Free AI audit
GDPR-ready and enterprise-grade, delivered with our partners. We take care of everything.
Bespoke One Coworker. AI assistant. Answers in seconds, estimate in three minutes.
From global brands to young startups: teams we have built software, AI and engineering capacity for.
Zovi
What agents do
Each agent works inside the systems you already use and hands off to a person when your rules say so.
Answers customer questions from your help centre, order data and policies, day and night, in German and English.
Hands off to a human when a customer is upset, asks for an exception, or the answer isn't in your sources.
Works in
Customer support agent
Answers day and night, in German and English.
Replies to every inbound enquiry, asks your qualifying questions and books the right leads into your sales team's calendar.
Hands off to a human when a lead is a fit and ready to talk, or asks something only sales can answer.
Works in
Lead qualification agent
Every enquiry answered, the right ones booked.
Reads invoices, delivery notes and contracts from shared inboxes, extracts the fields that matter and posts them to accounting for approval.
Hands off to a human when a value doesn't match the order, a supplier is new, or confidence is below your threshold.
Works in
Document and invoice agent
Fields read, matched to the order, posted for approval.
Runs the repetitive steps between systems: updating records, chasing missing data, preparing reports and reminders.
Hands off to a human when a step needs a decision, an exception or a payment approval.
Works in
Back-office operations agent
The steps between systems, done on time.
Gives staff answers from your handbooks, process documents and past tickets, with a link to the source every time.
Hands off to a human when sources disagree, or the question touches HR, legal or anything confidential.
Works in
Internal knowledge agent
Answers from your own documents, with the source.
Resolves routine IT requests such as password resets, access requests and how-to questions, and logs each one as a ticket.
Hands off to a human when a request needs admin rights, touches security, or the fix didn't work.
Works in
IT helpdesk agent
Routine IT requests resolved and logged.
Four published findings on AI in service and office work, each with its source and date.
profit improvement Klarna expected in 2024 from its AI customer service assistant
Klarna press release, company estimate: $40M, at the ECB rate of 27 February 2024. As of February 2024
a year back per person in the UK government's 20,000 person AI assistant trial (26 minutes a day, self-reported)
UK Government Digital Service. As of June 2025
lower customer service operating costs by 2029, as agentic AI resolves 80% of common issues (forecast)
Gartner prediction. As of March 2025
more customer issues resolved per hour by support agents working with an AI assistant
Brynjolfsson, Li and Raymond, Quarterly Journal of Economics. As of February 2025
Set your own team and hours. The yearly figure updates as you go.
Your estimate, per year
€111,800
back in your budget every year
Your own estimate, not a quote. 46 working weeks a year; the 9 hours a week default is the Parseur and QuestionPro 2025 survey figure for manual data work.
How it works
The audit is free. After it, you decide whether we build the first agent.
Step 01 · Audit
Six questions here, then a conversation with the people who own the process. You get a written audit: where agents pay off, where they don't, and what to build first.
Step 02 · Design
We agree the agent's job, its data sources, its limits and its hand-off rules with your team, your IT and your data protection officer.
Step 03 · Deploy
We connect the agent to your systems, test it on real cases with your team and go live in stages.
Step 04 · Run
We monitor and improve the agent and report on what it does. You keep a named contact and a way to switch it off.
You bring the process and the people who know it. We handle the rest.
GDPR and enterprise
Before any personal data flows, we agree with you where it is hosted, who can reach it and what the agent may decide on its own.
Each one is confirmed per deployment. None of them is a certification.
Data stays in EU data centres through our partners, or on your own servers where you need it.
Signed with us and each partner involved before personal data flows.
People and agents see only what their role allows, tied to the accounts you already have.
Every action an agent takes is logged, searchable and exportable.
A person approves the decisions you define before the agent acts on them.
We don't claim certifications we don't hold. Your audit lists what each partner provides, so your data protection officer can check it.
Our work
AI inside products we designed, built and run.
AI and talent technology
AI job matching, CV optimisation, interview practice and candidate screening, with people making the final hiring call.
Clinic and workforce SaaS
A white-label platform that lets aesthetic clinics run their own branded patient apps on one CRM engine.
AI and talent technology
A corporate travel portal designed to search and compare flights, recommend options with AI and book them in the same journey.
By industry
Pick yours: the problem we hear in the first meeting, and the agent we would build first.
The problem
The front desk spends the morning on reminder calls and rebookings. Patient records sit in one system, invoices in another, and nobody sees which patients have quietly stopped coming back.
What we build
An agent that answers booking and aftercare questions around the clock and passes anything clinical to a person.
Usually connects to
Every patient, every site, one view.
The problem
Senior people spend their evenings on time sheets, engagement letters and status reports. Knowledge lives in inboxes, so every new case starts from a blank page.
What we build
An agent that drafts first versions of letters and reports from your templates and past matters, for a person to review and send.
Usually connects to
The firm's memory, finally searchable.
The problem
Orders arrive as PDFs and emails and get typed into SAP by hand. Planning runs on a spreadsheet that one person understands.
What we build
An agent that reads incoming orders and delivery notes, checks them against SAP and asks a person only when something doesn't match.
Usually connects to
Orders that reach SAP without a keyboard.
The problem
Customer service answers the same twenty questions all day. Returns are processed by hand, and by Friday the shop, the stock and the books disagree.
What we build
A support agent that answers order and return questions from your shop data and passes anything unusual to your team with the context attached.
Usually connects to
Shop, stock and books that agree on Friday.
The problem
Bookings, changes and documents arrive by email at all hours. The team types them into three systems, and customers call to ask where things stand.
What we build
An agent that handles booking changes and status questions, and passes disruptions to a person with the full history.
Usually connects to
The customer knows before they ask.
The problem
Applications and claims arrive as documents and get checked by hand against rules everyone knows by heart. Every audit means a week of collecting evidence.
What we build
An agent that reads applications and claims, checks them against your rules and prepares a decision for a person to sign off.
Usually connects to
An audit trail written while the work happens.
The problem
The roadmap is full, support tickets keep pulling engineers off it, and the internal tools are scripts nobody owns.
What we build
A support agent that learns from your docs and past tickets, resolves the routine questions and routes the rest with context.
Usually connects to
Engineers back on the roadmap.
Made and hosted in Germany
Your data stays in German data centres run by ISO/IEC 27001 certified partners, under the GDPR. We design, build and support everything from Düsseldorf.
Free AI audit
Your answers stay in this browser until you send them on the last step.
Yes. The questions, the written audit and the walkthrough cost nothing and commit you to nothing. If you want us to build afterwards, you get a separate scope and quote.
Your answers on this page, then a conversation with the person who owns the process, and someone from IT if hosting is a question. We don't ask for access to your systems at audit stage.
Where your contracts say it must be. For most DACH companies that means EU data centres through our hosting partners; on-premise is possible where you need it. We confirm the setup and sign data processing agreements before any personal data flows.
Established cloud, model and security providers we work with on enterprise deployments. Your audit names the ones relevant to you, what each one does and where it processes data, so your data protection officer can review them.
You decide. The written audit is yours to keep and use with any team. If you want us to design and deploy the first agent, we send a scope and a quote for it.
It depends on the systems the agent connects to, the volume it handles and where it must be hosted. For an indicative range, get an estimate, or ask us in your audit walkthrough.
Start with six questions, or put a price on the first agent.
From the first call to a system in production.
The people you meet in the audit are the people who build and run it.
Free AI audit
Your readiness score straight away. Then the written audit, and 30 minutes with your team to walk through it.
Estimate
Pick AI agents, answer a few questions and see an indicative range with timeline and team.
