Agentic Skills

Your AI doesn't just answer. It acts.

Connect any tool with an API, webhook, or MCP, and your AI uses agentic skills to act for customers, not just answer.

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No developer · No code · No integration project

GDPR & AI Act compliant 4.8 on Shopify 4.8 on G2 4.8 on Capterra 4.8 on Software Advice

What is an agentic skill?

An agentic skill is when the AI does something for the customer in the conversation, not just answers. Zipchat connects to your store and tools through an API, webhook, or MCP, then checks inventory, starts a return, tracks an order, applies a discount, or captures a reorder, on its own. No developer, no code.

Your support team has a workflow problem, not a support problem

Without agentic skills

Your agent checks three tabs to answer one question: look up the order, copy the status, paste it into the chat. Every time.

With agentic skills

Zipchat connects to the tools your store already runs. Give it a plain-language instruction and it executes the action every time. If your platform exposes an API, a webhook, or an MCP server, Zipchat works with it.

60–80% of customer interactions resolved without an agent opening a single tab
Any tool with an API, webhook, or MCP connects to Zipchat's agentic layer
0 lines of code needed to connect and activate your first agentic skill
For ecommerce

What your agentic AI does for ecommerce customers

Live actions across returns, loyalty, inventory, shipping, and reorders, executed without an agent opening a single tab.

"Can I return this?"

Return and exchange initiation

Zipchat checks policy and eligibility, confirms the return window, and starts the return. No agent involved.

"How many points do I have?"

Loyalty and rewards

Zipchat fetches the account, replies with the points balance, and shows the rewards available to redeem.

"Is this in medium?"

Inventory and product availability

Zipchat checks live stock in the size or color requested and answers before the customer refreshes the page.

"When does my order get here?"

Shipping and delivery estimates

Zipchat pulls the carrier estimate and replies in seconds, without an agent touching a single tab.

"What did I order in March?"

Personalized reorder suggestions

Zipchat retrieves the order history and offers a one-click reorder option in the same message.

A return just resolved

Contextual upsell

Zipchat suggests a relevant replacement at the moment of highest intent, based on purchase history. No pop-ups, no interruption.

Every one of these runs on your store's existing tools

Connect a tool, describe the action, and the AI takes it from there.

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How it works

Set up your first agentic skill in under an hour

No developer. No integration project. No code.

1

Describe the action in plain language

Type what you want the AI to do, like you would explain it to a new hire. No code, no logic trees.

"When a customer asks about a return, check the return window and reply with the next steps."

2

Paste your platform's API, webhook, or MCP

Copy the connection details from any platform your store already uses. Zipchat reads the documentation and learns the tool.

3

Set the guardrails

Approve which actions the AI can take. Sensitive operations can require confirmation before execution.

Initiate a return: allowed. Refund above $100: requires agent approval.

4

Your agentic AI handles it from there

The AI executes the action and responds. Every action is logged in your dashboard for review.

Customer asks at 3am on a Saturday. Zipchat replies. Your agent sees the log in the morning.

Set up your first action
The difference

What changes when your AI becomes agentic

Side-by-side: how the same scenario plays out with and without an agentic layer behind your AI.

Scenario With Zipchat agentic AI Without agentic AI
Return inquiry Agentic AI checks the return system and responds in seconds Agent opens three tabs to look up policy and eligibility
Loyalty balance Agentic AI fetches the balance and replies before the agent sees the message Customer waits while an agent manually looks up the account
Out-of-hours order question Agentic AI executes the action at 3am on a Sunday Question goes unanswered until morning
Shipping estimate Agentic AI pulls the carrier estimate and replies in seconds Agent looks up the carrier, copies the status, and pastes it into the chat
Reorder request Agentic AI finds the past order and offers a one-click reorder Customer digs through old emails to find what they bought
Agent time Agents see only the conversations that genuinely need them Agents spend hours on data lookups instead of solving real problems

See the difference on your own store

Connect a tool and run your first action in under an hour.
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Skill library

Activate from a pre-built library in one click

A library of ready-to-activate agentic skills is available in your account. Connect the tools your store already runs and turn on the action you need. No configuration required.

Order management Returns and exchanges Shipping and tracking Loyalty and rewards Inventory Discounts
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Is it for you?

Are Agentic Skills right for your operation?

Good fit

Right fit if

  • Your support team answers the same account or order questions all day
  • Customers need live data, not static FAQ answers
  • Your tools have an API, webhook, or MCP that Zipchat can connect to
  • You want your AI to close the loop, not just answer and hand off
Not for you

Not the right fit if

  • Your tools have no external API or connection method
  • Your compliance environment requires human review of every customer action
FAQ

Frequently asked questions

Does the AI actually take actions, or does it just answer questions?

Zipchat can do both. When connected to your tools via the agentic layer, the AI does not just retrieve information from your knowledge base. It makes live calls to your external systems, fetches real-time data, and executes defined actions on behalf of the customer. You control exactly what actions the agentic AI is allowed to take.

What tools can Zipchat's agentic layer connect to?

Any platform that exposes an API, a webhook endpoint, or an MCP server. This covers order management systems, returns platforms, shipping carriers, loyalty programs, discount engines, and inventory management. You copy the connection details from your platform and paste them into Zipchat.

Do I need a developer to set up Agentic Skills?

No. You describe the action in plain language and provide the connection details from your platform. Zipchat's agentic layer reads the documentation automatically and learns how to use the tool. Most setups take under an hour.

How does the agentic AI know what action to take?

You write a plain-language instruction that describes the trigger and the intended outcome. Zipchat reads the instruction, identifies when a customer conversation matches the trigger, and executes the action using the connected tool.

What happens if the agentic AI cannot complete an action?

If the connected tool returns an error or the AI cannot fulfill the request, it tells the customer it cannot complete the action and escalates to a human agent. The full conversation context, including the failed action attempt, is passed to the agent.

Can I control what the agentic AI is allowed to do?

Yes. You define which actions are permitted and set approval requirements for sensitive operations. The agentic AI cannot take any action that is not explicitly configured. Every action is logged in the dashboard for review.

Is customer data secure when the agentic AI accesses external tools?

Zipchat uses encrypted variable storage for all credentials and connection details. Data exchanged during agentic skill execution is not stored beyond the session. Zipchat follows GDPR and the EU-US Data Privacy Framework.

How is this different from a rules-based chatbot?

A rules-based chatbot follows a fixed decision tree. It cannot read natural language or respond to questions it was not explicitly programmed to handle. Zipchat's agentic AI understands natural language, determines intent, and executes the right action regardless of how the customer phrases the request.

Can Zipchat update my customer records automatically after a conversation?

Yes. When configured, the agentic layer writes outcomes back to your connected systems after a conversation closes. For an ecommerce store this includes resolution status, customer sentiment, and any data captured during the interaction, like a confirmed return or an updated delivery preference. No manual entry by the agent is required.

What is the difference between agentic skills and a standard integration?

A standard integration is a fixed pipe between two systems. It sends data from A to B when a specific event fires. An agentic skill is context-aware. The AI determines when to use the integration, what data to send, and how to communicate the result to the customer, all based on the live conversation.