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.

The loop, phase 01 of 04

Train. Always current. Always ready.

Living Knowledge keeps your business knowledge fresh. Living Context captures the procedures that turn knowledge into action.

See it in action

Why Train

Content rots. Train fixes that.

Most AI projects fail because the content goes stale. Articles drift, runbooks rot, the agent answers from yesterday. Train solves that. Knowledge stays current on autopilot. Procedures stay ready without anyone writing a script.

How Train works

Two senses. One pipeline.

Living Knowledge. Your knowledge, automated.

A three-step pipeline. Each step does one job.

01 - Sources

It listens.

Pull raw, unstructured signal from your business systems. Tickets, internal docs, Slack, Confluence, merge requests, recordings, websites.

02 - Content Library

It maintains.

Organizes and deduplicates the result. This is the grounding data the AI uses to answer.

03 - Surfaces

It serves.

Publishes the human-readable version across every surface that needs it - embedded inside the agent, served back to the team, available to every other system on autopilot.

Feedback loop

The support team is your highest-quality signal. Team Assistant captures every accepted draft, every override, every edit, and feeds it back into the Library. The loop learns from the people who already know the answer.

Living Context. Meaningful actions, captured.

Runbooks, but agentic. Defined once, run with permission.

Capture procedures.

Reset a password. Check an order. Trigger a renewal. Fire an in-app notification at the right moment. Same way you would write a runbook.

See it in Deploy

Connect to your stack.

CRM, billing, ERP, support tools, custom APIs. The agent does not invent actions. It runs the ones you defined.

See all connectors

Permission every step.

What the AI can do alone, what needs human approval, what is off limits.

See the trust architecture

Inside Train

Sources in. Knowledge out.

Plug in any source. The Library maintains itself on autopilot, and the procedures defined here run across every customer moment in Deploy.

unless.com/en/dashboard/train/knowledge

Knowledge base

6 sources · knowledge base
  • Engineering wiki 1.2k docs Connected
  • Sales playbook 348 docs Team only Connected
  • Team Assistant 5.8k tickets Connected
  • Public docs site 89 pages Syncing
  • Compliance library 0 docs Error
  • Pricing & contracts Not connected Disconnected

Your AI gets smarter every day. Without anyone editing a single article. Or writing a single script.

The Library

One Library. One source of truth.

Every signal flows into one structured Library - merged, deduplicated, labeled. Your team reviews suggested edits, accepts or rejects them in one click, and audits the full history of every change. When the agent gives an answer, this is where it came from. Non-ambiguous, always current, fully traceable.

unless.com/en/dashboard/train/knowledge/content-library

Knowledge base

2,102 articles generated

Next in the loop

Phase 02

Test

Every role, every skill, before a customer sees it.

See it applied See Train in action on Acquisition
unless.com/en/dashboard/train/knowledge

Knowledge base

6 sources · knowledge base
  • Engineering wiki 1.2k docs Connected
  • Sales playbook 348 docs Team only Connected
  • Team Assistant 5.8k tickets Connected
  • Public docs site 89 pages Syncing
  • Compliance library 0 docs Error
  • Pricing & contracts Not connected Disconnected
unless.com/en/dashboard/train/knowledge

Knowledge base

2,102 articles generated
unless.com/en/dashboard/test/quality

Quality reports

0 10 20 30 Value Oct 14Mar 30May 27Oct 01Feb 27Aug 25Feb 25 Month
Report Score Passed Actions
May 7, 2026 9:56 AM 76% 22 out of 29 open report
May 7, 2026 9:52 AM 21% 6 out of 29 open report
May 7, 2026 9:20 AM 0% 0 out of 29 open report
May 6, 2026 6:14 PM 72% 21 out of 29 open report
May 5, 2026 4:02 PM 69% 20 out of 29 open report
unless.com/en/dashboard/deploy/acquisition

Acquisition

5 procedures · acquisition
  • Book a meeting Active
  • Qualify the lead Active
  • Send pricing details Active
  • Route to an account executive Active
  • Send a re-engagement email Draft
unless.com/en/dashboard/deploy/retention

Retention

5 signals · retention

  • Churn risk language

    Active

    Cancellation intent, comparison shopping, escalating frustration in conversation.

    28 live last 4m ago

  • Pricing pushback

    Active

    Customer questions value, asks for discounts, or compares to competitor pricing.

    14 live last 22m ago

  • Reduced usage

    Active

    Login frequency or feature use drops below the customer’s 30-day baseline.

    9 live last 1h ago

  • Renewal approaching

    Active

    Contract end date within 60 days; surface renewal pricing and account health.

    73 live last 8m ago

  • Competitor mention

    Draft

    Named competitor referenced in a customer-facing exchange.

    Not yet enabled
  • Add signal From library
unless.com/en/dashboard/deploy/expansion

Sales expansion

5 notifications · expansion
  • Upgrade to Pro offer Card
  • Add team seats Banner
  • Annual billing savings Inline
  • Power-user perks Card
  • Pro features tour Modal
unless.com/en/dashboard/deploy/support

Support

  • Warmth Cool Warm
  • Pacing Brief Detailed
  • Formality Casual Formal
  • Confidence Tentative Assertive
I can absolutely see how frustrating this is — let me look into the account right away and walk you through what I find. You shouldn't have to chase this twice.
unless.com/en/dashboard/analyze/performance

Performance

0 4.7k 9.3k 14k Apr 8Apr 15Apr 22Apr 29May 6

By moment

  • Acquisition 4.9k
  • Retention 3.1k
  • Support 3.3k
  • Sales expansion 1.5k
unless.com/en/dashboard/analyze/business-impact

Business impact

Ticket deflection 63.5%
AI resolution rate 82.1%
Escalation rate 2.7%

Costs

€4.8K
  • Subscription costs
  • AI management hours

Savings

€18.4K
  • Saved by deflections
  • Saved by team efficiency
unless.com/en/dashboard/analyze/maturity

AI maturity

Total score 87%
Acquisition 80%
Retention 95%
Expansion 80%
Support 93%
Experimental 100%
Assisted 100%
Automated 75%
Agentic 61%
AI-First 100%
unless.com/en/dashboard/trust/privacy

Privacy

3 PII filters · privacy
  • Obfuscate PII during inference
  • Remove PII from user input
  • Filter PII from training data by default

PII filter whitelist

Unless DORA AI Act GDPR Q3 Acme Visma Type a word and press comma or enter to add it
unless.com/en/dashboard/trust/security

Security

Prompt injection prevention

  • Enforce privilege control
  • Validate user input
  • Cleanse untrusted user input

Secure output handling

  • Enforce strict validation for LLM responses
  • Apply LLM output sanitization

Avoiding training data poisoning

  • Anomaly detection

Denial of Service (DoS) prevention

  • Limit context window
  • Enforce API rate limit

Supply Chain Security

  • Use Content Security Policy (CSP)

Sensitive information protection

  • Apply data sanitization filters
  • Limit external data access for the LLM

Secure Plugin Design

  • Enforce parameterized inputs
  • Apply plugin authentication

Limited Agency

  • Enforce user approval for new action categories

Limited reliance on LLMs

  • Enforce a disclaimer in all AI assistants
  • Limit functional purpose of LLMs
unless.com/en/dashboard/inbox

Today's briefing

6 messages · open · routed to you

  • Knowledge suggestion New article ready: "How to set up live chat triggers"

    13:09

  • Save play queued Anna K. (Visma) — usage drop, day 12 of trial

    11:42

  • Upsell signal Onguard · 14 seats in use of 10 included

    09:15

  • Hand-off pending Tax & VAT — refund eligibility, policy unclear

    13 May

  • Procedure update Refund flow rewritten from 6 accepted overrides

    12 May

  • Knowledge suggestion Conflict detected: "Eligible regions" appears in 3 articles

    11 May

See Train against your knowledge.

Plug in your sources. Watch the Library and the Help Center build themselves. No edits, no scripts.

Book a pilot