Let AI handle your customer support

No. Most chatbots only generate replies. Resolveo is built to resolve: understand intent, apply your policies and past successful outcomes, then take the right action when it is safe. That can mean answering a question, updating a subscription, issuing a refund within your rules, or escalating to a human when the case needs human judgment. Conversation is the interface. Resolution is the product.

Only within the trust levels you set. High-trust, low-risk actions can run automatically. Medium-trust actions can require review. Sensitive or high-impact actions stay behind human approval. You decide what the agent may do on its own, what needs a check, and what always goes to your team. Automation grows as your confidence grows.

It does not force a guess. If confidence is low, the request is unusual, or the action sits outside your rules, Resolveo escalates to a human with the context gathered so far. Sensitive cases stay under human control by design. Your customers get a clear path forward. Your team keeps ownership of the edge cases.

Customer data is hosted in the EU (Netherlands). Resolveo is built with GDPR as a baseline: encryption in transit and at rest, privacy by design, and your data is not used to train external AI models. You keep ownership of your data. Auditability and control are part of the product, not an afterthought.

No. Resolveo takes the repetitive work your team already spends hours on every day: common questions, routine account changes, standard refunds within policy. Humans stay for judgment, empathy, exceptions, and relationship-heavy cases. The goal is fewer tickets that should never have needed a person, and more time for the ones that do.

Resolveo connects to the systems where your customer and support data already live, so the agent can look up context and take real actions, not just draft replies. Integrations and permissions are configured to match how your team works today. You keep your helpdesk, CRM, and business tools. Resolveo becomes the resolution layer on top.

You can get an agent ready without building complex workflow trees. Describe how it should behave in plain language, set guardrails, test with simulated conversations, then deploy across your channels. Most teams start with a focused set of high-volume requests and expand from there. No large engineering project required to prove value.

Every automated decision and action is reviewable. You can inspect what the agent understood, which rules or knowledge it used, and what it did next. Combined with configurable trust levels, that gives you operational control and a clear audit trail for compliance, coaching, and continuous improvement.