Customer support
Resolve the repeatable queue
Answer recurring service questions, gather the missing details and hand back a structured issue when specialist work is required.
Chat Agent · Cross-channel answers and actions
Chat agents that keep context—and move the work forward.
Bring supported web, messaging, and in-app conversations into one operating layer. Give every channel the same approved knowledge, tools, boundaries, and path to a useful next action.
What it delivers
Four movements from request to result.
- 01
Meet customers where they write
- 02
Keep answers consistent
- 03
Resolve routine work
- 04
Log the result
Product in motion
See chat turn an interaction into a result.
An illustrative workflow showing the work, the action and the record returned at completion.
One service layer. Every channel.
Carry the same context, answer, and follow-through across web, WhatsApp, and in-app conversations.
Illustrative workflow
Build with Zoft Copilot
Describe the service outcome. Copilot builds the chat operation.
Copilot creates the operating brief, knowledge and tool plan, channel behavior, workflow actions, handoffs, and evals behind the conversation. The resulting components stay visible and editable.
One service layer
Customers see channels. Your operation should see one conversation.
Channel growth often creates duplicated answers, fragmented context and inconsistent handoffs. Zoft Chat is designed to separate the customer’s entry point from the work required behind it, so each channel can use the same service logic.
One operating brief
Define the agent’s knowledge, actions and boundaries once, then apply that service pattern wherever the approved channel is available.
Context that survives the front door
Keep the conversation focused on the customer’s request rather than making them navigate a different process for every channel.
An answer that can do something
Connect routine questions to order, account or support workflows so the exchange can end with a result, not another ticket.
How it works
Design the service once, then bring channels online deliberately.
The agent becomes useful when knowledge, actions and channel behavior are treated as one operating system rather than three separate chat widgets.
- 01
Define the service
Choose the requests the agent should resolve, the information it may use, the actions it can take and the cases that need a person.
- 02
Connect channels and tools
Attach the approved customer channels and the helpdesk, customer record or internal workflow needed to complete each request.
- 03
Launch by queue
Start with a bounded set of conversations, review the resulting records and extend coverage only when the service pattern is ready.
One service layer
Every channel reaches the same operating context.
- Spotlight 01
Every channel, one queue
Bring website, WhatsApp and app conversations into one service pattern.
Channel routerContext ready - Spotlight 02
Context follows the conversation
Use the same approved information and action logic wherever the customer writes.
Shared contextGrounded - Spotlight 03
Resolution reaches the helpdesk
Log the request, action and result so the human queue can continue without reconstruction.
Resolution recordResolved
Where chat earns its place
Use it where customers expect an answer before they leave.
A strong first chat queue combines recurring questions, accessible source information and a clear resolution path.
Orders and service
Turn status questions into answers
Help a customer understand an order or service request and complete an allowed update through the connected workflow.
Sales
Qualify interest in the moment
Ask consistent discovery questions while intent is active, then move the conversation toward the right commercial next step.
Built for operational control
One service model with explicit channel boundaries.
Production chat needs more than a widget. Teams must decide which information is approved, which actions are safe, how a conversation is evaluated and recorded, and where people remain responsible.
- 01
Shared rules, channel-aware delivery
Keep one operating brief while adapting the presentation and handoff to the channel where the customer arrived.
- 02
Explicit service boundaries
Define what the agent resolves, what it records and what moves to a human queue before the workflow is exposed to customers.
- 03
Quality gates before release
Test facts, tone, tool use, policy, handoffs and the final resolution before expanding the agent to more conversations.
Questions before rollout
Chat FAQ
Clear scope is part of production quality. These answers separate the product direction from details that are confirmed for each deployment.
Which channels does this page describe?
The current Zoft product experience describes website, WhatsApp and app-based chat. The exact channel rollout and availability are confirmed for your environment during discovery.
Can the agent use the same answers everywhere?
The product is designed around one operating context across approved channels. Each deployment still defines the information sources, channel behavior and actions appropriate to the customer experience.
What happens when the agent should not answer?
The service design identifies requests that remain with people and the context the agent should capture before handing the work back. The exact handoff depends on the helpdesk and queue design used by your team.
Can it update an order or customer record?
Connected actions are scoped to the systems and permissions chosen for the deployment. Zoft maps the desired resolution flow first, then confirms the integration approach required to support it.
How should a team choose its first chat queue?
Choose a queue with repeatable questions, reliable source information and a clear definition of resolved. That creates a useful review loop before the agent expands into more varied conversations.
Related products
Keep the operating layer connected.
Product 01Voice AgentBuild real-time Zoft voice agents that understand intent, use approved tools, complete the next action, and return a usable call record.Product 02DeskZoft Desk combines support tickets and human-in-the-loop takeover so agents escalate with full context and resume after people resolve sticky cases.
Compare platforms
Decide with the actual operation in view.
Start with one conversation outcome
Put the first chat operation into the private beta.
Join the private beta, or talk with the team about supported channels, source knowledge, tools, boundaries, and the first request the agent should resolve.