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A customer-care person at her desk reviewing an inbound request on her phone.

From message to resolution in seconds

connects to your ERP, CRM, and order management systems and resolves customer queries autonomously across email, chat, WhatsApp, and voice.

Theyremembered.Theyfollowedup.Theyalreadyknewtheanswer.Thatisnotahuman.Thatis.

Four channels, three capability layers, one resolution engine

Every customer interaction flows through the same engine regardless of the channel. The platform resolves, validates, and learns from every conversation.

oHallo platform architecture showing channels, resolution engine, validation layer, learning loop, and system integrations

The path from inbound message to validated resolution

Every message follows the same path. The customer is identified, the intent is classified, specialist agents query your business systems, a reply is composed and validated, and the response is delivered through the original channel.

Conversation flow from message ingestion through contact resolution, intent planning, specialist agents, validation, and delivery

Understand the request and act on your systems

The orchestrator reads the message, identifies the customer, classifies the intent and determines which specialist agents to dispatch. Each specialist queries your business systems via MCP and your knowledge base, reasoning about the results and refining its search until it has the evidence to answer. A message agent then composes a complete reply using all gathered context.

Every reply checked before it reaches the customer

Before any response is sent, a separate validator fact-checks every claim against the data retrieved from your systems, verifies compliance with your policies, and checks the tone against your brand guidelines. When verification cannot be completed after three rewrites, a team member takes over and finishes the conversation. High-value actions pause for explicit human approval before they execute. The platform handles what it can verify; the team handles what requires their judgement.

Every human intervention improves the next resolution

When your team handles a conversation, the platform analyses what the autonomous system was missing and drafts proposals for new knowledge base entries and policy updates. Your team reviews and approves them. Agents find and use new entries within seconds of approval, so the next similar conversation resolves autonomously.

The learning loop: autonomous resolution, human intervention, learning extraction, knowledge base updates

Youarenotadoptinganewtool.Youaredecidingwhatkindofcompanyyouwillbeontheotherside.

Connect to any business system via Model Context Protocol

The platform connects to your CRM, ERP, order management, claims systems, and any other business system through MCP. Pre-built connectors are available for major platforms and you can build custom MCP servers for proprietary systems. Your systems remain the source of truth.

MCP integration model showing connections to CRM, ERP, and industry-specific systems

Full accountability on every conversation and every response

Every decision, every system query, and every policy check is recorded immutably -- designed to meet the record-keeping obligation of the EU Artificial Intelligence Act by construction. All infrastructure and AI inference runs in the European Union; enterprise deployments can run LLM inference on your own infrastructure via private inference. Each customer's data is fully isolated at every layer of the stack.

Trust and compliance layer showing audit trail, policy enforcement, and validation records

See the platform in action

Connect your systems and start resolving customer queries autonomously from day one