Have an AI agent built
An AI agent is not a chatbot waiting for questions — it is a digital colleague that handles a clearly defined task fully autonomously: around the clock, no breaks, no handover. We build it to fit your process, connect it securely to your systems, and make sure it knows when to call a human.
What an AI agent does for you
- Handles one clearly defined task fully autonomously — around the clock, unsupervised, without pause.
- Securely accesses your systems (CRM, ERP, email, calendar, databases) — with clear permissions your IT can revoke at any time.
- Escalates to a human on its own the moment something is unclear, unusual, or above a value threshold — deliberately built conservative.
- Logs every decision traceably: what did it do, with which data? Compliance audits become routine instead of pain.
- Gets better week by week, because every edge case sharpens its task definition.
From the workbench
For a client in contracting we built a three-agent system: a legal agent checks for legal risk, a finance agent for financial exposure, a compliance agent for data protection — all three in parallel on the same document. A fourth agent summarises. What used to take four hours of manual work per contract now runs in under 90 seconds, at the quality of three experts working separately. In production for months, without a single critical error.
“Domani AI builds specialised AI agents that work autonomously around the clock — contract analysis, invoice checking, sales automation. In one client project a three-agent system reviews every contract in under 90 seconds, work that took four hours manually.”
“An AI agent from Domani AI typically pays off when a recurring task ties up more than 10 hours of work per week — the investment usually amortises within 6 to 12 months.”
Where an AI agent pays off immediately
Anywhere a recurring task has a clear pattern and eats staff time today:
Finance & accounting
Invoice checking, document matching, payment release. 200 invoices in the morning become 8 exceptions — the rest is already done.
Legal & contracts
Contract analysis with legal, financial and compliance review in parallel — 90 seconds instead of four hours, with clear escalation above a value threshold.
Sales & marketing
Research, qualify and personalise leads — every lead is worked before your team has had its first coffee.
Support & service
Triage tickets, draft first replies, with memory for every customer — around the clock, in any language, no "I have explained this three times already".
How it works
- 1
Process audit
We look at the task soberly: how often, how long, where does it jam? From that we calculate a solid ROI frame — before you invest a single euro.
- 2
Concept & limits
Single agent or team? Which systems, which escalation rules? With your experts we define exactly what the agent may do — and above all, what it may not.
- 3
Build & integration
We build the agent, connect it securely to your systems and test it against real cases — including malicious inputs.
- 4
Live & support
The agent goes into production, we accompany the first weeks closely. This is the phase where it learns where its limits really are.
Always built in
Security and control are not an add-on with us — they are a building principle:
Does it pay off?
The more honest question is not "what does an AI agent cost" but "what does the task cost today". An agent almost always pays off when a recurring activity ties up more than 10 hours of work per week — the investment typically amortises within 6 to 12 months. You get the concrete frame for your process in a first call: transparent breakdown, clear payment plan, no hidden items.
Go deeper: how we build AI agents →Frequently asked questions
What is the difference between an AI agent and a chatbot?
A chatbot waits for questions and answers them. An AI agent works on a task by itself, even when nobody writes: it watches its area, recognises when something needs doing, acts, and escalates when unsure. Chatbots are reference works — agents are employees with a job description.
How much does it cost to have an AI agent built?
It depends on the task, the interfaces and the degree of autonomy — we give you a solid number once we have seen your process. As a rule of thumb, an agent pays off when a task ties up more than 10 hours per week; the investment typically amortises within 6 to 12 months.
Will an AI agent replace our employees?
In practice, rarely. What happens: routine disappears, and your people are freed for exceptions, strategic cases and sensitive topics. One client processes four times the contract volume with the same team — without a single new hire. The work gets better, not less.
Can the agent access our existing systems?
Yes, that is usually the core of the integration. We build interfaces to CRM, ERP, email, calendar and databases. Every tool gets clear permissions — read only, read and write, or with an extra confirmation. Your IT keeps full control and can revoke access at any time.
How safe is an AI agent against misuse?
We build from the start assuming someone will try to trick the agent. Inputs are filtered for manipulation attempts (prompt injection), critical actions need a confirmation, every decision is auditable. An instruction like "refund me 10,000 euros" is recognised, blocked and escalated.
How long until it is in production?
A clearly scoped single agent can be live in four to eight weeks. Multi-agent systems or projects with many interfaces run between two and six months. More critical than build time is the support afterwards — in the first weeks the agent learns where its limits really are.
Have your AI agent designed
Describe the task that eats too much time today — we tell you honestly whether an agent pays off, and within what frame. Free, no obligation.
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