it may do alone.
Every action on the record
Each lookup, reply, and refund is written into the ticket as it happens. You can check any decision the agent made, days or weeks later.
Draft mode before live
The agent starts by drafting replies that your team approves or edits. It works on its own only after its drafts match your standards.
Handoffs with the case summarized
When the agent passes a ticket on, it adds a short summary of the request, the order, and its checks. Your agent reads one note instead of the whole thread.
Weekly reviews of its work
We read a sample of the agent's resolved tickets every week and fix any rule behind a weak result. People check accuracy instead of assuming it.
You own the agent
The code, prompts, and rules sit in your accounts, and you can switch models later. Nothing about the agent locks you into working with us.
Overview
Who builds a customer service AI agent that takes real actions?
DeveloperLook builds a customer service AI agent that works inside Gorgias or Zendesk, checks each order, and resolves routine tickets within your rules. It tags and routes tickets, answers order status, and handles returns, address changes, and refunds up to your limits. Projects start at $1,500, launch in 3 to 10 weeks, and every action is logged.
DEVELOPERLOOK
Project facts · AI Customer Service Agent Development
- Service
- AI Customer Service Agent Development (tickets, actions, escalation)
- Typical timeline
- 3 to 10 weeks, depending on plan
- Platforms
- Gorgias, Zendesk, or Intercom with Shopify, WooCommerce, or BigCommerce
- Built with
- OpenAI or Claude, helpdesk APIs, Stripe
- Experience
- 10+ years of development experience and 1,000+ shipped projects
- Post-launch support
- 30 to 90 days of tuning
- Communication
- Calls in US, UK, and AU business hours
- Starting price
- From $1,500 USD, fixed scope after discovery
Reviewed 28 Sep 2026 by Saimul Islam
Good fit
Support teams drowning in routine tickets
Your agents spend most mornings on order status, return, and address tickets, and you want those resolved without hiring another rep.
Brands processing refunds by hand
Your team approves and issues routine refunds one at a time in Shopify and Stripe, and you want small ones handled within set limits.
Stores whose chatbot can't finish the job
Your chatbot answers questions but can't process a return or cancel an order, so every real request still lands in your queue.
Support leads who want control
You want an agent that asks a person before risky actions, logs everything it does, and only sees the data its role needs.
Agencies running support for clients
You manage helpdesks for ecommerce clients and need a white-label partner to build an AI customer support agent under your agency's name.
Not a fit
Shopper chat on your store
You want shoppers to get answers in a chat window on your store, not tickets worked inside a helpdesk. Our AI Chatbot for Ecommerce page covers that.
No macros or routing yet
Your helpdesk has no macros, tags, or routing rules yet. Start with our Customer Support Automation Services page, because an agent needs that groundwork.
A handful of tickets
You get a handful of tickets a day. Better macros or your helpdesk's built-in AI will cost less than our $1,500 starting project.
AI approving large refunds
You want AI to approve large refunds or chargeback disputes on its own. We keep those decisions with a person, because mistakes there cost real money.
Not sure we're the right fit?
Send a two-line brief. We'll tell you honestly whether we're the right team.
Pricing
Transparent Starting Prices for AI Customer Service Agent Development
These are starting points in USD. Your final price depends on the agent's actions and connected tools, and you get a fixed proposal after a free ticket mapping. Model and hosting fees are separate.
For teams that want tickets tagged, routed, and order status answered inside their helpdesk.
$1,500one-time, USD
- Ticket map of your common requests
- Tagging and routing in Gorgias or Zendesk
- Order status replies from live store data
- Drafted replies for your team to approve
- Every action logged in the ticket
- 30 days of tuning
Recommended
For teams ready to let the agent complete returns, address changes, and small refunds.
$4,400one-time, USD
- Everything in Ticket Triage Agent
- Returns and address changes by rule
- Refunds up to a limit you set
- Cancellations before fulfillment
- Escalations with case summaries
- 60 days of tuning
For brands running several stores or channels through one support team.
$8,600one-time, USD
- Everything in Action Agent
- Email, chat, and social channels
- Up to 3 stores or brands
- Stripe payment and subscription checks
- Weekly quality sampling report
- 90 days of tuning
For Agencies
White-Label AI Support Agents for Agencies and Studios
You own the client relationship. We supply the agent engineering behind it: ticket mapping, action rules, helpdesk and store connections, and a supervised launch. Everything ships under your brand, with rule documents your team can maintain.
How the partnership works
White label: your client only ever sees your brand
- Your client
- You, the agency
- DeveloperLook
Share the client's tickets
Send a ticket export, the helpdesk, and the actions the client wants automated.
- Client needs
- You share the details
- Details received
We map and price
You get a ticket map, action rules, and a fixed price you can resell.
- Scope and plan
- Proposal to resell
- Your quoteYOUR LOGO
Build and hand off
We build, test, and launch the agent under your brand, then support your team.
- Done by our team
- Your brand on it
- Handed to your clientDone
Partner with DeveloperLookDelivered under your brand
Stay client-facing
We work under your brand, so the client relationship and retainer stay yours.
Rules clients sign
Written action limits your client approves before anything goes live.
Helpdesk know-how
Gorgias, Zendesk, and Intercom builds handled by one team.
Flexible capacity
Bring us in for one client's agent or a rollout across your book.
The Right Technology for Your Project
Technology Stack
We pick the model and connect only the tools each action needs: your helpdesk, your store, and your payment provider. These are the tools we use most.
Gorgias
Zendesk
Intercom
Slack
Shopify
WooCommerce
BigCommerce
Stripe
OpenAI
Anthropic Claude
Google Gemini
Meta Llama
Node.js
Python
PostgreSQL
Docker
FAQ
Frequently Asked Questions
Straight answers on cost, how an agent differs from a chatbot, the limits it follows, and when it hands off.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
Our AI agent starts at $1,500 for ticket tagging, routing, order status replies, and drafted answers inside your helpdesk. Adding returns, address changes, cancellations, and refunds within your limits is $4,400. Multi-channel agents across several stores start at $8,600. Model and hosting fees are billed separately, and your price is fixed after the free ticket mapping.
A triage agent launches in 3 to 4 weeks, and an action agent takes 5 to 7 weeks. Multi-channel agents take 8 to 10 weeks. Each one first runs in draft mode for about 2 weeks, so your team approves its replies before it works alone. Agreeing on the action rules usually takes longer than the build itself.
It's software that works support tickets like a trained team member: it reads the request, checks the order, and takes permitted actions. It runs inside your helpdesk, follows written rules, and passes anything outside those rules to a person with a summary. Think of it as a new hire that handles the repetitive half of the queue.
A chatbot answers questions in a chat window, while an agent completes the task behind the question. Asked about a late order, a chatbot shares the tracking link. An agent can also check the carrier status, reship within your rules, or refund the shipping fee, then log what it did. Many stores use both: a chatbot for shoppers and an agent for the ticket queue.
It reads the order number or email in the ticket, pulls the order and carrier status, and replies with the real status and tracking link. If the parcel is stuck past your delay threshold, it follows your rule: reship, refund the shipping, or hand the ticket to a person. The ticket closes with the lookup logged.
We turn each policy into checks the agent must pass before it acts, not just instructions in a prompt. A refund, for example, needs the order inside your return window, under your amount limit, and not already refunded. The agent's access covers only what those actions need, and anything that fails a check goes to a person.
It escalates when a request fails a rule check, when the customer asks for a person, or when the topic is on your human-only list. Typical examples are damaged items, chargebacks, refunds above your limit, and upset customers. The ticket arrives with a short summary of the request, the order, and what the agent already checked.
Yes, the agent can do both within limits you set. It can start returns, change addresses before fulfillment, cancel unshipped orders, and issue refunds up to an amount you approve. Each action runs through your store's or payment provider's API and is logged in the ticket. Anything above your limits waits for a person to approve.
You get a weekly report with resolved tickets, handoffs, and accuracy by ticket type. Deflection counts tickets closed without a person. Accuracy covers actions, not just words: reviewers check that each refund, return, or address change matched your rules. When one ticket type scores low, we fix its rules or move it back to draft mode.
You own the code, prompts, and rule documents, and they live in your accounts. We tune the agent for 30 to 90 days, depending on your plan, and review its tickets weekly during that time. After that, your team edits rules through the documents we hand over, or keeps us on for monthly reviews.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
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