Build support that takes the customer to a resolution.

Connect your knowledge, account systems, and service procedures through the Cenmax AI API. Build support agents that investigate a question, take the permitted next action, and bring a specialist in with the context to finish the job.

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01 / WHAT YOU CAN BUILD

Carry the conversation through to the work.

Knowing the policy is one part of resolving a support request. Your team also needs the order, the account history, and a way to act. Cenmax AI combines reasoning and tool calls so you can build customer support automation that follows your procedures across those steps, from the first question to the final handoff.

A customer resolution agent

Build an AI customer service agent that searches your knowledge, checks the customer’s order, and works through the relevant procedure. It can establish return eligibility, request a permitted action through your application, and escalate exceptions with the conversation and actions already taken.

Build with: Help articles, service procedures, order lookup, account history, permitted action tools
What you get: A support application that answers account questions, requests service actions, and produces complete exception handoffs.

An intelligent ticket queue

Create a queue assistant that classifies incoming requests using your issue categories, groups related reports, and recommends the right team. Bring repeated symptoms into one view and attach the relevant product and customer context, so agents can work from a useful investigation starting point.

Build with: Ticket messages, product categories, team ownership rules, customer context
What you get: A triage workspace with classified requests, related-issue groups, suggested ownership, and handoff briefs.

A service quality investigation workspace

Build a quality workflow that examines resolved conversations against your service rubric. Detect recurring policy mistakes, inconsistent explanations, and missed follow-ups, then trace each finding to the relevant conversation. Give support leads a focused worklist for coaching, process changes, and deeper investigation.

Build with: Resolved tickets, quality rubric, service procedures, feedback records
What you get: An evidence-linked quality dashboard and prioritized improvement worklist for support leaders.

A knowledge improvement system

Connect ticket themes with your help content to find questions that have no useful answer or repeatedly need clarification. Build a workflow that proposes article changes, links them to the cases that prompted them, and packages updates for your existing content publishing process.

Build with: Ticket themes, help articles, resolved cases, content ownership and publishing tools
What you get: A knowledge backlog with proposed article updates and supporting customer cases, ready for your editorial workflow.

02 / SEE IT IN ACTION

Build a return-resolution application

Example workflow

WHAT TO BUILD

Build a support agent that checks an order, explains our return policy, requests an eligible return through our service API, and sends exceptions to the right team.

01
Define knowledge search, order lookup, return-request, and escalation tools around your service APIs.
02
Build the conversation flow, eligibility checks, action confirmations, and exception handoff.
03
Create a ticket interface and test complete journeys for eligible returns, policy exceptions, and unavailable order details.

THE RESULT

A working support application with order-aware conversations, a return-request flow, and a specialist handoff carrying the case history.

03 / WHY CENMAX AI

The intelligence.
The tools to act.

Reason through complex work, create the files and code you need, and put AI into your applications. Cenmax AI brings the model and the tools together.

Explore the tools

Connect the answer to the action

Cenmax AI API tool calls let your application combine knowledge retrieval, account lookups, and service actions. Build the flow around your procedures while your application manages permissions and action execution.

Build the service software with Cenmax AI

Use Desktop or CLI to develop the tools, interface, and evaluation cases. Cenmax AI can edit the integration code and run your tests, with plans and diffs to help your developers inspect the implementation.

04 / COMMON QUESTIONS

More about Cenmax AI
for your team.

How do we connect our helpdesk and service systems?

Expose the knowledge searches, account lookups, and service actions you want to support as tools in a Cenmax AI API integration. Your application connects those systems and applies the permissions and confirmations for each action.

Can we build both customer-facing and agent-assist workflows?

Yes. Use the API to build a customer conversation interface, an internal agent workspace, or both. The same service tools can support different experiences and action permissions.

How should the system handle exceptions?

Define escalation conditions in your application, such as policy exceptions or actions requiring an agent’s approval. Pass the conversation, records consulted, and actions taken into the handoff so the next team can continue.

KEEP EXPLORING

Connected work.

All solutions

BUILD WITH CENMAX AI

Put Cenmax AI
to work for you.

Bring your next project to Cenmax AI. Work with our agent tools or build AI into your own application through the API.

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