
Customer agent
Respond to inquiries, retrieve service information and coordinate the next step.
Intelligent agents that work inside your business—connecting people, data, applications and workflows. With human judgment built in.
Build an AI agent
An AI agent combines language understanding with business rules, approved information and tools. It can help complete work and involve a person when judgment is needed.
Receive a request, event or piece of information.
Understand the intent and context.
Find approved business information.
Choose a next step within your rules.
Use approved tools to complete the task.
Check the result and confirm completion.
Involve a person when judgment is needed.
The level of autonomy should match the responsibility. Design permissions, reviews and escalation into the workflow from the beginning.
Prepare information and suggest a next action.
Complete the work and wait for human approval.
Take pre-approved actions inside defined boundaries.
Route uncertain or sensitive situations to a person.
Agents become useful when they can work with the systems you already use.
A FEW COMMON QUESTIONS
A chatbot primarily responds to a conversation. An agent can also access approved information, use tools, complete multiple steps and verify the result. Its scope depends on the responsibility it is designed for.
We evaluate your applications, APIs, data sources and security requirements during discovery. The integration approach depends on what each system supports and the reliability the workflow needs.
No. Start with one repetitive or time-consuming workflow, define the boundaries, evaluate the result and expand from there. Human review can remain part of the process.
Agents can be designed with role-based access, approved data sources, action limits, approval workflows, audit records and escalation rules. The controls should fit the business process.

YOUR NEXT CHAPTER
Start with the business problem.
We’ll help you find what’s possible.