Agent

One agent. Every customer moment.

The customer-facing side of Unless — one AI Customer Agent across acquisition, retention, expansion, and support, with the Help Center it auto-generates as its public face. Browse a moment, or see the full overview.

Acquisition

Qualify, convert, educate. 24/7 on your marketing site.

Retention

See churn coming. Act before it does, inside the customer's product.

Expansion

Catch upsell signals early. Route them to the right owner.

Support

Resolve, co-pilot, learn — across every helpdesk and channel.

Engine

The platform underneath.

The back-of-house side of Unless — a Living Knowledge library that maintains itself, plus the Train → Test → Deploy → Analyze loop that keeps every Customer Agent sharper after every conversation. See how the engine compounds.

Train

Always current. Always ready. Living Knowledge + Living Context.

Test

Before a customer sees it. Preview, simulate, audit.

Deploy

One agent. The whole journey. Memory across all of it.

Analyze

Performance, value, AI maturity. All visible. All live.

Trust

Built for the EU from day one

The architecture that lets your DPO, security, and procurement teams sign off without slowing your team down. Browse the page, or jump straight to a section.

Privacy Vault

Twelve numbered measures keep sensitive identifiers home.

Compliance posture

Three pillars — sovereignty, AI Act readiness, sector readiness.

Architecture

Five EU-resident layers — touchpoints to LLM constellation.

Frameworks

EU AI Act, GDPR, DORA, OWASP — built into the platform, not bolted on.

Customers

Trusted by leaders

How regulated-Europe brands — from Visma to Onguard — turned customer success into a revenue engine with Unless.

Visma Enterprise AS

Norway's leading ERP — modernized self-service with Unless.

Helping patients

Patient self-service surged within weeks of deploying Unless.

Enhancing credit software

Financial service Onguard powers their support operations with Unless.

Ticket deflection at scale

Meet Sally, Kontek’s AI support colleague in regulated finance.

Resources

Search resources and support articles

Documentation, articles, and recipes for getting the most out of your Unless deployment — plus a help desk when you need a human.

Help center

Get-started guides and advanced playbooks for the platform.

Security and compliance

Privacy measures, security by design, and compliance guidelines.

Developer documentation

Find reference documentation for the javascript API.

The Unless cookbook

Bite-sized examples for every stage of the customer lifecycle.

Pricing

Pay per outcome. You choose.

Two equal-weight plans, both built around outcomes. Browse the page, or jump straight to a section.

The two plans

Flex (€0.99 per outcome) or Fixed (€1,999/month). Equal weight.

What's included

Full platform on both — Living Knowledge, Memory, Context.

Flex modules

Productized add-ons. À la carte on Flex, bundled into Fixed.

Frequently asked

What counts as an outcome, fair use, and switching mid-year.

Article

Preparing your organization for AI: roles and functions

Discover the essential roles your team needs to successfully implement and manage an Unless AI project from start to finish.

Updated 26 June 2025

Implementing an AI platform like Unless requires thoughtful planning and the right people at each stage. Here’s how to structure your team for a successful project, from initial setup to ongoing management.

Initial phase: Laying the foundation

Support from an executive sponsor
Make sure to have the back-up of a senior leader who champions the project, secures resources, and ensures alignment with business goals. Their support is essential for overcoming organizational hurdles and driving momentum.

Assign a project manager
The project requires a single spokesperson. They oversee planning, timelines, and communication. This person coordinates between stakeholders, manages the project plan, and ensures milestones are met. Usually, it’s just a few hours a week of effort.

Arrange for IT support (maybe)
In most cases, a dedicated IT person isn’t required. Instead, and only if needed, an IT specialist may provide part-time support for initial integrations, user provisioning, and ensuring data security during setup.

AI training phase: Building intelligence

In the pilot phase, the AI needs to be set up. This requires mostly content expertise, usually combined in one person, or maybe two. Quite often, the project manager is the same person.

Knowledge base editor or subject matter expert
Responsible for curating, updating, and improving the knowledge base that the AI will use. This role ensures the content is accurate, comprehensive, and tailored to your organization’s needs.

AI optimizer
Works closely with the knowledge base editor to test, refine, and optimize the AI’s performance. This may involve prompt engineering, reviewing AI responses, and making iterative improvements to ensure the assistant delivers relevant and compliant answers.

Ongoing management: Sustaining value

AI manager (again, single role possible)
Once the system is live, ongoing management can often be handled by a single AI manager. This person monitors performance, updates the knowledge base as needed, and addresses any issues or new requirements. They act as the point of contact for feedback, continuous improvement, and liaising with Unless support if needed.

Summary table: Roles by project phase

Initial phase Executive sponsor, project manager, IT support
AI training phase Knowledge base editor, AI optimizer
Ongoing management AI manager

Conclusion

By structuring your team according to the project’s lifecycle—starting with leadership and project management, moving through content and AI optimization, and finally consolidating into streamlined ongoing management—you’ll set your organization up for a smooth and effective AI implementation with Unless. This phased approach ensures you have the right expertise at each stage, while keeping long-term operations efficient and sustainable.

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