AI agents that handle the repetitive decisions your team currently makes by hand
AI agents that triage, sort and act on repetitive tasks — support tickets, lead qualification, document review — connected to your real systems.
The problem
An inbox that fills up faster than one person can triage it is not a staffing problem you can hire your way out of quickly, and it is rarely a problem that needs a full-time person's judgment for every single item in it. A support inbox needs each message sorted by urgency and topic before anyone can act. A lead form needs someone to check whether the enquiry is actually qualified before a salesperson spends time on it. A batch of documents needs someone to extract the same three fields from each one before the data is useful anywhere else. This work is repetitive enough to be exhausting for a person and specific enough that a generic chatbot widget, which just answers FAQs, doesn't touch it. Businesses either absorb the delay — a lead sits unqualified for two days — or throw more headcount at a task that's fundamentally about following a consistent set of rules quickly, not exercising judgment.
What we build
We build AI agents scoped to a specific, well-defined task rather than a general-purpose assistant that tries to do everything and does nothing reliably. A support triage agent reads incoming messages, classifies them by topic and urgency, and routes them to the right queue or person. A lead-qualification agent checks a new enquiry against your actual criteria — budget, timeline, fit — and either fast-tracks it to sales or files it for nurturing. A document agent extracts the specific fields you need from a batch of files and feeds them into your existing system, instead of a person retyping them. Each agent is connected to your real systems — your CRM, your inbox, your database — through n8n, so the output lands where your team already works rather than in a separate dashboard nobody checks. We build with clear boundaries: the agent handles what it's confident about and flags anything ambiguous for a person, rather than guessing and quietly getting it wrong. We start with the single highest-friction task, prove it in production, then extend to the next.
What you get
- Scoping of the specific task the agent will handle and its decision boundaries
- Agent build connected to your inbox, CRM or document source
- Routing logic for ambiguous cases that need a human decision
- Integration so agent output lands in your existing systems
- Test period against real incoming volume before full handover
- Monitoring and adjustment during the first weeks of live operation
Stack
Timeline
Scoping and boundary definition: 3 to 5 days. Agent build and integration: 2 to 3 weeks. Test period against live volume: 1 to 2 weeks before full handover.
Indicative cost
From €2,000 for a single-task agent to €12,000 for a program covering multiple tasks across support, sales and document processing, priced by scope and integration complexity.
Frequently asked questions
How is this different from a chatbot widget on our website?
A chatbot answers questions a visitor types. These agents act on tasks that already happen in your business — sorting, qualifying, extracting — connected directly to the systems where that work needs to land, not confined to a chat window.
What happens when the agent isn't sure what to do?
It flags the case for a person instead of guessing. We define those boundaries during scoping specifically so the agent's confidence threshold matches how much risk you're comfortable automating.
Can it work with the CRM or inbox we already use?
In most cases yes, through an API. We confirm this during scoping, since a handful of older or niche tools need a workaround rather than a direct connection.
How do we know it's working correctly before relying on it fully?
We run it against real, live volume in a test period, with a person reviewing its output before it runs unsupervised. Full handover happens only once accuracy is proven, not on a fixed calendar date.
What tasks are a poor fit for this approach?
Anything requiring genuine judgment on ambiguous, high-stakes decisions — a final hiring call, a legal interpretation — is not what we scope an agent for. We're explicit about that boundary during scoping rather than overselling what automation can responsibly do.
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