Create with context
Bring AI into the work of shaping a store or app. The catalogue, brand and current editing surface give a request meaning beyond a standalone text prompt.
INTELLIGENCE BUILT INTO THE BUSINESS
AI that knows the business. And gets to work.
Agora is AI-native at its foundation. Its agents use the business context inside the platform to assist customers, carry out tasks and coordinate operations, with permission and approval boundaries around consequential actions.
BUILT AROUND THE WORK
What this means
for your business.
Help customers move forward
A shopping conversation can begin with a need, occasion or budget. Ground discovery in the merchant’s products and policies, then move toward the appropriate next step in the buying journey.
Act across the operation
Merchant agents can work with business context rather than an isolated spreadsheet. Define the tasks they can execute, the workflows they can coordinate and when the owner must approve a change.
THE BUSINESS BEHIND THE CAPABILITY
Two audiences. Different kinds of work.
A shopper wants help finding and buying. A merchant needs to understand and operate the business. Each journey needs its own context, access and action boundaries.
Shopper intelligence
Explore product discovery and order-support responsibilities without exposing private operator capabilities.
Merchant agents
Move from a business question to a defined task, an authorised action and a result your team can inspect.
INSIDE AGORA AI
Intelligence belongs inside the operating system.
Agora’s AI works with business context inside the platform. Creating an experience, helping a shopper and operating a business are distinct jobs with different information and action permissions. Conversation is one interface; permitted execution is what turns the request into work.
Store & app creation
Bring a brief into the editing context and inspect the resulting draft.
Product discovery
Use needs, preferences and catalogue information to narrow a shopping decision.
Business questions
Inspect the relevant records behind an operating question.
Task execution
Allow agents to carry out defined actions on the owner’s behalf.
Workflow coordination
Connect multiple permitted steps while preserving responsibility and result visibility.
Approvals & handoff
Separate advice, a proposed change, confirmed execution and a task that needs a person.
FOLLOW THE BUSINESS JOURNEY
A concrete operating example.
A merchant asks an agent to help with an operating task. The agent uses the relevant records and authorised tools, identifies any approval it requires and carries out the permitted work. The owner can inspect the result and take over when the request is ambiguous or the action fails.
The exception matters, too.
| What happens | What the team needs to resolve |
|---|---|
| The information is missing | Ask for the required context or use a defined handoff instead of inventing an answer. |
| An action needs approval | Show the intended change and wait for the authorised decision. |
| Execution fails | Distinguish failure from completion and provide a safe next step. |
Inspect the supplied workspace.
Supplied Agora ai workspace. This capture provides interface context; the operating scenarios on this page use separately labelled sample data.
SHOPPER INTELLIGENCE / ILLUSTRATIVE JOURNEY
Start with a need.
Make a product decision.
Choose a customer request and inspect the example reasoning, product context and next decision. This scripted illustration makes no live AI or catalogue call.
CHOOSE AN EXAMPLE REQUEST
EXAMPLE RESPONSE
A practical choice within the budget.
The illustrative Luna bag is priced at €89. Inspect the material, variant and product detail before adding it to the buying journey.
The actual catalogue supplies the product facts. The agent should not invent availability, discounts or delivery commitments.
Customer scope
Product discovery and customer support need a different access boundary from private merchant operations. A shopping conversation should not expose operator permissions.
Decision before consequence
Keep product selection, order changes and payment decisions explicit. A useful answer does not prove that an order or payment action has completed.
FOLLOW THE PROCESS
From the first step
to the next decision.
01
Understand the request
Identify the customer or merchant task and the information required.
Understand the request→Work within permission→Make the outcome inspectable
02
Work within permission
Use the relevant business context and the capabilities enabled for that role.
Understand the request→Work within permission→Make the outcome inspectable
03
Make the outcome inspectable
Show the answer or resulting work, ask for approval when needed and escalate when the task cannot be completed.
Understand the request→Work within permission→Make the outcome inspectable
Operating walkthrough · Review the exact configuration for your business.
A CLEARER PICTURE
Good questions.
Useful answers.
Is Agora an AI connector?
No. Agora is the commerce platform itself. AI operates within the same environment as the store, app and business operations.
Is the AI only a chatbot?
No. Conversation is one interface. Agents can assist with tasks and execute permitted work; the exact action set depends on the role and configuration.
Who remains in control?
The business sets access and approval boundaries. Important actions should have an explicit review and handoff process.
BUILD WITH AGORA
Your next chapter starts here.
Bring your business, your ambition and the questions that matter. Let’s explore what you can build with Agora.