AI agents that keep customer service and internal work moving.

We give each agent a defined operational role: find information, carry out permitted actions, and hand judgment calls to a person. Customers spend less time waiting, and teams receive better-prepared cases.

Customer Agent Systems Team

One operation, two roles

Two ways to reduce the workload that falls on your team.

An agent can assist customers directly or prepare work behind the scenes. We start with the task that needs to move forward, not the channel where it begins.

Customer-facing agents

Handle predictable requests and hand off everything else with the right context.

During the conversation, the agent uses company data and business rules to address the customer's needs. When a case falls outside its approved scope, it prepares a clear handoff for the team.

  • Look up availability, orders, customer records, or schedules
  • Record requests and information confirmed in the conversation
  • Explain known steps in consistent language
  • Route negotiations, exceptions, or sensitive decisions

Agents for internal operations

Prepare the context before someone has to search for it again.

Behind the scenes, the agent gathers the information people need to process orders, review records and documents, and make decisions with fewer screens and interruptions.

  • Combine scattered information into a useful view
  • Check documents and criteria before human review
  • Summarize history and highlight open items or exceptions
  • Prepare records and next steps for review

The agent works within clear operating boundaries.

The ClaraVia Workflow Map defines the sources, actions, boundaries, and criteria the company can review before the agent goes live.

Defined sources

The company knows which systems and documents support each answer or check.

Permitted actions

Every action and system update follows a defined rule and has an expected result.

Escalation and handoff

Exceptions, uncertainty, and sensitive decisions are routed to the right person with the reason and conversation history attached.

Built-in oversight

Activity records and feedback show where the agent helps and what still needs adjustment.

WhatsApp connected to operations

WhatsApp becomes an organized entry point, not an isolated queue.

The solution can work with the customer service setup the company already uses. The agent handles its defined part of the workflow; when a person takes over, the conversation, collected details, and reason for the handoff are ready.

  • Triage aligned with current queues and ownership
  • Data collection without asking for information twice
  • The agent pauses when a person takes over
  • Conversation history available for review and improvement

Example workflow

An inventory question should not require checking four different systems.

This example illustrates the kind of change that guides a project. Each company's actual rules are mapped and reviewed before launch.

Before

A customer asks on WhatsApp. A team member checks inventory, opens the customer record, reviews the relevant business rules, interrupts someone to confirm an exception, and only then returns to the conversation.

With the redesigned workflow

The agent brings together availability, customer information, and the applicable business rules. If the case is within its approved scope, it prepares or sends the reply; if there is an exception, it escalates the case with the relevant details.

Less waiting for the customer, less searching for the team, and clearer source data and ownership for each decision.

An agent's role starts with the workflow, not a script.

The map defines which sources the agent can use, what it may do, when it must stop, and how to hand the case to a person without losing the story.

Start with a real task

What customer requests or routine checks interrupt your team most often?

Tell us about one real case. ClaraVia will review the workflow and systems involved, then identify where an agent could help while leaving sensitive decisions to the right people.

Talk to us about an AI agent You do not need a script, a finished knowledge base, or a technical specification to get started.