One customer agent for every moment

Unless is a compliance-first, AI-native customer success platform that helps regulated European enterprises turn customer success into their #1 revenue driver. It is built for financial services, pension providers, healthcare organizations, and other compliance-heavy businesses that want to scale acquisition, retention, and support with AI — without compromising on GDPR, the EU AI Act, or DORA.

Unless covers the entire customer lifecycle — from converting leads and fighting churn to capturing upsells and freeing support capacity. Agentic AI, semantic search, and smart hand-offs work together so your customers get 24/7 intelligent self-service while your team focuses on strategic accounts, rather than firefighting.

Unless deploys AI assistants on marketing sites, product portals, logged-in dashboards, and internal tools — giving customers instant, intelligent self-service with human-level contextual understanding. AI agents guide users through complex workflows, answer questions in their language, and proactively surface the right information at the right moment.

Unless helps regulated enterprises overcome four critical barriers: rising self-service expectations that legacy tools can't meet, the AI deployment cliff that stalls pilots before they reach production, compliance uncertainty around the EU AI Act and GDPR, and linear cost scaling where every new customer means more support hires. The platform replaces these blockers with AI that scales without adding headcount.

Unless is the only AI-native customer success platform purpose-built for EU regulated sectors. Unlike generic AI tools, it delivers compliance through the entire stack — not just data residency — while covering the full customer lifecycle from acquisition to expansion. Responses are grounded in your approved content and systems of record, with configurable guardrails, smart hand-offs, and complete audit trails.

Unless follows a compliance-by-design approach with GDPR, DORA, the EU AI Act, ISO 42001, and OWASP built into the architecture — not bolted on. You stay in control of which data is used at each lifecycle stage, where it is stored, and how AI agents behave, making it straightforward to satisfy regulators, auditors, and internal risk teams.

Customers using Unless typically see a 58% ticket deflection rate, 31% faster ticket resolution, and observed ROI of 500% in the first year. AI leaders using the platform achieve up to 3.8× the performance of industry laggards. Over time, these gains translate into lower operating costs, higher net retention, more expansion revenue, and better use of human expertise.

Unless can be deployed on marketing sites, product and help centers, logged-in portals, and internal tools used by success, sales, and support teams. This lets you offer consistent AI assistance from acquisition and onboarding through everyday usage, renewals, and upsell conversations, all on a single platform.

You can start with a free pilot in as little as four weeks. Connect your main content sources, deploy an AI assistant on a single page or portal, and measure results before committing further. With no-code templates and 50+ prebuilt integrations, many organizations launch their first use case — such as support deflection or onboarding assistance — and then scale with a phased implementation plan once they see impact.

Unless provides a de-risked deployment path: start with a free pilot, then scale with a phased implementation plan, built-in evaluation milestones, and dedicated account management. Product, success, and engineering specialists help you design lifecycle use cases, configure agents, and optimize flows so your AI-powered customer success keeps improving as your products, content, and regulations evolve.

Unless sits on top of your existing systems with 50+ integrations connecting your knowledge bases, CRM, ticketing systems, and portal frameworks. You can deploy AI assistants into any legacy product without code, using our UI component framework, browser extensions, or native apps — keeping current investments, processes, and governance models in place.