The dilemma
Most AI does too little. Or too much.
Too little
Chatbots don't add enough value.
Deflects tickets. Nothing else. Customers feel the ceiling, support workload stays the same.
Too much
Autonomous agents go too far.
Acts without supervision. Compliance exposure. No audit trail. Procurement says no.
Right amount
UNLESS does the work, safely.
From sales to support, for the entire customer lifetime. Customers get real help. Auditors get their trail.
The customer-facing side
The face your customers meet.
One AI agent and the help center it auto-generates - both front-of-house, both built from the same Living Knowledge. Tickets deflected, revenue captured, CSAT lifts.
- 01 Customer Agent
- AI assistance, AI search, AI procedures. Deflects tickets, captures revenue, lifts CSAT - across acquisition, retention, expansion, and support.
- 02 Help Center
- Auto-generated from your Living Knowledge. Served inside the agent, the assistant, and as a public help center. Content ops drop to near-zero.
The team-facing side
The co-pilot your team runs on.
A team co-pilot inside the helpdesk your team already uses. Drafts replies, surfaces customer context, leaves a full audit trail behind every action - and every override feeds the system's Living Knowledge back to the customer-facing side.
- 03 Team Assistant
- Works inside the helpdesk your team already uses. Cuts time-to-resolve, drafts replies in your tone, and leaves a per-decision audit trail any DPO or auditor can read.
- 04 Team Feedback
- The same surface your support team uses to submit new content suggestions - and to vet automated content changes before they go live. Every override and every accepted suggestion feeds Living Knowledge, so the customer-facing agent gets sharper with every shift.
Interoperability
Every source in, every channel out.
100+ integrations feed three senses: Living Knowledge (what the agent knows), Living Memory (who it's talking to), and Living Context (what it can do). One agent, one memory, every channel: your customer never has to introduce themselves twice.
All your channels
One relationship, 24/7, everywhere.
Living Knowledge
What the agent knows: cleaned, rewritten, unambiguous, up-to-date. All on autopilot.
Living Memory
Who the agent is talking to: CRM data, preferences, and previous interactions in one working memory.
Living Context
What the agent can do: CRM, billing, ERP, support tools, custom APIs - connected and aware.
All your channels
One relationship, 24/7, everywhere.
The flywheel
Train. Test. Deploy. Analyze.
Four phases, one loop, always closing. Every interaction the deployed agent has is feedback into the next training cycle, sharpening the answers customers see and the actions the agent is allowed to take.
Compliance
Built for Europe.
Customer spotlight
Trusted by European leaders.
"Using the AI platform of Unless has made a big difference for many Visma companies, providing a rapid implementation that meets all the legal standards that our group demands."
Janne Katajamäki, Head of Integration, Automation and AI at Visma
- 30+
- Visma companies covered
- 4
- Weeks to first deployment
- 512%
- Observed return on investment
The numbers
10M+ resolutions. Proven at scale.
64%
Content ops automated
Knowledge maintenance that used to take a team now runs on autopilot.
71%
Average efficiency gain
Measured across team productivity before and after deployment.
78%
Ticket deflection rate
Average across all customer touchpoints, from sales to support.
37%
Outside office hours
Resolved without human involvement, across every channel, around the clock.
Pricing
Two plans. You choose.
Flex
€0.99 per outcome
100 outcomes per month minimum. Pay only for what the agent resolves, and pick your modules.
New Flex plans start with €50 of credit, and you can cancel at any time while trying it in the first two weeks.
Fixed
€1,999 per month
Full platform, full service. Includes a guided, four-week pilot. Predictable cost for up to 5000 outcomes.
News
Latest from Unless.
Sync GitLab issues into your Content Library automatically
Less manual upkeep, a fuller Help Center.
The boundary is the thing you can draw
Why judging each request is the wrong shape, and what to do instead.
A watermark is not a disclosure
Two obligations, one announcement, and the gap between them.
Frequently asked questions
How well does Unless actually perform?
You also only pay when Unless delivers an outcome, so performance and price stay aligned.
Who already uses Unless?
These are businesses with real compliance demands, not early-stage experiments.
Which AI model does Unless run on, and is our data safe?
The Privacy Vault tokenizes sensitive data at the gateway, before it goes anywhere.
Is Unless just a support tool?
One agent, one brain, one relationship per customer, from the first website visit to the deepest support thread.
Does Unless get better over time?
Every cycle makes the next one sharper, so the system improves the longer it runs.
Can Unless handle complex, multi-step requests?
Every procedure carries explicit permissions: what the agent can do alone, what needs a human, and what is off limits.
Does Unless connect to our existing systems?
Every interaction starts with the full picture, not a blank slate.
Where can we deploy Unless?
The agent can also fire proactive in-app notifications, the right nudge at the right moment, not a marketing blast.
Do we have to replace our current helpdesk or run a migration?
When the agent cannot solve something, it brings in the right human with full context, not a fresh ticket.
How much control do we have over what the agent does?
There is no autopilot. Unless never takes an irreversible step without a human approving the boundary first.
Is Unless compliant with EU regulations?
The architecture is configurable for the requirements of GDPR, DORA, ISO 42001, EU AI Act, and entities supervised by BaFin and AFM.
What happens to the data from each interaction?
As your business changes, the agent changes with it.
How does Unless learn about our business?
It speaks dozens of languages and works around the clock.
Can we test changes before customers see them?
Every decision is auditable too, with timestamp, decision path, model used, and source citation.
What can we measure and monitor?
It all updates live, so the numbers reflect what is happening right now, not last month.
How do we know if we are using AI well?
It then recommends the next steps to take, so you always know where you can safely go next. The view updates as you progress.
How much maintenance does Unless need?
Knowledge stays current, relationships stay warm, and the control stays with you.
We are not sure where to start with AI. Can Unless help us plan?
We have closed the AI gap in regulated industries before, so you do not have to figure out the order of operations alone.
Can Unless work with our older or custom-built products?
We build custom integrations and co-develop with the customers pushing hardest, because your results are the point.
Why should we use AI beyond support?
Unless works all four moments, so it protects and grows revenue, not just deflects tickets.
What is the ROI of running Unless across the full journey?
The biggest returns sit beyond the ticket queue.
How does pricing work?
You pay for resolutions and procedure handoffs, never for seats.
Where is Unless heading?
One agent, across the whole journey, learning on a loop.
One agent. Every moment. You stay in control.
What part of your customer journey is your current AI not touching?