AI platform for citizen services and customer service

What MEHI solves in a service operation

An inquiry can go through an automated conversation, a transfer and the intervention of an operator. When those stages work in isolation, the person has to repeat what they need and the organization loses context. MEHI connects service with the knowledge behind it and with the evidence needed to review it.

The platform lets you configure voice agents, follow calls and analyze results. The goal is for the organization to understand what was answered, when a handoff was needed and which information or rule needs improvement.

Conversation, knowledge and oversight

The agent converses based on instructions and knowledge prepared for the operation. Human involvement is defined by rules: what the AI can resolve, what it must check and when the conversation should be transferred.

KORENUS complements MEHI in managing institutional knowledge and supporting operators. Together, both products connect the conversation with knowledge records and case handling, depending on the scope implemented.

• Voice agents powered by conversational artificial intelligence
• Answers based on validated institutional knowledge
• Handoff to human teams according to the operation's rules
• Call tracking, reports and a traceable history of changes
• Knowledge management and continuity with KORENUS

When it makes sense to evaluate it

MEHI is worth evaluating when a team receives repeated inquiries, manages its own procedures or needs to oversee how AI and people work together. The decision does not depend only on call volume: the quality of the information, the exceptions and the ability to intervene also matter.

It is not a tool for consumers to delegate personal errands. It is a solution for organizations that define and oversee their own service.

What to agree on before implementing

The scope is built together with the organization: processes to cover, information sources, telephony, systems involved, owners and acceptance criteria. Integrations, implementation timelines and commercial terms require a specific assessment.

• Choose a concrete service need and its exceptions.
• Identify who validates the knowledge and approves changes.
• Define the agent's limits and the path to an operator.
• Agree on the evidence that will be reviewed to assess the result.