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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.

Analyze

Business impact

Version 1.0 · Last updated 2026-05-28

The satisfaction side of Business impact. Shows CSAT scores, resolution time, customer ratings, and sentiment trends. The numbers you use to prove the agent is not just fast, but good.
This feature is in Beta and will be available soon.

Deflection without satisfaction is just abandonment with extra steps. This tab shows whether customers are actually happy with the answers the agent gives.


The upcoming CSAT component

The Customer Agent will include a built-in CSAT component that appears at the end of a resolved conversation. Instead of redirecting customers to an external survey tool, the agent asks for a rating inside the same surface where the conversation happened. One tap, no context switch. The rating feeds directly into the satisfaction metrics on this tab.

The component adapts to the Moment and the Personality you configured. A Support conversation might ask “Did we resolve your question?” with a 1-to-5 scale. An Acquisition conversation might ask “Was this helpful?” with a thumbs up or down. The phrasing follows the tone you set in Personality, so the survey feels like part of the conversation, not a bolted-on form.

Key concepts

CSAT score

The average satisfaction rating customers give after a conversation. Shown as a number out of 5 and as a percentage of positive ratings (4 and 5). Always read alongside the response rate.

Response rate

The share of resolved conversations where the customer actually left a rating. A high CSAT on a low response rate is less reliable than a moderate CSAT on a high response rate.

Resolution time

Time from first customer message to conversation resolved. Shown as a median and as a trend over time. Lower is better, but not at the cost of satisfaction. A fast wrong answer is worse than a slower right one.

Sentiment trend

The agent reads the emotional tone of each conversation. The trend shows whether customers are getting more or less frustrated over time. Useful for catching problems before they show up in CSAT, because sentiment moves faster than survey responses.

Baseline comparison

A before-and-after view. Set the date you deployed Unless (or made a major configuration change) and the dashboard shows the delta in CSAT, resolution time, and sentiment between the two periods.

What you can do here

  • See the current CSAT score and response rate
  • Track resolution time as a median and a trend
  • Monitor sentiment trends across Moments
  • Compare current performance against a baseline period
  • Break down all metrics by Moment
  • Click into any metric to see the contributing conversations

When to use it

  • Weekly check on customer satisfaction trends
  • After a Personality or Procedures change, to measure the impact
  • When building the case that the agent is not just deflecting, but resolving well
  • Before a quarterly business review, to pair satisfaction numbers with cost and revenue data

When not to use it

How it works

The agent collects ratings at the end of each conversation. Sentiment is analyzed per message during the conversation. Resolution time is logged from first message to resolution. The dashboard aggregates these into the scores and trends you see. Every data point links back to a conversation you can read.

Frequently asked questions

Where does the CSAT score come from?

From the in-conversation rating the customer gives after the agent resolves the question. The agent asks for a rating when the conversation ends. Not every customer rates, so check the response rate alongside the score.

CSAT looks high but I do not trust it. Why?

Low response rates skew CSAT high because satisfied customers are more likely to rate. Cross-check with negative-feedback counts in Conversations and look at the sentiment trend for a fuller picture.

What is the difference between CSAT and sentiment?

CSAT is an explicit rating the customer gives. Sentiment is the agent's reading of the customer's tone during the conversation. CSAT is what the customer says they feel. Sentiment is what the conversation sounds like.

How is resolution time calculated?

From the moment the customer sends the first message to the moment the conversation is marked resolved. Includes wait time if the agent escalates to a human.

Can I compare CSAT before and after deploying Unless?

Yes. Set a baseline date in the settings. The dashboard shows the delta between the baseline period and the current period.

Can I break down satisfaction by Moment?

Yes. The tab shows CSAT, resolution time, and sentiment per Moment. Support and Retention typically have the most data.

What do I do if CSAT drops?

Open Conversations, filter by negative ratings, and read the conversations. Common causes: the agent answered confidently but incorrectly (update Living Knowledge), the agent could not help and did not escalate (adjust de-escalation in Procedures), or the tone was off (adjust Personality).

Business impact · Revenue generation